108 results for “training methods”

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Research ArticleOpen accessEvery word in the titleSome Statistical Solutions and Methods in Evaluation of Efficiency in Sport and Effectiveness in the Phenomenon of Sportsmen' TrainingGheorghe Săvoiu, Ion Iorga, Marian Creţu, Ion MihăilăProblem statement: A general method for evaluation of efficiency in sport and effectiveness in the phenomenon of sportsmen’s training was proposed. Approach: The method of four “E” was a frame method focused on communication and evaluation, where efficiency acquired an essential importance and its variation related to the initial programme, with its time or space details, respectively related to the … …Journal of Social Sciences, Vol. 7, Issue 3 · 18 Jul 2011 · 7,878 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsThe Effectiveness of a Training Program Based on Cognitive Research Trust Strategies to Develop Seventh Grade Students’ Critical Thinking in History CourseZaid S.M. Al-EdwanProblem statement: This study focused on the importance of critical thinking in teaching methods especially in history course such as using thinking programs in teaching, this study aimed at exploring the effectiveness of a training program based on Cognitive Research Trust (CoRT) strategies to develop seventh grade student’s critical thinking in history course. Approach: To achieve this goal, a training … …Journal of Social Sciences, Vol. 7, Issue 3 · 18 Jul 2011 · 8,223 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsA Comparison of Small-Side Games and Interval Training on Same Selected Physical Fitness Factors in Amateur Soccer PlayersAli Mohammad Safania, Rostam Alizadeh, Maryam NourshahiProblem statement: Soccer is a team sport with an intermittent nature in which the athletes need to improve their physical fitness and skill factors in order to engage in high intensity exercises. The aim of this study was a comparison of small-side game and interval training on some selected physical fitness in amateur soccer players. Approach: Twenty , soccer players … …Journal of Social Sciences, Vol. 7, Issue 3 · 18 Jul 2011 · 8,919 accessesView PDF Cite

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 PDF Cite

Review ArticleOpen accessIn the abstractA Systematic Review of Adversarial Attacks: ML Techniques, Classification and CountermeasuresBhavesh Kumar Sharma, Sanatan Ratna, Rajiv KumarMachine Learning (ML) and Deep Learning (DL)-based technologies have made significant strides in areas such as computer vision, natural language processing, and autonomous systems. Yet they have been applied in high-stake applications, and have been found to be fragile through adversarial attacks-, maliciously crafted small distortions that fool models into making mistakes. From the pioneering work by Szegedy et al. … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,497 accessesView PDF Cite

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 PDF Cite

Research ArticleOpen accessIn the abstractCPF-Net: Cross-modal CT and Pathology Guided Feature Learning for CT-based Lung Cancer Subtype ClassificationPeizhi Tan, Debiao YanAccurate classification of lung cancer subtypes from CT images remains challenging due to the subtle radiological differences between adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC). We propose CPF-Net, a deep learning framework that integrates CT and pathological information through a Linear Spatial Reduction Attention (LSRA) module. The framework processes whole slide images using a modified CTransPath architecture for pathological feature … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 23 Jan 2026 · 1,856 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEcological Function Evaluation of Soil and Water Conservation Measures for Power Transmission and Transformation Project Construction Based on Remote Sensing and it’s Improvement PathYang Han, Songsong Wang, Yanhui Yang et al.Assessing ecological functions is critical for determining the efficacy of soil and water conservation measures, especially during the development of power transmission and transformation projects. Efficient conservation practices are essential for reducing ecological effects and guaranteeing sustainable development. This research aims to create a resilient model, Ecological Function Prediction for Conservation Effectiveness (EFP-CE) that will classify conservation effectiveness as either … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 17 Mar 2025 · 7,725 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOptimized 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 PDF Cite

Review ArticleOpen accessIn the abstractMachine Learning Integration for Precise Facial Micro-Expression RecognitionViola Bakiasi Shtino, Markela Muça, Senada BushatiThis study advances facial micro-expression recognition through innovative machine-learning techniques, addressing critical needs in psychology, security, and human-computer interaction. The purpose of this study is to improve micro-expression recognition through the optimization of feature transformation and machine learning algorithms. We introduce a novel approach combining Kernel Principal Component Analysis (KPCA) and Uniform Manifold Approximation and Projection (UMAP) for dimensionality reduction, … …Journal of Computer Science, Vol. 20, Issue 11 · 22 Oct 2024 · 5,592 accessesView PDF Cite