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Research ArticleOpen accessIn the abstractArabic Speech Pathology Therapy Computer Aided SystemZ. A. Benselama, M. Guerti, M. A. BencherifThis article concerns a computer aided pathological speech therapy program, based on speech models such as the hidden Markov model and artificial intelligence networks, in order to help persons, suffering from language pathologies, follow a correction learning process, with different interactive feedbacks, aiming to evaluate the degree of evolution of the illness or the therapy. We dealt with the Arabic … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,934 accessesView PDFCite
Research ArticleOpen accessIn the abstractANN Based DSPIC Controller for Reactive Power CompensationR.A. Jayabarathi, N.B. DevarajanIn India with a power shortage of about 10% of installed capacity, the transmission and distribution losses are relatively high. One of the reasons for the large loss is the excessive reactive loads on the primary distribution feeder. With the right amount of reactive power compensation, as system load varies, line losses can be considerably reduced. The application of Artificial … …American Journal of Applied Sciences, Vol. 4, Issue 7 · 31 Jul 2007 · 6,851 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCorrelation Based ADALINE Neural Network for Commodity TradingJ. Chandra, M. Nachamai, Anitha S. PillaiCommodity trading is one of the most popular resources owning to its eminent predictable return on investment to earn money through trading. The trading includes all kinds of commodities like agricultural goods such as wheat, coffee, cocoa etc. and hard products like gold, rubber, crude oils etc.,. The investment decision can be made very easily with the help of the … …Journal of Computer Science, Vol. 11, Issue 7 · 29 Oct 2015 · 7,825 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordASSESSING THE HABITAT SUITABILITY OF TWO DIFFERENT ARTIFICIAL WETLAND HABITATS USING AVIAN COMMUNITY STRUCTURESM. Zakaria, M. N. RajparArtificial wetlands have become highly important habitat for a variety of bird species particularly waterbirds due to loss and degradation of natural wetlands. Avian community structures in two artificial wetland habitats i.e., man-made marsh and lake were investigated to identify the suitability of the habitats for avian species, habitat preference and food resources. Distance sampling point count method detected 35272 … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 24 May 2014 · 7,430 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordVaccine Misinformation in the Digital Age: A Narrative ReviewOluwatobi AtibaConfidence in immunization has weakened across several regions over the past decade, and the circulation of inaccurate or misleading content about vaccines has accompanied, though not necessarily caused, the resurgence of vaccine-preventable infections. Adequate analysis cuts across immunology, behavioral science, communication research, and public-health practice. This narrative review draws on literature retrieved from PubMed, Scopus, Web of Science, and Embase, … …American Journal of Infectious Diseases, Vol. 22, Issue 1 · 23 Sep 2026 · 586 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAI-Driven Visual Communication Strategies for Enhancing Engagement in Smart Hospitality PlatformsYudhiet Fajar Dewantara, Yana Erlyana, Lim Jing YiThe rapid evolution of Smart Hospitality has reshaped how tourists interact with service providers. Visual communication plays a pivotal role in influencing engagement, yet most digital content remains generic, limiting brand resonance. This study investigates AI-driven visual communication strategies to enhance engagement by bridging computer science and design communication. A mixed-method approach was employed, starting with the analysis of 120 … …Journal of Computer Science, Vol. 22, Issue 9 · 7 Sep 2026 · 677 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIntegration of Local Large Language Models, Retrieval-Augmented Generation, and Adaptive LearningAnass Belcaid, Kamal ReklaouiIn recent years, many schools and teachers have started using closed Large Language Models (LLMs) to help with learning. These tools can be very helpful for tutoring and personal learning, but they also bring serious problems. One big issue is that they use cloud systems, which means student data is sent to outside servers. This can put privacy at risk … …Journal of Computer Science, Vol. 22, Issue 4 · 26 Mar 2026 · 3,923 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn AI-Powered Integrated Care Model Combining Traditional Chinese Medicine and Western Medicine for Personalized Alzheimer’s Disease ManagementShurong Li, Yiming Chen, Jin Xu et al.Alzheimer's Disease (AD) gradually reduces memory and cognition. While Western medicine focuses on pharmacological treatments, it frequently ignores holistic factors such as mood and digestion. Traditional Chinese Medicine (TCM) addresses these issues through a wellness-oriented approach. However, the combination of both systems in patient care is uncommon. Current Alzheimer's disease treatments are often siloed, relying solely on Western or alternative … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 16 Feb 2026 · 2,063 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPREDICTION OF FIGHT OR FLIGHT RESPONSE USING ARTIFICIAL NEURAL NETWORKSAbhijit Suresh, Sai Swarna Latha, Pooja Nair, N. RadhikaThe modern society has posed several threats to the public. Public security is declining with increasing anti-social behaviour. Cases of rape and terrorist attacks have become increasingly common and there is a strong demand for a security system to control such modalities. Anti-social behaviour is a key issue of public concern. Public perceptions, however, have been improving recently. The vital … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 3 Apr 2014 · 8,041 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOn the Application of Artificial Neural Networks in Analyzing and Classifying the Human ChromosomesIbrahiem M.M. El EmaryThis study aimed to represent an advanced software tool assists in analyzing and classifying the human chromosomes. Our new software handles both classifying and analyzing the medical image of human chromosomes according to the following steps: 1- we use the image processing utilities in Matlab to analyze the image; where we provide a new filter to remove the noise depending … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 7,515 accessesView PDFCite