Research ArticleOpen accessIn the keywordsQArabPro: A Rule Based Question Answering System for Reading Comprehension Tests in ArabicMohammed Akour, Sameer Abufardeh, Kenneth Magel, Qasem Al-RadaidehProblem statement: Extensive research efforts in the area of Natural Language Processing (NLP) were focused on developing reading comprehension Question Answering systems (QA) for Latin based languages such as, English, French and German. Approach: However, little effort was directed towards the development of such systems for bidirectional languages such as Arabic, Urdu and Farsi. In general, QA systems are more … …American Journal of Applied Sciences, Vol. 8, Issue 6 · 14 Jun 2011 · 7,701 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAnalytical Study of Fujisaki’s Model of Fundamental Frequency Contour for Thai TonesSuphattharachai Chomphan, Chutarat ChompunthProblem statement: Tone of a tonal language is an important feature of a prosodic syllable to identify the meanings of that syllable or that part of word. Ii is very crucial to model the feature related to tone of speech to achieve the most naturalness in speech communication. Approach: The study presents an approach to analyze the model parameters of … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 16 Aug 2012 · 6,991 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAC Analysis of PEO10LiCF3SO3 Polymeric Material for Memory Storage ApplicationMahmoud Z. IskandaraniProblem statement: Intelligent systems that need to accurately represent human brain requires analogue devices such as a neural switch that processes decision signals and can actually remember the made decision. Polymeric material such as PEO10LiCF3SO3, which previously used in high energy, long life storage batteries, is used here to implement the principle of storage with the required analogue memory. Approach: … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 1 · 31 Mar 2010 · 7,981 accessesView PDFCite
Research ArticleOpen accessIn the keywordsProgressive Content-Sensitive Data Retrieval in Sensor NetworksBo Yang, Manohar MareboyanaProblem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data) has been considered as a challenging task due to the lack of infrastructures and the multiple limitations (such as band-width, storage and energy). While the past research discussed much on routing protocols for sensor networks, few works have … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 6,845 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImpedance Analysis of Heat Treated Polyethylene Oxide Polymeric Material for a Neural Storage ApplicationMahmoud Z. IskandaraniProblem statement: From the early days of, researchers have developed electronic models of neurons designed to emulate neural behavior with electrical signals that mimic in some ways the measured potentials of biological neurons. Researchers interested in fabricating artificial neurons have long sought a simple and techniques to produce devices that efficiently store synaptic weights, which is behind holding a particular … …American Journal of Applied Sciences, Vol. 6, Issue 7 · 31 Jul 2009 · 7,085 accessesView PDFCite
Research ArticleOpen accessIn the abstractPandemic Analysis and Preparedness Using a Three Layer Machine Learning ApproachArtika Singh, Manisha JailiaOutbreak analysis provides research-based information and data to enable scientific decision-making to manage an effective response to a pandemic. Pandemic analysis has its own set of challenges, such as limited data, the need for real time analysis, and the complexity of outbreak patterns. This study proposes a hybrid approach to manage such a spread through a 3-layer machine learning-based outbreak … …Journal of Computer Science, Vol. 22, Issue 11 · 15 Oct 2026 · 614 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Deep Learning Approach for Telugu Domain Identification with Multichannel LSTM-CNNBuddha Hari Kumar, Chitra Perumal, Inakoti Ramesh Raja et al.The vast growth of textual data has ushered into the limelight, a plethora of applications in information retrieval and natural language processing (NLP). Proper extraction of information from text is heavily dependent on recognizing the thematic content, which becomes crucial in the tasks of document summarization, information extraction, question answering, machine translation, and sentiment analysis. The great complexity of this … …Journal of Computer Science, Vol. 21, Issue 9 · 26 Nov 2025 · 2,395 accessesView PDFCite
Research ArticleOpen accessIn the abstractDistributed Vehicle Tracking System Using Image Processing TechniquesIehab Abdul Jabbar Kamil, Mohanad Abdulsalam Al-AskariIn this part of the research, an implementation of a distributed vehicle tracking system that uses image processing techniques for real-time automobile surveillance is done. The system uses OpenCV, Pytesseract and Optical Character Recognition (OCR) for the extraction of the license plate information from vehicle images to identify and track vehicles. By doing so, distributed computing enables the system to … …Journal of Computer Science, Vol. 21, Issue 8 · 9 Oct 2025 · 2,263 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
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