37 results for “Demand Learning”

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Research ArticleOpen accessIn the abstractAutomated Evaluation of Short Answers Using Text Similarity for the Portuguese LanguageSilvério Sirotheau, Joao C.A. dos Santos, Eloi L. Favero, Simone N. de FreitasAlong with the development of distance education, emerges the demand for virtual environments as the automated evaluation studies of essays that has already produced promising results. However, when dealing with short answers, replicating the decisions of a human grader is still a challenge, as the portability of essay evaluation techniques to short answers has not produced results with the same … …Journal of Computer Science, Vol. 15, Issue 11 · 21 Nov 2019 · 6,899 accessesView PDF Cite

EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,756 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Theory of the Mind as a Complex SystemCraig P. Speelman, Kim Kirsner, Stephan HalloyFive principles of skill acquisition are presented based on a review of research on human learning and expertise. Essentially these principles state that practice leads to faster and more efficient uses of knowledge. This enables faster performance and results in less demand on mental resources. In turn these outcomes enable higher level behaviours to be attempted. Ultimately skills are developed … …Current Research in Psychology, Vol. 3, Issue 1 · 9 Jul 2012 · 9,149 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEffects of Quercetin Encapsulated Liposomes via Nasal Administration: A Novel Cognitive EnhancerTerdthai Tong-un, Supaporn Muchimapura, Wathita Phachonpai, Jintanaporn WattanathornProblem statement: Demand for cognitive-enhancing drugs is growing. Numerous medicinal plants possessing antioxidant activity have received much attention as food supplement to improve cognitive function. Quercetin is a potent free radical scavenger and antioxidant. However, the limitations of quercetin: Rapidly metabolized is an obstacle to its use for a cognitive enhancer. In addition, the burden of blood brain barrier can … …American Journal of Applied Sciences, Vol. 7, Issue 7 · 31 Jul 2010 · 7,498 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSocial Capital Concerning a Conservation of Sweet Wild Trees (Phak Whanpa) in a Northeastern Thailand CommunityPhiphaporn Ravipolsadtanan, Worapol Aengwanich, Prasopsuk LittidetProblem statement: Thai people favored to eat Sweet Wild Trees (Phak Whan Pa). The wild trees naturally grew quite slowly in the forests. Their leaves, eaten as vegetables, could not meet market demand nationwide. Seedling was difficult and people were not interested in planting them. Support from government and/or public sectors was slow. Those were the causes for shortages of … …Journal of Social Sciences, Vol. 5, Issue 1 · 31 Mar 2009 · 7,794 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordEdge Computing Enabled Human Activity Recognition (ECEHAR) Using LSTM and CNNSuresh Kumar, M Y. Mohamed ParveesHuman Activity Recognition (HAR) is an important research area for various application domains such as healthcare, gaming, telemonitoring, and sports. However, executing HAR algorithms on remote servers or in the cloud have challenges in terms of high latency, increased bandwidth demand, and high energy consumption. Moving the computation to edge-assisted HAR is more effective and flexible solution to address the … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,578 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordClassification Program and Story Boundaries Segmentation in TV News Broadcast Videos via Deep Convolutional Neural NetworkMounira Hmayda, Ridha Ejbali, Mourad ZaiedGiven the amount of video information on the net, the user has had difficulty finding the information in a reasonable amount of time. Thus, all video content must be segmented and annotated so that he/she can access the information directly. The goal of the proposed approach is to allow a better exploitation of video by multimedia services (TV-On- Demand, catch-up … …Journal of Computer Science, Vol. 16, Issue 5 · 14 May 2020 · 7,743 accessesView PDF Cite