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234 results for “Model Training”
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Research ArticleOpen accessEvery word in the titleAcoustic Model Adaptation for Indonesian Language Utterance Training SystemLinda Indrayanti, Yoshifumi Chisaki, Tsuyoshi UsagawaProblem statement: In order to build an utterance training system for Indonesian language, a speech recognition system designed for Indonesian is necessary. However, the system hardly works well due to the pronunciation variants of non-native utterances may lead to substitution/deletion error. This research investigated the pronunciation variant and proposes acoustic model adaptation to improve performance of the system. Approach: The … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,168 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Secure Model for Storage and Dissemination of Examination Results: A Case Study of Zambia Technical Education Vocational and Entrepreneurship Training AuthorityLister Mseteka, Jackson PhiriMost developing countries and public higher institutions of learning have low levels of Information and Communication Technology (ICT) and hence face challenges in securing information and information systems. Therefore, dissemination of examination results through web and mobile applications usually raise security concerns on how to ensure the confidentiality, integrity and authenticity of students’ examination results due to susceptibility of web … …Journal of Computer Science, Vol. 15, Issue 2 · 1 Feb 2019 · 8,058 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNecessity of Tutor Training in Architecture Education Using Rasch Measurement ModelBadiossadatHassanpour, Nangkula Utaberta, Azami ZaharimThis is an unwritten norm that says learning can take place in the job. But learning in tutors’ position in the meaning of gaining experience is good but in case of try and error would be crucial. On the other hand there is a belief among practitioners that they assume that who has some experience in architecture is fully equipped … …American Journal of Applied Sciences, Vol. 9, Issue 11 · 12 Sep 2012 · 6,730 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Restructuring Process of Teacher Training System in Turkey: A Model of Teacher Training Based on Post-Graduate Education (PGCE)Sabahattin Deniz, Nurettin SahinThe article highlights the development and restructuring of teacher education policy in Turkey and reforms in late 1990s. It includes an overview of the history of modern teacher education in the country and outlines the current system. The purpose of this paper was to describe the nature of reforms and restructuring process based on post-graduate teacher education (PGCE) in the … …Journal of Social Sciences, Vol. 2, Issue 1 · 31 Mar 2006 · 7,982 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Backward Regressed Capsule Neural Network for Plant Leaf Disease DetectionJennifer Jepkoech, Benson Kipkemboi Kenduiywo, David Muchangi Mugo, Edna Chebet ToolThis study investigated the introduction ofbackward regression coupled with DenseNet features in a Capsule Neural Network(CapsNet) for plant leaf disease classification. Plant diseases are consideredone of the main factors influencing food production and therefore fast cropdisease detection and recognition are important in enhancing food securityinterventions. CapsNets have successfully been adopted for plant leaf diseaseclassification however, backpropagation of signals to preceding … …Journal of Computer Science, Vol. 18, Issue 9 · 8 Sep 2022 · 5,718 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEthics Camp: The Appropriate Management Model for Northeastern Region Youth, Ecclesiastical Region 9Wongsathit Wisupee, Sastra Laoakka, Kosit PaengsoiProblem statement: Youth’s ethics tended to be a continuous increased problem and they were in their age without judgment. Youths were very important for national development in future, if their problems were not urgently solved it would overall effect to way of live in their families, communities, socials and Thailand. Approach: This research aimed to study backgrounds, current conditions, problems … …Journal of Social Sciences, Vol. 7, Issue 2 · 4 Feb 2011 · 7,656 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluating E-learning Programs: An Adaptation of Kirkpatrick's Model to Accommodate E-learning EnvironmentsThair M. HamtiniProblem Statement: Kirkpatrick's model for the evaluation of training programs has been a staple in institutional learning since 1959 and is easily applicable to any training program. Approach: This model, however, was developed for traditional learning environments and has been regarded as antiquated, especially when one took into consideration the fact that institutional learning has increasingly taken on the form … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 7,957 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,021 accessesView PDFCite
Research ArticleOpen accessIn the abstractUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,542 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Rainfall Forecasting Using Sequential Momentum-Based Artificial Neural Networks for Urban Flood ManagementSherin K K, G. SuganthiUrban floods cause severe disruption in densely populated cities and damage essential public infrastructure. Rapid urbanization and weak drainage systems further increase the risk during heavy rainfall. Accurate short-term rainfall forecasting is required to support early warning and reduce losses. This research focuses on improving rainfall prediction accuracy using an Artificial Neural Network trained with a new optimizer named Sequential … …Journal of Computer Science, Vol. 22, Issue 4 · 9 Apr 2026 · 1,539 accessesView PDFCite