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484 articles for “Computer Networking”
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Background Service QoS in Integrated UMTS-HSDPA and WLAN Ad Hoc Networks with Various Inter-Domain Routing Protocols
Abstract: AbstractThe Next Generation Network (NGN) allows the service providers to extend the coverage and capacity of existing network towards rural and hot spots area with large variety of services. Integrated UMTS-HSDPA and WLAN Ad Hoc Networks is most eligible NGN’s under this category. The integrated network offers a large variety of services e.g. conversational, streaming, interactive, and background class. This paper focuses on asymmetric best-effort service belonging to the background …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 31–59 Read article
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State of the Art: A Pandemic Big HealthCare Analytics Solution: Image Data Classification Using Quantum MAML
Abstract: The modern age is facing many pandemic healthcare problems, e.g., covid 19, infections, inflammations, and many more, leading to critical, deadly situations. Survival rate can be increased with proper diagnosis of such data. We have proposed one of the implementations based on a medical image dataset for classification using deep reinforcement learning (RL) with quantum computing. Deep RL is the combination of DL (deep learning), generative adversarial network (GAN), and …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 1–9 Read article
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A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 19–28 Read article
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Importance of Firewalls in the Security of Network
Abstract: Cyber security is crucial in the realm of information technology. In the current context, data security has grown to be a major concern. When it comes to cybersecurity, the word which springs to mind is “cybercrime”, which occurs in large numbers on a regular basis. To tackle cybercrime, several governments and organizations are employing a range of tactics. Many individuals are still concerned about cybersecurity, despite several measures. This research …
Published in Journal Of Network security · Vol. 10, Issue 2, 2022 · pp. 19–23 Read article
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Offloading Computation to the Cloud
Abstract: Mobile devices are increasingly relied upon for complex and resource-intensive applications such as real-time video processing, augmented reality, and machine learning. However, their limited computational power, storage capacity, and battery life pose significant challenges. Computation offloading to the cloud has emerged as a promising solution to overcome these limitations by transferring demanding tasks from mobile devices to remote cloud servers. This approach enables improved performance, reduced energy consumption, and enhanced …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 27–37 Read article
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Computational Intelligence and Neuro-Fuzzy Modelling of Polymer Composites: A Critical Review of Performance Prediction and Optimization
Abstract: The increased variety in polymer matrices, reinforcements, fillers, and processing parameters has led to the need to better understand the structure-property, process-property relationships in order to accurately predict and optimize the performance of polymer composites. This paper reviews the applications of computational intelligence methods in polymer composites, with special focus on artificial neural networks, adaptive neuro-fuzzy inference systems, machine learning techniques, and hybrid optimization. The literature is analyzed based on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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The Role and Functions of Computer Engineers
Abstract: Computer engineers play a crucial role in shaping the ever-evolving technological landscape by designing, developing, and optimizing computer systems and software. Their expertise spans various domains, including hardware design, embedded systems, software development, cybersecurity, and network architecture. These professionals contribute significantly to advancements across multiple industries, from healthcare and finance to telecommunications and artificial intelligence. This article delves into the diverse responsibilities of computer engineers, highlighting their involvement in problem-solving, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 37–51 Read article
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Next-generation Operating Systems: AI-driven Autonomy, Quantum Integration, and Edge Computing
Abstract: The rapid evolution of computing paradigms is driving the need for next-generation operating systems that seamlessly integrate artificial intelligence, quantum computing, and edge processing. Traditional operating systems, while efficient for classical computation, lack the necessary capabilities to handle real-time AI-driven decision-making, quantum processing, and decentralized edge networks. This study explores how future operating systems will incorporate AI-driven autonomy to enhance resource management, quantum integration to leverage superior computational power, and …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
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Secure Coding Practices for Enhancing the Art of Ethical Hacking: A Comprehensive Study
Abstract: In the quickly developing scene of network safety, secure coding, and moral hacking are essential for strengthening computerized environments. Secure coding systems and moral hacking are linked to digital strength. This study examines the relationship between secure coding and moral hacking, emphasizing the importance of a hierarchical culture that focuses on secure coding standards. Attention to detail in software development can protect against malicious exploits. Security considerations are integrated throughout …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 1, 2024 · pp. 21–29 Read article
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Study of an Improved Quantum Particle Swarm Optimization-Based Framework for Neural Network Optimization in Modelling of Polymer Data
Abstract: The accurate forecasting of polymer viscosity at various physicochemical conditions has been quite critical due to the nonlinear interactions and interrelations between the variables. This paper suggests a better hybrid modelling framework, which involves the use of Artificial Neural Networks (ANN) and more advanced versions of Quantum Particle Swarm Optimization (QPSO) to better predict polymer viscosity. The input parameters taken are, namely, log (shear rate), polymer concentration, NaCl concentration, Ca …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 282–297 Read article
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Driver Alertness Detection Using Data Correlation
Abstract: AbstractThe number of accidents taking place across the globe is increasing at a fast pace and it's astonishing that around 20% accidents occur due to driver’s fatigue or due to lack of alertness. Non-alertness reduces reaction time and concentration, impairing the ability to execute decision making as well as attention-based activities. Being an aware and responsible citizen, it becomes essential to assure the driver’s vigilance and safety of passengers, co-passengers. …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 2, 2019 · pp. 6–15 Read article
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Significant Advances in Cloud Computing in Information and Communications Technology
Abstract: The critical advances in information and communications technology (ICT) over the last half-century have led to the increasingly common vision that computing will one day become the 5th utility. This computing utility will provide the essential level of computing service considered basic to meet the everyday needs of the general public. To convey this vision, a number of computing models have been proposed, with the most recent being cloud computing. …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 3, 2024 · pp. 33–38 Read article
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Incremental Partial Update Strategies Over Distributed Networks
Abstract: This paper presents a partial update adaptive strategies based on incremental techniques. The proposed strategies apply to the problem of linear estimation with less number of computations in a cooperative manner. A partial update technique for updating the LMS filter coefficient is an effective method for reduced computational load and power consumption in adaptive filter implementation. It is promising approach to reducing complexity, potential to improve performance while permits complexity …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 1–8 Read article
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An Abnormal Expression Detection System (AEDS) Using Deep Learning Algorithms
Abstract: In the last decade, many deep learning algorithms have achieved remarkable success and gained popularity in various computer vision tasks, including object detection, image recognition, and segmentation. This AEDS (Abnormal Expression Detection System)leverages the power of deep learning algorithms to detect abnormal facial expressions in real-time automatically. AEDS proposed two important models; those are Deep CNN and RNN. CNN is responsible for learning discriminative features from facial images and capturing …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 72–79 Read article
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Machine Learning-Based Task Scheduling and Resource Optimization in Edge-IoT Systems
Abstract: The rapid expansion of Internet of Things (IoT) applications has introduced significant challenges in managing computational workloads across distributed edge environments. Edge- IoT systems are characterized by limited computational capacity, dynamic task arrivals, and strict latency constraints. Traditional heuristic-based scheduling techniques often fail to adapt to fluctuating workloads and heterogeneous resource availability. This study proposes a machine learning-based task scheduling and resource optimization framework for Edge-IoT systems. The proposed model …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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A Comprehensive Analysis of Machine Learning Models for Credit Card Fraud Detection
Abstract: This paper presents an indepth comparison of various machine learning models—Logistic Regression, Support Vector Classification (SVC), and Neural Networks (NN)—in the context of credit card fraud detection. The analysis spans multiple performance metrics, including accuracy, F1 score, precision, recall, and computational efficiency. Logistic Regression demonstrates competitive performance in terms of accuracy, but its poor precision renders it unsuitable for fraud detection tasks. Conversely, the Neural Network exhibits balanced precision and …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
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Parallel and Concurrent Computing with Shell Commands: Exploring CPU Architecture, LAN Interconnection and Command Languages for Green Sustainability
Abstract: Parallel and concurrent computing are essential ways of thinking in the digital age, where the cost indexes are efficiency, speed and sustainability. By far performance relevance of each metaphor Contemporary computational environments covering everything from dumb terminals to distributed workstations and intelligent network systems such as the command-line interface (CLI) can never do well on its performance when throughput is needed most the era's fact that there is no hitting …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 3, 2025 Read article
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MANET Communication in Embedded Devices through Adjoined Heterogeneous Protocols for Defence Application
Abstract: In this paper, we present a packet management technique for establishing communication by conjoining heterogeneous protocols in MANET that are implemented using Scilab tool in several embedded devices. The module presented here for packet management functions is NARVAL in Scilab. As any network has loads of packets, packet management techniques are necessary for handling the packets in the flow, at the source and also at the destination. The outcome of …
Published in Journal of Microcontroller Engineering and Applications · Vol. 4, Issue 2, 2017 · pp. 1–6 Read article
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IOT Based design and implementation of home automation using Blynk application.
Abstract: The increasing advancement in communications technology has sparked significant interest in home automation systems. It concentrates on the evolution of an IOT-based prototype home automation system which is capable of remotely controlling various household components with the help of the internet anytime and anywhere, as well as being programmable to operate based on ambient conditions. This paper represents prototype design implementation and performance testing of Home Automation System of low …
Published in Journal of Microcontroller Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 16–22 Read article