34 articles for “Demand Learning”

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