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73 results for “Learning Data type”
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Research ArticleOpen accessIn the abstractComparison of Question Answering Systems Based on Ontology and Semantic Web in Different EnvironmentS. Kalaivani, K. DuraiswamyProblem statement: Question Answering (QA) system is taking an important role in current search engine optimization concept. Natural language processing technique is mostly implemented in QA system for asking user’s question and several steps are also followed for conversion of questions to query form for getting an exact answer. Approach: This paper surveys different types of question answering system based … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 8,168 accessesView PDFCite
Research ArticleOpen accessIn the abstractLandslide Susceptibility Analysis Using Numerical and Neural Network, Near Kedarnath, Uttarakhand, IndiaVinay Kumar Singh, Tariq Anwar Ansari, Vikram Vishal, T.N. SinghThe major concern in hilly regions is the stability of those slopes, which have been proclaimed due to unplanned excavation and uneven blasting during road widening and development activity. These slopes again become more vulnerable under dynamic loading and/or various types of human involvement, heavy rainfall and seismic activity. Failure of these slopes leads to loss of property and human … …American Journal of Environmental Sciences, Vol. 16, Issue 1 · 9 Mar 2020 · 7,772 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Mining: A Preprocessing EngineLuai A. Shalabi, Zyad Shaaban, Basel KasasbehThis study is emphasized on different types of normalization. Each of which was tested against the ID3 methodology using the HSV data set. Number of leaf nodes, accuracy and tree growing time are three factors that were taken into account. Comparisons between different learning methods were accomplished as they were applied to each normalization method. A new matrix was designed … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 34,390 accessesView PDFCite
Research ArticleOpen accessIn the abstractAUTOMATIC MUSIC EMOTION CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK BASED ON VOCAL AND INSTRUMENTAL SOUND TIMBRESMudiana Binti Mokhsin, Nurlaila Binti Rosli, Suzana Zambri et al.Detecting emotion features in a song remains as a challenge in various area of research especially in Music Emotion Classification (MEC). In order to classify selected song with certain mood or emotion, the algorithms of the machine learning must be intelligent enough to learn the data features as to match the features accordingly to the accurate emotion. Until now, there … …Journal of Computer Science, Vol. 10, Issue 12 · 29 Dec 2014 · 8,527 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Role of Government for Ecotourism Development: Focusing on East Coast Economic RegionMd. A.H. Bhuiyan, Chamhuri Siwar, Shaharuddin M. Ismail, Rabiul IslamProblem statement: This study explored the plans and strategies of government for ecotourism development in Malaysia as well as ECER. Government participation is necessary in developing economies where tourism planning and promotion tend to be controlled directly by governments. The ecotourism activity should have a strong focus on learning through interpretation of local ecosystems and cultural heritage. Malaysia has formulated … …Journal of Social Sciences, Vol. 7, Issue 4 · 14 Sep 2011 · 14,457 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation a Teaching Hospital Affiliated to Tehran University of Medical Sciences Based on Baldrige Excellence ModelFereshteh Farzianpour, Sara Aghababa, Bahram Delgoshaei, Marjan HaghgooProblem statement: Today, organizations are willing to achieve quality as a source of competitive advantage. Therefore, their performance evaluation and quality improvement is essential. One of the international models in this field is Baldrige health care model. Approach: The study aimed to evaluate Performance Evaluation a teaching Hospital Affiliated to Tehran University of Medical Sciences Based on Baldrige Excellence Model. … …American Journal of Economics and Business Administration, Vol. 3, Issue 2 · 7 Apr 2011 · 8,028 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssistive Courseware for the Visually Impaired based on Theory of Multiple Intelligence and SECI ModelNurulnadwan Aziz, Nur Hazwani Mohamad Roseli, Erratul Shela Eshak, Ariffin Abdul MutalibProblem statement: Courseware is one of the educational aids in teaching and learning process. Nowadays, courseware together with multimedia elements is utilized to ease learners in grasping knowledge. However, the courseware for Visually-Impaired (VI) is yet to be developed. Approach: This study discusses the development of Assistive Courseware (AC) for visually impaired learners based on Theory of Multiple Intelligence (MI) … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 31 Jan 2011 · 7,787 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDetermination of Crop Yield Detection and Prediction With Multimodal Data Using Fusion TechniquesKutlwano Sedimo, Rajalakshmi Selveraj, Venumadhav Kuthadi, Thulaganyo DimakatsoMost often, soil, environmental, and agronomic data are used in pieces, hence limiting the performance of crop selection and yield forecasting. This study develops an integrated, fusion-based framework that combines soil image classification, environmental feature analysis, and input-driven yield prediction to support precise agricultural decision-making. The system consists of three major modules: (i) a CNN for the classification of soil … …Journal of Computer Science, Vol. 22, Issue 10 · 5 Oct 2026 · 481 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordModel Classification for Predicting the Post-Translational Modification (PTM) Glycosylation in Sequence O Using an Extreme Gradient Boosting AlgorithmDamayanti, Sutyarso et al.Post Translational Modification (PTM) is an important mechanism involved in regulating protein function. Post-translational modification refers to the addition of covalent and enzymatic modifications of proteins in protein biosynthesis, which has an important role in modifying protein function and regulating gene expression. One of the post-translational modifications is glycosylation. Glycosylation is the addition of a sugar group to a protein … …Journal of Computer Science, Vol. 20, Issue 7 · 29 Apr 2024 · 5,554 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIrrigation System Using Hyperspectral Data and Machnie Learning Techniques for Smart AgricultureSanthi Balachandran, Sourna Lakshmi, Nithya RajendranWater is the main resource for agriculture. Management of water in agricultural field is a challenging process. To manage the water content in the agricultural field, smart irrigation system has been proposed by using fuzzy based decision support system on Hyperspectral Image benchmark dataset. Hyperspectral images are the process of collected and processed the images from electromagnetic spectrum. Recent studies … …Journal of Computer Science, Vol. 16, Issue 4 · 15 Apr 2020 · 7,683 accessesView PDFCite