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73 results for “Learning Data type”
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Research ArticleOpen accessIn the abstractEffect of Bisphenol a on Passive Avoidance Performance in Male RatsMahnaz Taherianfard, Bita Geramizadeh, Mehrzad Banihashemi et al.Bisphenol A (BPA) is used to manufacture polycarbonate plastic products in resins lining metal cans, in dental sealants and in blends with other types of plastic products. In sharp contrast, there are many published studies that BPA has a wide range of significant adverse effects including structural and neurochemical changes throughout the brain associated with behavioral changes, such as hyperactivity, … …Current Research in Medicine, Vol. 4, Issue 2 · 10 Dec 2013 · 7,225 accessesView PDFCite
Research ArticleOpen accessIn the abstractSurvival and Change of Mahoree Tradition in Cambodian SocietyPittayawat Pantasri, Jarernchai Chonpairot, Boonsom YodmaleeProblem statement: Mahoree, is an important music ensemble in Cambodia since the Angkorean period. Mahoree formerly belonged to the court or noble Cambodian families. Mahoree is very popular and practiced by ordinary people and plays an important role in Cambodian society. Mahoree is a culture of the community and the Cambodian society and can be preserved and promoted by community … …Journal of Social Sciences, Vol. 8, Issue 2 · 13 Mar 2012 · 8,666 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Framework for Mixed Data Clustering Using Self Organizing MapHari Prasad Devaraj, M. PunithavalliProblem statement: Clustering plays an important role in data mining of large data and helps in analysis. This develops a vast importance in research field for providing better clustering technique. There are several techniques exists for clustering the similar kind of data. But only very few techniques exists for clustering mixed data items. This leads to the requirement of better … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 7,307 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Resistance to Human Immunodeficiency Virus Protease Inhibitors Using Molecular Mechanics and Machine Learning StrategiesA. Harishchander, D. Alex Anand, Sanjib SenapatiProblem statement: Drug resistance is the most important factor, which influences the failure of current HIV therapies. So, the ability to predict the drug resistance of HIV-1 protease mutants will be useful in developing more effective and longer lasting treatment regimens. Approach: Drug resistance of HIV-1 protease is predicted with two current protease inhibitors (Indinavir and Saquinavir). The problem was … …Current Research in Medicine, Vol. 1, Issue 2 · 31 Oct 2010 · 7,206 accessesView PDFCite
Research ArticleOpen accessIn the abstractAuthentic Assessment and Pedagogical Strategies in Higher EducationChan Yuen Fook, Gurnam Kaur SidhuProblem statement: Researchers have noted that there is a mismatch between curriculum content and assessment practices in higher education. At the moment, the focus is still on the assessment of learning and not much on assessment for learning. Therefore, this study was conducted to examine the implementation of authentic assessment in higher education in Malaysia. Approach: The study employed a … …Journal of Social Sciences, Vol. 6, Issue 2 · 30 Jun 2010 · 17,108 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Q-Routing Protocol Using Self-Aware Approach for Mobile Ad hoc NetworksAmal Alharbi, Abdullah Al-Dhalaan, Miznah Al-RodhaanMobile Ad hoc Networks (MANET) are self-organized networks that are characterized by dynamic topologies in time and space. This creates an instable environment, where classical routing approaches cannot achieve high performance. Thus, adaptive routing is necessary to handle the challenges in MANETs. Furthermore, it is necessary for nodes to be self-aware i.e., able to discover neighbors, links and paths when … …American Journal of Applied Sciences, Vol. 12, Issue 12 · 7 Dec 2015 · 6,468 accessesView PDFCite
Research ArticleOpen accessIn the abstractDecoding Lung Cancer: PLAU as a Critical Driver and Diagnostic MarkerStanley Cho, Min Gyeong KimLung cancer remains a leading cause of cancer-related mortality, and understanding its underlying molecular mechanisms is critical for developing targeted therapies. We developed a novel tool called the Transcriptome-TCGA Integration (TTI), which combines in vitro transcriptome data with clinical datasets from the Cancer Genome Atlas (TCGA). TTI allows for the identification of key genes and pathways involved in lung cancer, … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 15 Feb 2026 · 1,429 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Criteria Decision-Making Methodology for Sustainable Creativity in Social MediaShilpi Sharma, Tanupriya Choudhury, Bhupesh Kumar DewanganA major topic that every researcher is pursuing is sustainability in every aspect of knowledge and learning. In the 21st century, the world is facing a challenge. Some of the well-known Multi-Criteria Decision-Making tools are Analytic Network Process (ANP), Analytical Hierarchy Process (AHP), TOPSIS, ELECTRE, Choice Based Conjoint Analysis (CBC) etc. This approach is used in various research domains. The … …Journal of Computer Science, Vol. 17, Issue 11 · 5 Dec 2021 · 6,656 accessesView PDFCite
Research ArticleOpen accessIn the abstractCerebrovascular Accident Attack Classification Using Multilayer Feed Forward Artificial Neural Network with Back Propagation ErrorOlatubosun Olabode, Bola Titilayo OlabodeProblem statement: Most important problems of medical diagnosis. When there is a cerebrovascular accident attach the chances of a successful treatment depends essentially on the early diagnosis. In practice the part of medical errors while diagnosing a stroke type comes to 20-45% even for experienced doctors and the scope of methods of neurovisualization at stroke diagnosis are limited. Approach: In … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,335 accessesView PDFCite
Research ArticleOpen accessIn the abstractCLASSIFICATION OF DIGITAL IMAGES USING FUSION ELEVATED ORDER CLASSIFIER IN WAVELET NEURAL NETWORKR. Arulmurugan, P. SengottuvelanThe revival of wavelet neural networks obtained an extensive use in digital image processing. The shape representation, classification and detection play a very important role in the image analysis. Boosted Greedy Sparse Linear Discriminate Analysis (BGSLDA) trains the cascade level of detection in an efficient manner. With the application of reweighting concept and deployment of class-reparability criterion, lesser search was … …Journal of Computer Science, Vol. 10, Issue 9 · 23 Jun 2014 · 6,792 accessesView PDFCite