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97 articles for “community networks”
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Technological Innovations in Monitoring and Encouraging Activities to Improve Social Support
Abstract: This study investigates the role of artificial intelligence (AI) as a co‑evaluator in physical education assessment, focusing on its reliability, validity, and potential to strengthen social support systems in higher education sport science. Drawing on recent scholarship that highlights both the promise and limitations of AI in educational contexts the research addresses a critical gap, while technology has been widely applied to individual performance monitoring, less attention has been given …
Published in Recent Trends in Sports · Vol. 3, Issue 2, 2026 · pp. 14–21 Read article
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Transition Mechanisms from IPv4 to IPv6 Addresses
Abstract: The introduction of IPv6 has opened up many questions with reference to its conversion and transition from IPv4 to IPv6 and is one of the critical problems being commonly discussed in networking community nowadays. IPv6 produces many seamless characteristics that make it far better protocol as compared to its previous IPv4. It is a common fact that IPv4 is a really a standard at present and is currently been placed …
Published in Journal of Web Engineering & Technology · Vol. 3, Issue 2, 2016 · pp. 21–27 Read article
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Overview of Various Dynamic Community Evolution Detection Approaches
Abstract: Social network in a simplest form is a social structure consisting of units that are connected by various kinds of relations like friendship, common interest, financial exchange, dislike, knowledge or prestige. This can be represented by a combination of graph theory and data mining concepts. The easiest way to present social network in a mathematical way is graph representation where members are nodes of the graph and relations are edges …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 3, Issue 1, 2015 · pp. 28–32 Read article
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Hybrid Approach for Community Detection Using Deep Learning Techniques
Abstract: Community detection in complex networks is a fundamental problem with applications across diverse domains, ranging from social networks to biological systems and beyond. Traditional methods based on graph theory have been widely used for identifying communities within networks. However, the intricate and evolving nature of modern networks demands more sophisticated approaches. This research work proposes a hybrid approach that combines the strengths of deep learning techniques with traditional community detection …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 18–26 Read article
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From Rural to Urban: Understanding Taobao Villages to Redress Planetary Urbanisation
Abstract: This study examines Taobao Villages as an innovative model of urbanisation under China’s planetary urbanisation framework. These rural communities, driven by the rise of e-commerce and digital infrastructure, have successfully integrated into the broader urban ecosystem by reconfiguring their historical socio-spatial legacies. Through Lefebvre’s spatial triad framework, the research identifies three key historical legacies that underpin this transformation: (1) Collective Production Practices: Rooted in socialist collectivisation, these legacies include organisational …
Published in International Journal of Urban Design and Development · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article
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Analysis of Various Tools of Natural Language Processing Based on Developers Perspective
Abstract: The subject of natural language method has visible mind-blowing development in current years, with neural network community substitution numerous of the traditional structures. A subset of artificial intelligence known as “natural language processing”, or NLP, analyses, comprehends, and generates natural human languages so that computers can reuse written and spoken human language without resorting to computer-generated language. Semantics and syntax are used in natural language processing, which is sometimes referred …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 2, 2022 · pp. 1–5 Read article
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Intrinsic Evaluation of Graph Embeddings: Assessing Clustering and Community Detection Performance
Abstract: This paper presents an intrinsic evaluation of some graph embedding techniques on clustering and community detection tasks. We analyze a diverse set of embedding methods, ranging from traditional techniques such as Laplacian eigenmaps to more recent approaches like graph autoencoders, high-order proximity preserved embedding (HOPE), and graph attention network (GAT), using two widely studied datasets, Cora and CiteSeer. Our evaluation relies on two main metrics: Silhouette score with respect to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 40–48 Read article
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Awareness and Utilization of Social Networking Sites (SNS) Among Faculty of K. S. Rangasamy College of Technology in Tiruchengode: A Study
Abstract: The advancement of technology has shrunk the world into a global village. Though geographical barriers of the nation’s exist in reality but communication has made these barriers fade away. The information is passed in such a speed that by the touch of the button; an individual is able to access an ocean of information. Thanks to internet for making this magic. The same internet has created a society unto itself …
Published in Current Trends in Information Technology · Vol. 4, Issue 2, 2014 · pp. 4–10 Read article
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New Age of Digitalization and Social Media in 21st Century Libraries
Abstract: Today when we observe our generation mood we find out everywhere digitalization and new technologies are adopted by every field like private, government and other sectors. Our government and other private limited sectors are also stared to use the big sensed data to improve people`s welfare for example smart citied projects or digitalized libraries demand in India. But in other side IT sector is challenged by the different variety and …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 1, 2015 · pp. 27–31 Read article
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Psychological Determinants of Farmers’ Adoption of Sustainable Practices: A Behavioural Approach to Agricultural Extension
Abstract: Sustainable agriculture has emerged as a global priority to balance productivity with environmental conservation. Yet, adoption of sustainable practices by farmers remains uneven, shaped not only by economic incentives but by underlying psychological and behavioural factors. This review explores the psychological determinants influencing farmers’ willingness to adopt sustainable agricultural practices across traditional and modern contexts. Drawing upon behavioural theories such as the Theory of Planned Behaviour and the Diffusion of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 101–109 Read article
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Sign Language and Face Expression Recognition Using Neural Networks: Deep Learning Approach to Break Communication Barriers
Abstract: Our study proposes a multimodal gesture recognition system specifically designed to aid communication for the deaf community. By employing neural network concepts, we utilize 3D convolutional neural networks (3D CNNs) to extract features from both hand and face images, focusing on relevant regions. Preprocessing techniques are applied to isolate these areas of interest prior to feature extraction. Unique 3D CNN architectures are then trained for each modality to capture the …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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The Future of Open Streets, New York City
Abstract: The COVID-19 pandemic necessitated rapid adjustments to New York City public spaces, leading to the implementation of the Open Streets program by the NYC Department of Transportation (DOT). This program transformed streets across the city into pedestrian- friendly zones by limiting vehicular traffic and providing much-needed outdoor space for residents to walk, bike, and socialize safely. While successful in some areas, the program faced significant challenges. These included equity issues, …
Published in International Journal of Urban Design and Development · Vol. 2, Issue 2, 2024 · pp. 16–31 Read article
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A Review on Sybil Attack in Wireless Sensor Network Using Different
Abstract: Disseminated networks, not including trusted identities are predominantly susceptible to sybil attacks, where an opponent generates numerous bogus identities to the operation of weakened network. Here, we reward sybil defender, a sybil security scheme that impacts the network topologies to look after towards sybil attack in social communities. Taking into account performing a restricted amount of random walks within the social graphs, sybil defender is proficient and versatile to huge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 3, Issue 2, 2016 · pp. 11–16 Read article
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Real-Time Gesture Recognition with Convolutional Neural Networks
Abstract: Sign language detection plays a pivotal role in bridging communication barriers for the deaf and hard of hearing community. An extensive investigation on the use of convolutional neural networks (CNNs) for sign language recognition is presented in this article. Leveraging the power of deep learning, our research aims to develop an accurate and efficient system capable of recognizing and classifying sign language gestures in real-time. The report begins with an …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 12–18 Read article
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The Customized ZigBee Stack: Mathematical Modelling
Abstract: Abstract There are different protocols for realising WPAN. ZigBee protocol supports high node density, long range and robust communication and hence chosen for experimenting in WPAN. ZigBee protocol may not be adequate to bring all the consumer electronic devices under WPAN and control them as the devices may use different protocols. ZigBee stack is taken as base, it is modified to incorporate the features of common communication protocol so as …
Published in Recent Trends in Electronics Communication Systems · Vol. 3, Issue 3, 2016 · pp. 7–14 Read article
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Local Markets, Global Flavors: Your Personalized Grocery Experience
Abstract: “Local Markets, Global Flavors” transforms the grocery shopping experience by linking customers directly with local markets and artisans. In contrast to standard grocery shopping, which can feel impersonal and lacks variety, this project delivers a shopping journey tailored to the unique flavours of each city. Through partnerships, “Local Markets, Global Flavors” aims to bring fresh, authentic products right to consumers' doorsteps. It offers based on dietary preferences and shopping history, …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 1, 2025 · pp. 08–13 Read article
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Harvestify: ML Based Tool for Home Gardening and Farming
Abstract: This study presents a cutting-edge application that will transform home gardening and agriculture practices using machine learning (ML) approaches. The main goal is to provide data-driven insights to home gardeners and farmers, enabling them to implement efficient and sustainable farming practices. Crop disease detection, fertiliser recommendation, and a community section for user engagement comprise the three main elements that make up the system's architecture. The Crop Disease Detection module analyses …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 18–28 Read article
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Marine Microbial Ecology: A Comprehensive Review of Interactions, Symbiosis, and Bioprospecting.
Abstract: Marine microorganisms constitute the largest and most dynamic fraction of Earth's biodiversity, governing vital ecosystem functions ranging from global biogeochemical cycling to host-specific symbiotic associations. This review provides a comprehensive synthesis of the complex interaction networks within marine microbial communities. We first explore the theoretical foundations of microbial niche construction and evolutionary dynamics in the ocean. Subsequent sections dissect micro-scale interactions within the phycosphere, where chemical gradients dictate cross-kingdom mutualisms …
Published in International Journal of Marine Life · Vol. 3, Issue 1, 2026 · pp. 6–16 Read article
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Protection System Design for Power Distribution System in the Presence of Distributed Generation
Abstract: Investigation was carried out on transformer and bus-bar protection of feeder 1,3,4&6 networks of specially two selected Communities in Egi clan of Ogba Kingdom of Ogba/Egbema/Ndoni Local Government Area of Rivers State such as obagi and oboburu communities respectively. Addressing the three aspects in the design of protection system by determining protection device locations, determining protection device settings, coordination and also mathematical modeling of protective device using MATLAB software for …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 2, 2021 · pp. 1–16 Read article
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Effectiveness of Private Sector Intervention in Micro-Credit Delivery in Delta State of Nigeria: A Case Study of the Shell Petroleum Development Company
Abstract: AbstractConsidering the relevance of microcredit to the economic growth of the farmer and the development of the rural communities, the effectiveness of NGO’s implementing strategy of the Shell petroleum development company’s (SPDCs) micro-credit scheme was assessed in the study. It was aimed at reducing the poverty level of the small-scale farmers in Delta state, Nigeria. A random sample of 519 respondents and 10 NGOs involved in the implementation of the …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 5, Issue 2, 2016 · pp. 27–40 Read article