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117 results for “Variety Model”
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Research ArticleOpen accessIn the keywordsOptimizing Lentil Breeding Models for South-East Kazakhstan: Yield, Adaptability, and Protein EnhancementSaikenova Alma Zhumabaevna, Kudaibergenov Mukhtar Sarsenbekovich, Kanatkyzy Makpal et al.This study presents the development of a model for optimizing lentil breeding in the agroclimatic conditions of southeastern Kazakhstan. By evaluating 31 lentil varieties and hybrid populations (F1, F2, and F3), key economically valuable traits such as yield, protein content, drought resistance, and adaptability to mechanized harvesting were identified. A systematic selection process enabled the creation of lentil variety models … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 24 Sep 2025 · 3,201 accessesView PDFCite
Research ArticleOpen accessIn the keywordsShelf-Life Prediction of Specialty Coffees using the Arrhenius ModelFrank Fernández Rosillo, María Alina Cueva Ríos, Lenin Quiñones Huatangari, Carla Guianella Samaniego LalanguiThe study estimated the shelf life of roasted and ground specialty coffees in bi-laminated and tri-laminated packaging concerning cup score, using the Acceleration Test at temperatures of 40, 50, and 60°C. The sensory evaluation was carried out by Q Grader tasters. Based on the higher value of the coefficient of determination of the regressions resulting from the cup and temperature … …OnLine Journal of Biological Sciences, Vol. 23, Issue 1 · 23 Dec 2022 · 6,881 accessesView PDFCite
Research ArticleOpen accessIn the abstractDual-Branch Shape Texture Learning With Pyramid Residual and Sobel Edge Layers for Rice Variety ClassificationM Pradeep, M SiddappaAutomated rice variety classification categorizes rice types based on features, such as grain texture, shape, color, and size. Traditional handcrafted feature-based models fail at rice classification due to lighting variations, background noise, and environmental conditions, leading to overlapping visual characteristics and frequent misclassification. To address these challenges, this research proposes a novel Dual-Branch Convolutional Neural Network with Pyramid Residual Units … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 627 accessesView PDFCite
Research ArticleOpen accessIn the abstractPleural Effusion Detection Using Optimized Pretrained ModelsRehab Fathi Ibrahim, Nashwa Mohamed Elsayed et al.Pleural effusion is an abnormal accumulation of fluid in the pleural cavity, posing a significant thoracic issue with various causes. Even with a variety of diagnostic techniques, accurate diagnosis remains challenging. Delays in diagnosis and treatment heighten the risks of the disease. In this paper, we introduce a novel approach by leveraging the Grey Wolf Optimizer (GWO) to systematically optimize … …Journal of Computer Science, Vol. 21, Issue 8 · 17 Oct 2025 · 2,308 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Software Testing for Test Case Analysis Framework Using ChatGPT with Natural Language Processing and Deep Learning IntegrationAlaa Najmi, Mohamed El-DosukyEffective testing scenarios are necessary to guarantee the dependability and Caliber of software. Conventional techniques for creating these scenarios frequently involve a great deal of manual labor and might not fully cover all software requirements. In order to improve the automation and Caliber of software testing scenario development, this study investigates the combination of Natural Language Processing (NLP) and Deep … …Journal of Computer Science, Vol. 21, Issue 5 · 1 May 2025 · 97,719 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Machine Learning-Based Sentiment Analysis of Article 370 Tweets to Support Government Policy DecisionsSubhasis Mohapatra, Sudhir Kumar Mohapatra, Sweta Samantaray et al.This study proposes a robust sentiment analysis framework to evaluate public opinion on the abrogation of Article 370 using Twitter data. The methodology begins with tweet collection through the Twitter API, followed by systematic preprocessing. Sentiment labels were generated using the Text Blob lexicon-based polarity scoring approach to facilitate the construction of a large-scale sentiment dataset. Features are extracted, and … …Journal of Computer Science, Vol. 22, Issue 6 · 2 Jul 2026 · 914 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Hybrid Model to Predict the Performance of Trainee Teachers Based on Clustering and ClassificationYissam Lakhdar, Khawla EL-Bendadi, Brahim BakkasThis article explores how artificial intelligence, particularly machine learning, can be used to assess and predict the performance of trainee teachers in Morocco. Considering the country's focus on integrating technology into education and the challenges posed by the COVID-19 pandemic, the authors propose a novel hybrid model that combines clustering and classification algorithms. This model aims to understand the Information … …Journal of Computer Science, Vol. 20, Issue 9 · 26 Jun 2024 · 5,100 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Wireless Networks and Internet of Things for Enhanced Monitoring of Students During Virtual ClassSulaiman Abdullah AlateyahThe entire educational model has undergone a significant change as a result of the Internet of Things (IoT)'s introduction to the educational sector. Universities have a significant chance to take advantage of the IoT technology in a variety of ways, including data collection and analysis to improve the educational experience, promote the achievement of learning objectives, and enhance overall school … …Journal of Computer Science, Vol. 20, Issue 6 · 15 Mar 2024 · 5,195 accessesView PDFCite
Research ArticleOpen accessIn the abstractTesting React Native Mobile Apps: Pruning GUI Model ApproachRand Marwan Khalil Ibrahim, Samer ZeinThe mobile app market is still in continual growth. People are migrating to smartphone mobile devices to accomplish their daily activities while working, playing, and communicating with others. From the developers' perspective, there exists a wide variety of platforms, technologies, and architecture choices for developing and testing mobile apps. However, because of the constant changes in software applications and the … …Journal of Computer Science, Vol. 20, Issue 6 · 12 Mar 2024 · 6,070 accessesView PDFCite
Research ArticleOpen accessIn the abstractReconstruction Investigation Model for Database Management SystemsAbdulaziz Saleh AlraddadiThere have been increased levels of cybercrime in the database industry, which has hurt the confidentiality, integrity, and availability of these systems. Most organizations apply several security layers to detect and prevent database crimes. For this reason, Database Forensics (DBF) plays a very important role in capturing and discovering, who the criminal is, when the crime was committed, and which … …Journal of Computer Science, Vol. 20, Issue 1 · 28 Nov 2023 · 5,608 accessesView PDFCite