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171 results for “Training Process”
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Research ArticleOpen accessPhrase in the titleA Study on Standardization of Training Process in Titan Industries Limited- Precision Engineering Division, HosurJ. Shanmuganathan, S. Thiriveni SripriyaTraining is an effective method for enhancing the knowledge and skills of workforce in any industry and it is a critical aspect for development of organization as a whole. The objective of this study is to assess the training process and adopted a suitable method to standardize the process. In the globalised era, organizations need to update the knowledge; skill … …American Journal of Economics and Business Administration, Vol. 12, Issue 1 · 6 Feb 2020 · 8,764 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePROCESSES OF REFORMING TEACHER TRAINING IN MODERN RUSSIA (EXPERIENCE OF THE KAZAN FEDERAL UNIVERSITY)Kalimullin Ajdar MinimansurovichTwo main approaches to reforming teacher training are discussed in today’s educational system of Russia. One of them substantiates the need to update traditional for the Soviet time model of teacher training in colleges of education, while the other proves the possibility of a considerable improvement in quality of this process in conditions of classic universities, which in principle is … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 28 May 2014 · 6,814 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 keywordsOptimized Feature Selection Approach for Semi-Supervised Sentiment Analysis of E-Commerce FeedbackAlok Kumar Jena, Kakita Murali Gopal et al.In this globalized world, people prefer to buy products online without any hesitation. Usually, to acquire the quality of the product or brand, they examine the product’s reviews, which is a tedious job to do manually. The wide use of social media also encourages the users, to keep their views on the product in a global platform. By using machine … …Journal of Computer Science, Vol. 21, Issue 2 · 16 Jan 2025 · 6,179 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Comparison between Conditional Random Field and Structured Support Vector Machine for Arabic Named Entity RecognitionMarwa Muhammad, Muhammad Rohaim, Alaa Hamouda, Salah Abdel-MageidThe Named Entity Recognition (NER) is an integrated task in many NLP applications such as machine translation, Information extraction and question answering. Arabic is one of the authorised spoken languages in the united nation. Currently, there is much Arabic information on the internet, so, nowadays the need for tools which process this information becomes significant. In this study, we have … …Journal of Computer Science, Vol. 16, Issue 1 · 30 Jan 2020 · 8,113 accessesView PDFCite
Research ArticleOpen accessIn the keywordsArtificial Neural Network Based Model for Forecasting Sugar Cane ProductionO. O. Obe, D. K. ShangodoyinProblem statement: The global need for alternative energy source has necessitated the exploration of vast organic agricultural products with a view of processing them for the production of ethanol in commercial quantity. To ascertain a sustainable production of ethanol from processed sugar cane, a predictive model based on non-linearity nature of its production is imperative. This is due to unavailability … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,268 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Biochemical Characteristics of Exercise Fatigue and Recovery of Energy and Materials Based on Neural Network TechnologyPeng HuA remarkable feature of modern sports is that the training load intensity of athletes is constantly increasing, and training would bring great pressure to the athletes' bodies. One of the important problems is to improve the performance of athletes and effectively solve the problem of high load and scientific recovery. To use recovery methods meaningfully, it is necessary to understand … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 13 Jul 2026 · 903 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
Research ArticleOpen accessIn the abstractA Novel Approach Based on Federated Learning for the Identification of Man in the Middle Attacks in IOT Networks Using BlockchainSarumathi S, Juliet Johny, Minal Khandare et al.Federated Learning (FL) enables cooperative model training across dispersed edge devices while protecting data privacy and providing localized insights without the need for centralized data aggregation. In the Internet of Things (IoT), federated learning enables cooperative model training among dispersed edge devices while protecting data privacy and providing localized insights without the need for centralized data aggregation. Nevertheless, Federated Learning’s … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,613 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Attention-Based Stacked Bi-LSTM Model for Automated MultiImage CaptioningPaspula Ravinder, Saravanan SrinivasanIn recent days, the process of medical image captioning is become a prominent field. The distinct characteristics of medical imaging data provide a number of challenges when captioning medical images. Also, the variability in image modalities makes it difficult to generate an effective captioning process. Thus, the proposed study aims to design a novel Multi-image Captioning Hybrid Attention Model to … …Journal of Computer Science, Vol. 21, Issue 4 · 8 Mar 2025 · 5,157 accessesView PDFCite