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367 articles for “networking architecture”
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Importance of Network Architecture: An Overview
Abstract: Network architecture is the design of a communications network. It includes the physical and logical layout of the network, the framework of accepted standards and specifications of elements, equipment, services, protocols and functions, growth and change assumptions, and high-level operational principles and procedures. Modern networks encompass a variety of architectural and design principles, which must be understood and articulated by a network organization in order to maintain best practices. Standardized …
Published in Journal of Open Source Developments · Vol. 9, Issue 2, 2022 · pp. 34–38 Read article
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Future Now: Network Architecture of 6G
Abstract: 5G networks are currently being rolled out in various parts of the globe and are expected to be done as the decade ends. However, with the continuously increasing demand for bandwidth and the need for automation, even the most advanced network architecture is expected to reach its capacity limit by 2030. The emergence of wireless technologies has led to the introduction of new infrastructure elements like High-Speed Packet Access (HSPA) …
Published in Current Trends in Signal Processing · Vol. 13, Issue 2, 2023 · pp. 18–23 Read article
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A Survey on Cognitive Radio Ad Hoc Network Architecture
Abstract: Cognitive radio ad hoc networks (CRAHNs) represent an innovative paradigm in wireless communication, leveraging the dynamic spectrum access capabilities of cognitive radios (CRs) to enhance network performance and spectrum efficiency. The architecture of CRAHNs integrates cognitive radio capabilities with ad hoc networking principles, enabling devices to manage spectrum resources autonomously and intelligently in a decentralized manner. This abstract outlines the key components and functionalities of CRAHN architecture, highlighting its potential …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 1–7 Read article
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Polymer Chemistry and Nanocomposite Network Design of PEGDA-Based Hydrogels
Abstract: The chemical structure and crosslinking density of polyethylene glycol diacrylate (PEGDA) can be systematically tailored, making it a versatile polymeric network in biomedical engineering, drug delivery, tissue engineering, biosensing and advanced manufacturing. PEGDA is a polymerizable acrylate-functionalized hydrophilic PEG that can be polymerized to make three-dimensional networks via free-radical polymerization, specifically photoinitiated. The resulting network architecture depends on the PEGDA molecular weight, the concentration of precursors, the polymerization conditions, the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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High-range Wireless Networking Technologies: A Survey
Abstract: Growing demand for high speed data access at anytime, anywhere and on any device necessitates a new direction in the design of Next Generation Wireless Networks (NGWNs) which provide high bandwidth and ubiquitous coverage. Nowadays different wireless technologies have multitude ways of service to provide maximum users satisfaction to send and receive data in high range applications. UMTS and WiMAX are the common licensed technologies which are being widely used …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 1, Issue 2, 2014 · pp. 9–17 Read article
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A Dual-Model Deep Learning Framework for Early Alzheimer’s Detection Using Clinical Data and Neuroimaging with Architectural Performance Analysis
Abstract: Alzheimer’s disease (AD) poses a significant global health challenge due to its increasing prevalence and the absence of definitive cures. Early diagnosis is crucial for effective intervention and management. This study presents a dual-model deep learning framework for the early detection and classification of AD using both structured clinical data and neuroimaging datasets. Model 1 utilizes a greedy layer-wise autoencoder approach applied to structured data, achieving optimal binary classification accuracy …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 1–12 Read article
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Automatic Lightning and Control System
Abstract: This study describes the design and execution of a novel Automatic Lightning and Control System, which turns on and off electrical devices, including lighting circuits, automatically when people are present and off when they are not. Improving the electrical system's dependability and efficiency is the system's goal. Most universities squander a large amount of electrical energy turning on and off fans, computers, and other devices. This system is designed to …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 3, 2024 Read article
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Comparative Analysis of Data Augmentation Techniques in CNN-based Classification of Atelectasis
Abstract: This research delves into the critical issue of atelectasis, its causes, and potential complications if left untreated. Leveraging deep learning algorithms, particularly convolutional neural networks (CNN), the paper explores their application in medical image analysis, focusing on the detection of atelectasis using the “chestX-ray8” database. The study compares various data augmentation techniques for improved accuracy, showcasing the importance of augmentation in enhancing model generalization. Through meticulous experimentation and evaluation, the …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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Pneumonia Detection and Classification Using Deep Learning
Abstract: Pneumonia, an infectious lung disease primarily caused by bacteria, often exacerbated by environmental factors, leads to the accumulation of pus in the lung’s alveoli. Accurate diagnosis through chest X-rays, ultrasounds, or lung biopsies is crucial to avoid misdiagnosis and ensure proper treatment, crucial for patients’ quality of life. Diagnostic capacities have been greatly improved by deep learning advances, especially with convolutional neural networks (CNNs). This research presents a robust CNN-based …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 9–19 Read article
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Survey on Short-range Wireless Networking Technologies
Abstract: Short-range wireless technologies are being widely used in lot many applications such as communications, entertainment, medical and battle fields etc. For short-range communications, networks have been standardized by IEEE 802.11 WLANs and IEEE 802.15 WPANs with low power consumption. This paper surveys these networking technologies and compares them.
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 1, Issue 3, 2014 · pp. 1–12 Read article
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Convolutional Neural Network and its Architectures
Abstract: Convolutional neural network (CNN) is a type of artificial neural network (ANN) with multiple layers. From the past decades, it has been considered as a powerful classification technique as it can handle a huge amount of imagery data. It can be applied in the field of image recognition. The name CNN has been derived from the mathematical linear operation known as convolution which is performed between two matrices. CNN has …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 2, 2021 · pp. 6–14 Read article
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Analysis Of Gradient Descent In Back Propagation Neural Network For Maximum And Efficient Utilization
Abstract: The back-propagation is a successfully established algorithm for multi-layered perceptron neural networks, which is usuallywith successfully for tiny network architectures or small tasks. In this paper we have highlighted the important libraries for thepurpose of implementation of neural networks. After that we have given the process of feed forward in neural network and howwe optimize this process by updating the weights by going backward towards the previous layers. The Author …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 1, 2022 · pp. 21–30 Read article
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A Reliable Routing Architecture and Algorithm for Network-on-Chip
Abstract: The Network-on-Chip (NoC) is Network-version of System-on-Chip (SoC) means that on-chip communication through packet based networks. In NOC topology, routing algorithm and switching are main terminology. The routing algorithm is one of the key factors in NoC architecture. The routing algorithm which defines as the path taken by a packet between the source and the destination. The paper proposes a novel algorithm for a Network-on-Chip, which is based on packet …
Published in Journal of Electronic Design Technology · Vol. 6, Issue 3, 2015 · pp. 40–48 Read article
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Security of Software Defined Network
Abstract: Software Defined Networking (SDN) might be a particular methodology that allows the system to be brilliantly and midway controlled, or 'modified,' utilizing programming applications. Software Defined networks technology can help to run on-demand applications for satisfying today’s business needs that is the reason for its extensive use in mostly data center .Software defined network, i.e. SDN provides clear view of whole network architecture to the network administrator. It isolates the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 1–5 Read article
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Hybrid approach for emotion detection in text using spatial-temporal features
Abstract: In recent years, the incredible exploratory growth of online data in social media mainly Twitter has to lead to growing attention of researchers towards Affective analysis of social media streams. Around 500 million tweets are generated per day all around the globe. Classification of these tweets into different affective classes is an arduous task. We propose a novel approach of classifying a tweet into Ekman’s six basic emotion classes using …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 1, 2018 · pp. 34–44 Read article
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Privacy and Security Issues in Mobile Social Networking
Abstract: Social network information is now being used in many ways for which it may have not been originally intended. In particular, the increased use of smart phones capable of running applications which access social network information enable applications to be aware of a user’s location and preferences. However, current models for exchange of this information require uses to compromise their privacy and security. Unique security and privacy issues exist in …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 2, 2015 · pp. 18–34 Read article
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Decentralized Mesh Networking
Abstract: This study delves into the intricacies of decentralized mesh networking, with a specific focus on its implementation within a chat application utilizing WebSocket communication. Departing from the conventional star topology often associated with mesh networks, our approach establishes a decentralized network architecture where ESP32 devices communicate through a central router. Each ESP32 device hosts a WebSocket program, enabling seamless communication among connected devices via a web interface. Our research assesses …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article
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Intelligent Paradigms in Subsea Connectivity: A Comprehensive Review of Artificial Intelligence in Underwater Communications
Abstract: Underwater wireless communication (UWC) plays a critical role in ocean exploration, environmental monitoring, offshore energy operations, disaster management, and naval defense. However, the underwater environment presents significant communication challenges, including severe signal attenuation, multipath propagation, Doppler effects, limited bandwidth, high latency, and energy constraints. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) have emerged as promising solutions to address these limitations and enhance the efficiency, reliability, and adaptability …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Applications of Artificial Neural Network in Construction Engineering and Management: An Academic Literature Review and Direction for Future Research
Abstract: One of the artificial intelligence topics is artificial neural network in whichdata processing system is the idea of the human brain.The cause of processing data is many processorsthat treat in parallel form in order to solve the problem.The applications of artificial neural network with neuron model and different network architecture can be used to estimate, predict and modelling of complex problems in construction management. In order to bridge the gap …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 1, 2016 · pp. 24–38 Read article
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Approach to Wireless LTE* 4G Communication
Abstract: The modern communication system is aimed to reach the real world one environment from virtual worldvia connecting resources of one with another through social network system. The communication processis aggravated various infrastructural Developments to reach in this current level such as 3Gand4G communication system.The user expectation also increased to meet their personal and social applications. Theusers are try to integrate the personal and social network technology with real time operations …
Published in E-Commerce for Future & Trends · Vol. 2, Issue 3, 2015 · pp. 14–19 Read article