Journal of Advanced Engineering & Applied Sciences
type: channel
description: The Journal of Advanced Engineering & Applied Sciences (JAEAS) is a peer-reviewed, open-access scholarly publication dedicated to advancing research and innovation in engineering, technology, and applied sciences. JAEAS provides a platform for academics, researchers, and industry professionals to disseminate high-quality original research, review articles, and technical studies that contribute to scientific knowledge and practical applications in engineering and allied disciplines.
publisher: RESEARCH JOURNALS ONLINE (SMC-PRIVATE) LIMITED
language: en
publication name: Journal of Advanced Engineering & Applied Sciences
issn: 3106-7093
items: Ethical and Social Implications of Big Data Analytics in Decision Making Processes
items: Fourier Analysis in Signal Processing
items: Digital Transformation in Public Administration: Challenges and Opportunities
items: Applied Statistical Modeling for Productivity and Efficiency Analysis in Pakistan's Industrial Firms
items: Social Media Influencers and Behavioral Changes: Technological and Psychological Perspectives
items: Mathematical Modeling of Epidemic and Population Dynamics Systems
items: Fixed Point Theory and Its Applications in Engineering Problems
items: Smart Grids: Optimization and Stability Challenges
items: High-Energy Particle Physics and Accelerator Studies
items: Sustainable Manufacturing Practices and Green Engineering Solutions
items: Statistical Process Control in Industrial Engineering
items: Optimization Techniques in Civil, Mechanical, and Electrical Engineering
items: Numerical Methods for Partial Differential Equations
items: Water Resource Management Using Engineering Innovations
items: Game Theory Applications in Economics and Social Sciences
items: Data Science Techniques for Cybersecurity Threat Detection
items: Simulation Studies on 5G Network Performance
items: AI-Powered Industrial Automation: Trends and Challenges
items: Smart Healthcare Systems Using Wearable Devices: A Review
items: 3D Printing of Biodegradable Polymers for Biomedical Application

Ethical and Social Implications of Big Data Analytics in Decision Making Processes
type: item
description: The Big Data analytics has transformed how decisions are arrived at in most industries by facilitating the capabilities to process large quantity of data within a limited period of time and obtain insights, predictions and arrive at decisions. Though all of these innovations are yielding positive outcomes in increasing efficiency, evidence-based policymaking, and innovation, there exist severe ethical and social consequences as well. The most notable ones are the atmosphere of privacy erosion, algorithm bias, absence of transparency and lack of accountability, the surveillance threat, and the heightened social disparities. Through the frames of public policy, business strategies, the health care and the police, with regard to the ethical and social perspective, this paper critically reviews the ethical and social challenges of the decision-making perspective of the responsible data usage through review of structures and governance mechanisms of the responsible data usage. The interdisciplinary synthesis of scholarship in the research results in the identification of the requirements/recommendations to the ethical guidelines, regulatory supervision and inclusive practice required to provide fairness, accountability and respect to the individual rights in the age of big data.
subject: Articles
  topic: section
subject: Ethic and Social Implications
  topic: keywords
subject: Decision Making
  topic: keywords
subject: Social Implications
  topic: keywords
subject: Big Data Analytics
  topic: keywords
subject: Policy of Privacy
  topic: keywords
subject: Accountability
  topic: keywords
subject: Algorithm Bias
  topic: keywords
subject: Governance
  topic: keywords
creator: Asia Khan
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-12-24
publication date: 2025-12-24
starting page: 45
ending page: 56

Fourier Analysis in Signal Processing
type: item
description: Fourier analysis is one of the pillars of modern signal processing methods, making it possible to transform complex signals into basic sinusoidal signals. This mathematical framework makes it easy to analyze, synthesize and transform signals in both the time and frequency domains. The applications of Fourier analysis are in a variety of fields such as telecommunications, audio processing, image processing, biomedical engineering, and radar systems. This research is based on the theoretical basis of Fourier series and Fourier transform, the practical realization of Fourier series and Fourier transform in digital signal processing (DSP), and its performance in noise reduction, filtering and spectrum analysis. The study also addresses the progress made in the field of fast Fourier transform (FFT) algorithms and its effect with the computational efficiency. By combining advances in Fourier analysis with new digital signal processing methods, engineers can achieve the following: Clear up signals Optimal data transmission and performance improvements. The results indicate the critical importance of Fourier methods in the design, implementation, and optimization of analog and digital signal processing information systems. Furthermore, the research highlights that computational techniques have continued to evolve and there are newer and newer applications of Fourier analysis in large signal processing situations and in real-time signal processing situations.
subject: Articles
  topic: section
subject: Fourier analysis
  topic: keywords
subject: Signal processing
  topic: keywords
subject: Fourier transform
  topic: keywords
subject: Fast Fourier Transform FFT
  topic: keywords
subject: Frequency domain
  topic: keywords
subject: Digital signal processing
  topic: keywords
subject: Spectral analysis
  topic: keywords
creator: Muhammad Amir
creator: Muhammad Talal Aslam
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-11-23
publication date: 2025-11-23
starting page: 36
ending page: 44

Digital Transformation in Public Administration: Challenges and Opportunities
type: item
description: Digital transformation is now one of the top significant reforming agendas in the public administration domain with various governments worldwide catering to the increasing demands of efficiency, transparency, accountability, and services to the citizen issue. The whole digital technologies (e-government platforms, big data analytics, artificial intelligence and the cloud) has profoundly altered the way the public establishments start planning the policies, resources and communication with its citizens. The authors of this research paper provide the overview of the phenomenon of digital transformation in public administration studying critically the opportunities and challenges of public administration as the consequence of the literature review of scholarly articles and governance practices. The paper demonstrates the positive effects of digital transformation in the efficiency of the administration, and effects on both the quality of the service and citizen and evidence-based policy making. At the same time it realizes that it has to cope with the continuous pressure of digital divide, cyber security, organizational resolute, skills deficiency and regulatory and ethical issues. The combination of theoretical approach to the subject and empirical data enable this article to contribute to the insights into the topic of digital governance and can benefit the policymakers and administrators of the states that intend to implement the strategies of digital transformation as well as their sustainability and inclusiveness.
subject: Articles
  topic: section
subject: Digital Transformation
  topic: keywords
subject: Public Administration
  topic: keywords
subject: E-Government
  topic: keywords
subject: Digital Governance
  topic: keywords
subject: Public Sector Innovation
  topic: keywords
creator: Sikandar Ali Bhatti
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-11-09
publication date: 2025-11-09
starting page: 24
ending page: 35

Applied Statistical Modeling for Productivity and Efficiency Analysis in Pakistan's Industrial Firms
type: item
description: In the industrial companies and more so in the developing economies like in Pakistan, the competitiveness and sustainable growth heavily depend on productivity and efficiency. Over the past few years, applied statistical modeling has become an effective method of analyzing the level of productivity, efficiency differentials, and performance drivers at the firm level. This paper will discuss how statistical models, such as regression analysis, stochastic frontier analysis and panel data techniques, have been used to analyze productivity and efficiency in the industrial sector in Pakistan. On the basis of firm level and sectorial evidence, the study evaluates how statistical modeling can facilitate informed decision-making, benchmarking performance, and policy formulation. The results indicate that statistical applications have a strong capability of offering perspectives about the efficiencies gaps, resource exploitation, and structural limitations on the productivity of industry in Pakistan. The research shows the significant role of analytical methods in order to enhance the performance and competitiveness of industry in the developing economies through the use of data.
subject: Articles
  topic: section
subject: Applied statistical modelling
  topic: keywords
subject: productivity analysis
  topic: keywords
subject: efficiency analysis
  topic: keywords
subject: industrial firms
  topic: keywords
subject: Pakistan
  topic: keywords
subject: stochastic frontier analysis
  topic: keywords
subject: panel data
  topic: keywords
creator: Muhammad Haris Aslam
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-10-28
publication date: 2025-10-28
starting page: 12
ending page: 23

Social Media Influencers and Behavioral Changes: Technological and Psychological Perspectives
type: item
description: The social media influencers have become the figure of change in online societies due to their changing lifestyles, societal values, and consumer decision-making. Through technologies, algorithms, and inter-active platforms, influencers may be able to impact an enormous effect on the attitude, lifestyle habits, and psychological state of the followers. In this study paper, the technological processes and psychological processes on how social media influencers can lead to behavioral changes in demographic groups will be discussed. Based on the interdisciplinary writing, the paper has identified the importance of credibility, parasocial relationship, content personalization and pattern of digital engagement, which are all instrumental and result in the effect of the influencer. It also addresses the concerns of the related question, including the algorithms biases, the moral aspect of the question, and the impact it has on the psychological health. The findings are educative to researchers, practitioners and policy makers that might be keen to understand the functionality of the role of influencers in a digital mediated society.
subject: Articles
  topic: section
subject: Social Media Influencers
  topic: keywords
subject: Behavioral Change
  topic: keywords
subject: Technology
  topic: keywords
subject: Psychology
  topic: keywords
subject: Parasocial Interaction
  topic: keywords
subject: Digital Engagement
  topic: keywords
creator: Sara Syed
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-10-09
publication date: 2025-10-09
starting page: 1
ending page: 11

Mathematical Modeling of Epidemic and Population Dynamics Systems
type: item
description: Epidemiics and population dynamics mathematical modeling is an important instrument of comprehending the dissemination of dreadful diseases, anticipating population changes, and assessing intervention plans. The SIR (Susceptible-Infectious-Recovered), SEIR (Susceptible-Exposed-Infectious-Recovered), and Lotka-Volterra are examples of models used to study the relationship between groups of people and the disease. These models apply the concept of differential equations to the rates of change in populations and disease compartments over time to allow the researcher and the policy makers to predict the peak of an epidemic, assess vaccination policies, and the stability of the population in most cases. Complex dynamics (nonlinearity, stochasticity, and time-dependent intervention) can be studied using mathematical models with the help of computational simulations. This paper provides an overview of the major mathematical models in epidemic and population dynamics modeling, and particularly their uses in the planning of the health of the populace, ecological research and resource management.
subject: Articles
  topic: section
subject: Epidemiology
  topic: keywords
subject: Epidemic modeling
  topic: keywords
subject: Population dynamics
  topic: keywords
subject: SIR model
  topic: keywords
subject: SEIR model
  topic: keywords
subject: LotkaVoltaire system
  topic: keywords
subject: Differential equations
  topic: keywords
subject: Computational simulations
  topic: keywords
creator: Iram Zafar
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-09-16
publication date: 2025-09-16
starting page: 35
ending page: 43

Fixed Point Theory and Its Applications in Engineering Problems
type: item
description: The Fixed Point Theory is one of the essential areas of mathematics, which offers solutions to equations, according to which a given function causes a point to be itself. The theory has wide applications in engineering, especially in solving nonlinear equations, optimization, and algorithms that are iterative. To provide solutions with guaranteed existence and uniqueness, fixed point theorems, including the Banach Contraction Principle and the Schauder Fixed Point Theorem provide such assurances, and are usable in the engineering model, where stability and accuracy are needed. Control systems, fluid dynamics, signal processing, structural analysis and electrical circuits are also used in engineering. This paper gives a summary of Fixed Point Theory and explains why it is significant in the solutions of any practical engineering problem based on theoretical and computers techniques.
subject: Articles
  topic: section
subject: Additive Manufacturing
  topic: keywords
subject: Biodegradable Polymers
  topic: keywords
subject: Biomedical Engineering
  topic: keywords
subject: Tissue Engineering
  topic: keywords
subject: 3D Printing
  topic: keywords
subject: Polylactic Acid (PLA)
  topic: keywords
subject: Polycaprolactone (PCL)
  topic: keywords
subject: Regenerative Medicine
  topic: keywords
subject: Sustainable Materials
  topic: keywords
subject: Drug Delivery Systems
  topic: keywords
creator: Muhammad Sulman
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-08-29
publication date: 2025-08-29
starting page: 26
ending page: 34

Smart Grids: Optimization and Stability Challenges
type: item
description: The shift from conventional energy structures to clever grids is a primary soar ahead withinside the cutting-edge international of electricity. Smart grids contain the incorporation of robust communique, automatic methods and clever manipulate structures which might be geared toward enhancing efficiency, availability and sustainability. However, the emergence of extra renewable electricity sources, allotted generation, electric powered automobiles and bidirectional electricity waft has offered complicated optimization and balance demanding situations. These demanding situations are created via way of means of the intermittency of renewables, non-linear machine dynamics, cyber-bodily interactions and real-time operational constraint considerations. This studies article opinions the important thing optimization and balance demanding situations encountered through clever grids, critiques the optimization strategies which can be presently in place, and analyzes balance problems concerning the voltages, frequency, and device dynamics. The examine describes an prepared manner of methodology, discusses outcomes primarily based totally on machine modeling and overall performance evaluation, and identifies destiny studies instructions for resilient and strong operation of clever grids.
subject: Articles
  topic: section
subject: Smart Grid
  topic: keywords
subject: Optimization
  topic: keywords
subject: Grid Stability
  topic: keywords
subject: Renewable Energy
  topic: keywords
subject: Distributed strength Resources
  topic: keywords
subject: Power Flow
  topic: keywords
subject: Frequency and Voltage Control
  topic: keywords
subject: Metaheuristic Algorithms
  topic: keywords
subject: Demand Response
  topic: keywords
subject: Energy Management
  topic: keywords
creator: Daniyal Zaheer
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-08-06
publication date: 2025-08-06
starting page: 19
ending page: 25

High-Energy Particle Physics and Accelerator Studies
type: item
description: High Energy particle physics is the study of the building blocks of matter and their interactions on the smallest scales, whilst accelerator studies is the study of the development and optimisation of the machines in which these sociabilities can be explored. In this article the theory of particle physics is reviewed and the most important highlights of the development of this field are presented along with the technology of accelerators from radio frequency (RF) cavities to plasma wake field accelerators. We provide a method that is used for design of experiments and accelerators, discuss representative data and performance metrics, discuss some of the scientific and technological issues, and make some concrete recommendations about future research and facility development. The work involves synthesis of the theory, instrumentation, data analysis and computation techniques that are pertinent to modern high energy physics programs.
subject: Articles
  topic: section
subject: High energy physics
  topic: keywords
subject: Particle accelerators
  topic: keywords
subject: Collider physics
  topic: keywords
subject: Beam dynamics
  topic: keywords
subject: Detector instrumentation
  topic: keywords
subject: Luminosity
  topic: keywords
subject: Plasma wakefield acceleration
  topic: keywords
subject: Accelerator design
  topic: keywords
subject: Standard model
  topic: keywords
subject: Beyond Standard Model
  topic: keywords
creator: Muhammad Ahmad
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-07-26
publication date: 2025-07-26
starting page: 10
ending page: 18

Sustainable Manufacturing Practices and Green Engineering Solutions
type: item
description: Green engineering and sustainable manufacturing combine the environmental stewardship to production and design processes to minimize the amount of resources, waste, and emissions without economic and quality product expectations. The article is a review of theoretical backgrounds, approaches and empirical research on best practices and engineering innovations that facilitate manufacturing sustainability. The main issues are material substitution, energy efficiency, life cycle assessment, waste reduction, pollution prevention, and circular economy plans. A mixed methodology is a synthesis of literature, case studies, and quantitative studies. Data tables are used to summarize comparative performance indicators and results of sustainable interventions. The case study identifies the role of built-in methods and technology in enhancing the environment and competitiveness. The article ends with policy and managerial suggestions on the way forward in the area of sustainable manufacturing and green engineering.
subject: Articles
  topic: section
subject: sustainable manufacturing
  topic: keywords
subject: green engineering
  topic: keywords
subject: life cycle assessment
  topic: keywords
subject: circular economy
  topic: keywords
subject: eco-design
  topic: keywords
subject: resource efficiency
  topic: keywords
subject: industrial ecology
  topic: keywords
creator: Iffat Tariq
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-07-18
publication date: 2025-07-18
starting page: 01
ending page: 09

Statistical Process Control in Industrial Engineering
type: item
description: Statistical Process Control (SPC) stands as a pillar of quality operations and the optimization of the processes in the field of industrial engineering. SPC is a set of statistical techniques used to monitor, control, and implement improvements on the production process through the identification of variability, reduction of defects, and improvement of the working process. The research studies the SPC methods including control charts, process capability study and Six Sigma strategies with emphasis on their use in manufacturing systems, service systems and production systems. The paper combines the theoretical background and applied implementation policies with a focus on real-time monitoring and early detection of deviations, as well as continuous improvement. Results have shown that effective utilization of SPC can greatly result in stability of a process, lower expenditure, and quality of the product. The most important difficulties, such as human issues, accuracy of data collection, and compatibility with Industry 4.0 technologies, are also addressed. The study adds value to the overall idea of the importance of SPC in industrial engineering and offers practical recommendations to those practitioners and researchers interested in the field of optimizing production systems.
subject: Articles
  topic: section
subject: Statistical Process Control
  topic: keywords
subject: Control Charts
  topic: keywords
subject: Process Capability
  topic: keywords
subject: industrial engineering
  topic: keywords
subject: quality management
  topic: keywords
subject: Six Sigma
  topic: keywords
creator: Razia Asghar
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-06-21
publication date: 2025-06-21
starting page: 37
ending page: 43

Optimization Techniques in Civil, Mechanical, and Electrical Engineering
type: item
description: Optimization techniques are central to the field of engineering, and can help engineer and engineering disciplines in their efficient design, analysis and operation of systems that are constrained and have performance goals. In civil, mechanical and electrical engineering, optimization techniques can be used for better performance of structures, lesser material requirements, optimized energy efficiency, and intelligent control approaches. This article gives a review of classical and modern optimization methods, such as linear optimization, nonlinear optimization, integer optimization, metaheuristic optimization, multi-objective optimization, and optimization applications in fields of engineering technology. A methodical methodology that combines theoretical foundations, algorithmic selection and implementation strategies. Comparative analysis based on case data describing how optimization creates performance enhancement and cost reduction. The synthesis offers insights into potential best practice and future research directions of engineering optimization.
subject: Articles
  topic: section
subject: optimization techniques
  topic: keywords
subject: Civil engineering
  topic: keywords
subject: Mechanical engineering
  topic: keywords
subject: electrical engineering
  topic: keywords
subject: metaheuristic algorithms
  topic: keywords
subject: Multi objective optimization
  topic: keywords
subject: design optimization
  topic: keywords
subject: system performance
  topic: keywords
creator: Naqvi syed Ali Jafar
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-06-06
publication date: 2025-06-06
starting page: 29
ending page: 36

Numerical Methods for Partial Differential Equations
type: item
description: Partial Differential Equations (PDEs) are the mathematical engine of many models that have applications in the physical, biologic and engineering sciences. Numerical methods are essential to get approximate solutions if analytical solutions are not available. This article gives a full treatment of numerical methods for PDEs in the style of a research article with each section to address the theory, algorithmic choices, implementation approaches, and empirical comparisons. Finite difference, finite element, finite volume, spectral and discontinuous Galerkin methods are presented along with focuses on consistency, stability, convergence, adaptivity and solver performance. Part of the evaluation includes the use of representative model problems to assess accuracy, computational cost and robustness of models for several elliptic, parabolic and hyperbolic problems. The work ends with a set of practical recommendations, as well as a list of selected suggestions for genuine references for further study.
subject: Articles
  topic: section
subject: Partial Differential Equations
  topic: keywords
subject: Finite Element Method
  topic: keywords
subject: Finite Difference
  topic: keywords
subject: Finite Volume
  topic: keywords
subject: Spectral methods
  topic: keywords
subject: Discontinuous Galerkin
  topic: keywords
subject: Stability and Convergence
  topic: keywords
subject: Adaptivity
  topic: keywords
subject: Preconditioning
  topic: keywords
creator: Shah Fahad
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-05-26
publication date: 2025-05-26
starting page: 18
ending page: 28

Water Resource Management Using Engineering Innovations
type: item
description: Water aid control is important a good way to meet developing worldwide needs and in mitigating water shortage to make certain the sustainability of the environment. Innovations in engineering this can be in layout of infrastructure, real-time tracking and remedy technologies, that are key in optimizing availability, excellent and certainly distribution of water. This article presents a detailed review on engineering methods in water harvesting, storage, distribution, treatment and reuse. It has been proven that through the individual case studies and the provisional data that incorporated solutions work effectively in resolving the multi-faceted issues regarding water. The results of this study combine the theoretical foundations, methodological frameworks and the outcomes on performance to inform policy makers, engineers and other stakeholders about initiatives promoting water resilience.
subject: Articles
  topic: section
subject: water resource management
  topic: keywords
subject: engineering innovations
  topic: keywords
subject: desalination
  topic: keywords
subject: waste water treatment
  topic: keywords
subject: smart water systems
  topic: keywords
subject: sustainable water infrastructure
  topic: keywords
subject: integrated water management
  topic: keywords
creator: Sikandar Ali Bhatti
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-05-07
publication date: 2025-05-07
starting page: 10
ending page: 17

Game Theory Applications in Economics and Social Sciences
type: item
description: Game theory: game theory offers a formal and mathematical language in which we can model strategic interaction among agents in a situation that their payoffs are depending on the choices of other agents. Originating in economics, it has now spread to political science, sociology, psychology, law and computer science. This article sees over static and dynamic games, cooperative and non-cooperative games, complete and incomplete information games, some major results (empirical and experimental), as well as demonstrating methods employed to apply game theory to the problems of market design, public goods, voting and political bargaining behavior, social norms, and networked behavior. A mixed qualitative-analytical methodology is used, including the use of canonical models, laboratory and field experiments and their use of applied case studies. Data analysis is a means of synthesizing the empirical regularities across domains and drawing attention to where the theory has worked and where refinements of behavioral analysis must be made. The paper ends with policy relevant recommendations and directions for research.
subject: Articles
  topic: section
subject: Game theory
  topic: keywords
subject: Nash equilibrium
  topic: keywords
subject: Mechanism design
  topic: keywords
subject: Public goods
  topic: keywords
subject: Bargaining
  topic: keywords
subject: Evolutionary game theory
  topic: keywords
subject: Social networks
  topic: keywords
subject: Experimental economics
  topic: keywords
creator: Muhammad Muzammil Asghar
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-04-21
publication date: 2025-04-21
starting page: 01
ending page: 09

Data Science Techniques for Cybersecurity Threat Detection
type: item
description: Due to the explosive development of digital technologies and the Internet of Things (IoT), there has been an enormous influx of data, and the number of advanced cyber threats has also increased. Conventional cybersecurity controls are mostly not able to identify sophisticated and dynamic attacks as they happen. This essay will discuss how data science methods, such as, but not limited to, machine learning (ML), deep learning (DL), natural language processing (NLP), and big data analytics, are being used to detect, classify, and prevent cybersecurity threats. The study, based on the review conducted through analytical research, illustrates the beneficial impact of data-driven models on the intrusion detection, malware classification, phishing detection, and anomaly analysis. The combination of predictive analytics and cybersecurity systems can ensure the ability to monitor threats and assess risks in real time and respond automatically. Other issues that are considered in the paper include data imbalance, adversarial attacks, and model explainability. The results indicate that data science can increase the resilience of cybersecurity through the provision of proactive defense measures, which, in the end, will contribute to more secure and smarter digital ecosystems.
subject: Articles
  topic: section
subject: Cybersecurity
  topic: keywords
subject: Data Science
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Intrusion Detection
  topic: keywords
subject: Deep Learning
  topic: keywords
subject: Threat Intelligence
  topic: keywords
subject: Predictive Analytics
  topic: keywords
subject: Big Data
  topic: keywords
creator: Furqan Naseer
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-03-28
publication date: 2025-03-28
starting page: 32
ending page: 38

Simulation Studies on 5G Network Performance
type: item
description: Within a short period of time, wireless communications technologies have developed to the fifth-generation (5G) network, which is offered with ultra-high data rates, great connections among devices, and low latency. Simulation-based research is crucial towards the study and optimization of the 5G performance under diverse deployment conditions to achieve such ambitious goals. The present paper reviews some of the important simulation studies which analyze the performance of 5G networks in terms of throughput, latency, spectrum allocation, and energy consumption. Different simulation models like NS-3, MATLAB and OMNeT++ are considered in terms of their capacity to model the dynamics of physical layer, mobility patterns and strategies of resource allocation. The results have shown that the use of simulation settings can successfully forecast the actual performance and optimize the network prior to the implementation at a large scale. Nevertheless, there are still challenges of computational complexity, model channel precision, and heterogeneous networks integration. The paper finds that simulation studies are essential to create an efficient 5G architecture, test new protocols, and guarantee that future networks can be used to address the needs of new systems like autonomous, IoT, and immersive communication technology.
subject: Articles
  topic: section
subject: Networks
  topic: keywords
subject: 5G Networks
  topic: keywords
subject: simulations
  topic: keywords
subject: Network performance studies
  topic: keywords
subject: throughput
  topic: keywords
subject: latency
  topic: keywords
subject: Network modelling
  topic: keywords
subject: NS-3 MATLAB omenet++
  topic: keywords
subject: wireless communication
  topic: keywords
creator: Syed Sarim Ali
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-03-18
publication date: 2025-03-18
starting page: 24
ending page: 31

AI-Powered Industrial Automation: Trends and Challenges
type: item
description: The introduction of Artificial Intelligence (AI) has greatly changed the nature of automation in industries making manufacturing processes smarter, efficient, and adapting. Industrial automation using AI makes use of machine learning (ML), deep learning (DL), computer vision and predictive analytics to streamline the production process, cut down on operational expenses, increase safety and quality. In this paper, we are going to take a look at the modern trends and uses and issues which are related to the integration of AI into industrial automation systems. Among the most important tendencies, there are autonomous robotics, predictive maintenance, AI-based quality control, and real-time process optimization. Another issue that the study recognizes potentially impacting the successful implementation of AI technologies is the issue of data security, system interoperability, workforce adaptation, and algorithm transparency. The results indicate that, although AI adoption can be highly beneficial in terms of productivity, efficiency, and decision-making, one should pay extra attention to the issue of data governance, human-machine cooperation, and the regulatory framework to implement AI sustainably.
subject: Articles
  topic: section
subject: Machine Learning
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Smart Manufacturing
  topic: keywords
subject: Industrial Robotics
  topic: keywords
subject: Predictive Maintenance
  topic: keywords
subject: Industries
  topic: keywords
subject: Industrial Automation
  topic: keywords
creator: Muhammad Amir
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-03-14
publication date: 2025-03-14
starting page: 17
ending page: 23

Smart Healthcare Systems Using Wearable Devices: A Review
type: item
description: Wearable technology is changing the way healthcare is provided because it promotes real-time and constant monitoring of physiological parameters beyond the hospital. Remote patient monitoring, chronic disease management, preventive care and personalized wellness Smart healthcare systems based on wearables and Internet of Things (IoT) connectivity, cloud analytics and artificial intelligence (AI), are increasingly popular. This review analyzes the existing environment of wearable device-based smart healthcare systems, presents the device architecture, data collection and analytics algorithms, clinical environment, advantages and disadvantages. The main opportunities are better patient outcomes, lower healthcare expenses and increased patient engagement whereas the main challenges remain associated with the sensor accuracy, data privacy, interoperability, power independence and clinical validation. The recent research is condensed to find out the next trends, including federated learning of wearable data, energy-independent sensors and wearable assimilation into the larger medical ecosystems. The results are expected to inform researchers, clinicians and system designers to design and implement wearable based smart healthcare solutions.
subject: Articles
  topic: section
subject: Smart healthcare systems
  topic: keywords
subject: Wearables and Internet of Things (IoT) connectivity
  topic: keywords
subject: cloud analytics
  topic: keywords
subject: artificial intelligence
  topic: keywords
creator: Dur-E- Adan
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-02-12
publication date: 2025-02-12
starting page: 09
ending page: 16

3D Printing of Biodegradable Polymers for Biomedical Application
type: item
description: With the development of additive manufacturing and 3D printing in particular, biomedical industry has been transformed to produce personalized, multi-dimensional, and patient-specific parts. Biodegradable polymers among other materials have come in to play as a solution to medical devices, tissue engineering, and drug delivery systems as a sustainable and biocompatable alternative to other materials. This paper discusses the 3D printing technique in the production of bio-based biomedical items in using polymers (polylactic acid, PLA, polycaprolactone, PCL and polyglycolic acid, PGA). It talks about how the polymers can facilitate controlled degradation, mechanical stability and biological compatibility which makes them suitable in the application of bone scaffolds, implants, and wound healing systems. The paper also explores the existing issues such as optimization of the processes, mechanical strength, and sterilization issue, and future opportunities of smart biodegradable materials combined with nanotechnology. The results indicate that the 3D printing of biodegradable polymers cannot only increase the level of precision and sustainability but also is an essential step towards the personalized medicine and regenerative healthcare solutions.
subject: Articles
  topic: section
subject: Additive Manufacturing
  topic: keywords
subject: Biodegradable Polymers
  topic: keywords
subject: Tissue Engineering
  topic: keywords
subject: Biomedical Engineering
  topic: keywords
subject: 3D Printing
  topic: keywords
subject: Polylactic Acid (PLA)
  topic: keywords
subject: Polycaprolactone (PCL)
  topic: keywords
subject: Regenerative Medicine
  topic: keywords
subject: Sustainable Materials
  topic: keywords
subject: Drug Delivery Systems
  topic: keywords
creator: Daniyal Zaheer
rights: Copyright (c) 2025 Journal of Advanced Engineering & Applied Sciences
date: 2025-02-04
publication date: 2025-02-04
starting page: 01
ending page: 08