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31 results for “Social Integration”
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Research ArticleOpen accessEvery word in the titleExtending the Technology Acceptance Model to Account for Social Influence, Trust and Integration for Pervasive Computing Environment: A Case Study in University IndustryFarahwahida Mohd, Faudzi Ahmad, Norsila Samsudin, Suhizaz SudinProblem statement: The aims of this study are to develop ubiquitous computing environment using Bluetooth (UCEB) and measure the validity and reliability on in order to support student admission services in University Industry Selangor (UNISEL). Approach: This study is based on the descriptive survey research using revised Technology Acceptance Model (TAM), known as Pervasive Technology Acceptance Model (PTAM). Results: This … …American Journal of Economics and Business Administration, Vol. 3, Issue 3 · 3 Nov 2011 · 7,888 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSocial Impact as an Intangible Driver in Assessing Economic Value: An Application to the Italian Third SectorCosentino Antonietta, Bongiovanni Laura, Cesari Alberto, Di Stefano CristinaMany studies have focused on Intellectual Capital (IC) applied to the Third Sector in the past few years. Despite the growing interest in intellectual capital in the field, the concept remains unclear. Few scholars and practitioners deal with the subject, however, as far as we know there are no studies that show the relationship between social impact generated by non-profit … …American Journal of Applied Sciences, Vol. 14, Issue 12 · 2 Jan 2018 · 8,632 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTHE INFLUENCE OF THE INTEGRATED MODEL OF SOCIAL STRATIFICATION STRUCTURE ON THE PUBLIC PARTICIPATING NON-PROFIT ORGANIZATIONSYu-Tien Huang, Ming-Shen WangThe main body of social stratification structure in Taiwan is transformed with social mobility. By transforming the social stratification structure, the function of non-profit organizations is operating steadily. How does people’s awareness of social strata directly or indirectly influence the operation of non-profit organizations? How do non-profit organizations and governments respond to the transformation of social stratum compositions? And how … …Journal of Social Sciences, Vol. 9, Issue 4 · 23 Jan 2014 · 7,280 accessesView PDFCite
Research ArticleOpen accessIn the keywordsINVESTIGATION OF SOCIAL BASED COOPERATIVES ON SOCIAL HEALTH OF FEMALE HEADED HOUSEHOLDSHoda FotovvatThis study aims to evaluate the influence of participation in society-based cooperatives on social health of female households, which is an important factor in the life of these women. The statistical society of this research is all female headed households who have visited the Social Services Center of Region 3 of Tehran Municipality since early 2011. The participation of female … …Journal of Social Sciences, Vol. 9, Issue 4 · 9 Jan 2014 · 7,391 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 abstractAnalyzing Public Sentiment on Demonetization Using SVM: A Machine Learning ApproachKaliappan M, Guruprakash B, Rajalakshmi et al.The Indian economy experienced significant disruption following the implementation of demonetization, a policy initiative aimed at eliminating black money, controlling inflation, and promoting financial inclusion. However, this currency ban generated widespread debate and polarized public opinion. This study analyzes public sentiment toward demonetization using social media data, specifically Twitter posts characterized by mixed sentiments, sarcasm, and nuanced linguistic expressions. We … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 2,235 accessesView PDFCite
Research ArticleOpen accessIn the abstractEthioLSocMDMTLM: Exploring Application of Topic Modeling for Building Ethiopian Language Social Media Data-Based Multilingual Transformer Language Models for Multilingual Hateful Content DetectionNaol Bakala Defersha, Kula Kekeba Tune, Solomon Teferra AbateThis study proposes topic modeling techniques to develop Ethiopian Language Social Media Data Based Multilingual Transformer Language Models for multilingual hateful content detection. We modified various multilingual pretrained models, investigated the challenges of using pre-trained transformer language models, and built multilingual hateful content detection models. Topic words with rows of 1561, 70, and 1044 extracted from Afaan Oromo, Tigrigna, and … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 5,204 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock Closing Price Forecasting Using LSTM, Sentiment Analysis, Kalman FilterAssel Abdildayeva, Galymzhan Nurtugan, Guldana Taganova, Ardak AkhmetovaThe article explores the problem of predicting the closing prices of stocks using an innovative approach that combines methods of machine learning, sentiment analysis and noise filtering. The focus is on the development and testing of a comprehensive model that integrates recurrent neural networks (LSTM) for time series analysis, the GPT-3 language model for processing and analyzing textual data from … …Journal of Computer Science, Vol. 20, Issue 11 · 4 Sep 2024 · 6,262 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Context Aware Deep Learning Framework for Multi-Level Arabic Fake News Detection Using Hybrid Linguistic RepresentationsNoor Mahmoud Alkudah, Somia Abufakher, Raja Masadeh et al.The rapid spread of false information on social media has made it even more important to be able to spot false news, especially in Arabic-speaking areas where language is more complicated and news is organized in a hierarchy. Recent research show that deep learning and transformer-based models work well, but most of them only look at performance metrics and don't … …Journal of Computer Science, Vol. 22, Issue 3 · 27 Mar 2026 · 1,566 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future DirectionsSularno, Wendi Boy, Putri Anggraini et al.The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have emerged as a powerful deep-learning paradigm for modeling spatial and relational data, offering distinct advantages for disaster management. This study presents a Systematic Literature Review (SLR) of GNN-based approaches for disaster mitigation, emergency response, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,036 accessesView PDFCite