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Research ArticleOpen accessIn the keywordsOptimized Energy Efficient Virtual Machine Placement Algorithm and Techniques for Cloud Data CentersSanjay Patel, Ramji M. MakwanaCloud computing is an internet based computing technology that provide on demand computing for end users. Normally, data centers allocation for application on statically based. But today so many data centers have a problem how to reduce energy consumption? Due to increase use of cloud services and infrastructure by various cloud providers, uses of energy day by day increase that's … …Journal of Computer Science, Vol. 12, Issue 9 · 24 Nov 2016 · 7,356 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Public User's Role in Breast Self-Examination Teleconsultation System Development: Modified User-Created Content ApproachNorayu A. Talib, Nasriah Zakaria, Sureswaran Ramadass, Faten DamanhooriProblem statement: Teleconsultation services had been introduced in Malaysia for almost 10 years yet it has not been optimally adopted even though it was found that teleconsultation in Malaysia is cost saving, efficient in allocating resources, enhances diagnostic options and better health outcomes. At present, the underutilized service is due to its failure to satisfy the user’s demands on various … …Journal of Computer Science, Vol. 7, Issue 8 · 16 Jul 2011 · 6,384 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Social Media Face Emotion Recognition Using a Fuzzy ELM ApproachShuchi Gupta, K. Viswanath, S. Gokul Pran et al.Our computational tools for searching, exploring, and sharing personal photographs are falling behind the rapid pace at which these images are being captured digitally. The use of automatic face recognition to categorize images according to the people in them is one potential solution. Accurate recognition on the Internet scale, however, presents the seemingly insurmountable challenge of picking out specific people … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,978 accessesView PDFCite
Research ArticleOpen accessIn the abstractLatent Feature-Based Trust-Aware Model for Service Delegation in Social Internet of Things (SIoT)Rahul, Venkatesh, Satish B BasapurThe integration of social networking concepts into the Internet of Things (IoT) paradigm has given rise to Social IoT (SIoT) ecosystems, aiming to address challenges related to network navigation, service discovery, and service composition. A fundamental issue in SIoT is the careful selection of trustworthy devices that provide services. A service provider can offer multiple and diverse services, and different … …Journal of Computer Science, Vol. 21, Issue 12 · 9 Jan 2026 · 1,802 accessesView PDFCite
Research ArticleOpen accessIn the abstractSocial Isolation and Suicidal Ideation Among University Students in Enugu State, Nigeria: A Qualitative PerspectiveCollins Chukwunonso EzeaUniversity students face growing mental health challenges, yet social isolation as a contributor to suicidal ideation remains understudied in Nigeria, particularly from the perspectives of students themselves. Understanding how isolation influences suicidal thinking is essential for designing context-sensitive interventions within Nigerian higher education environments. Despite a global rise in suicide among young adults, existing literature remains largely Western-centric, offering limited … …Journal of Social Sciences, Vol. 21, Issue 1 · 23 Dec 2025 · 3,430 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Multidimensional Framework for Understanding Internet Information Behavior: Influencing Factors and Progression in the Digital AgeJinyan Liao, Sameer Kumar, Fumitaka FuruokaThis study explores the multidimensional characteristics and influencing factors of Internet information behavior and constructs a theoretical framework to explain user behaviors in information acquisition, dissemination, and sharing. The paper defined the core concepts of Internet information behavior and examined its evolution in the digital era. It categorized information acquisition behaviors based on processing methods, emphasizing the roles of search … …Journal of Social Sciences, Vol. 21, Issue 1 · 9 Jun 2025 · 6,412 accessesView PDFCite
Review ArticleOpen accessIn the abstractSocial Media Usage and its Implications on Mental Health a ReviewPuneet Kaur, Deepika Chaudhary, Jaiteg SinghWith more homes, businesses, and people having access to the Internet recently, the usage of social media and social networking websites has expanded significantly. Multiple social media platforms are available and more people from the public, companies, non-profits, and other groups are utilizing them. Therefore, online engagement is now a common aspect of daily life for a population of billions … …Journal of Computer Science, Vol. 21, Issue 2 · 21 Jan 2025 · 8,106 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comprehensive Survey on Fake News Detection Using Machine LearningShraddha Shah, Sachin PatelIn the age of information data surplus and social media impact, the propagation of fake news has developed a significant societal concern. This challenge requires robust tools and methodologies for addressing, with machine learning emerging as a promising approach. The paper reviews different machine learning techniques in fake news detection, including supervised, unsupervised and semi-supervised methods. Supervised methods utilize labelled … …Journal of Computer Science, Vol. 21, Issue 4 · 20 Mar 2025 · 9,212 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Intelligence and Mathematical Modelling-Based Techniques to Improve Social Media MarketingKiran Chaudhary, Mohammad Naquibur Rahman, Nabeela Hasan et al.The Businessperson is using social media to do marketing of their product. Almost all people use social media. Most people relate to social media. Social media marketing is beneficial in making the product more popular and easy ways to introduce the product to everyone in economical ways. In this study, we introduce the concept of machine learning and mathematical models … …Journal of Computer Science, Vol. 21, Issue 1 · 5 Dec 2024 · 5,478 accessesView PDFCite
Research ArticleOpen accessIn the abstractPersonalized Recommendation System: Web of Things Using Modular Density-Based Community DiscoveryVinod Patidar, Jayashree A. Patil, Sonika Thapak et al.Community discovery is the cornerstone and core of study in customized recommendation, assembling group features and social network analysis on the web of things. Conventional community discovery methods, however, struggle with difficulties including low accuracy, delayed convergence, modularity resolution limits and more when dealing with more complicated social networks. Because of this, differential evolution and module density are included in … …Journal of Computer Science, Vol. 20, Issue 9 · 21 Jun 2024 · 5,628 accessesView PDFCite