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357 articles for “Quality of test”
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Research ArticleOpen accessIn the abstractEvaluation of Test Case Generation based on a Software Product Line for Model TransformationAlexandre Augusto Giron, Itana Maria de Souza Gimenes, Edson OliveiraJrModel-Driven Engineering (MDE) supports model evolution and refinement by means of model transformations at several abstraction levels. Validating these transformations is essential to ensure the quality and correctness of such models. However, MDE transformations become more complex to validate, for example, when they are implemented in different languages. One particular example is the transformation of the SyMPLES approach. SyMPLES is … …Journal of Computer Science, Vol. 14, Issue 1 · 22 Jan 2018 · 8,282 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Deep Learning Framework for Classifying and Evaluating Yoga ExercisesMehar Latif Malik, Arun KhoslaYoga is a type of physical activity that combines physical postures with breathing techniques. Cardiovascular disease is the leading cause of illness and mortality. Yoga's potential involvement in cardiac recovery can be incorporated into cardiovascular rehabilitation. Classifying and evaluating yoga exercises using a deep learning framework plays a significant role in postoperative recovery. Home based rehabilitation often suffers from a … …Journal of Computer Science, Vol. 19, Issue 2 · 30 Jan 2023 · 6,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of the Mutagenicity of 2-aminoanthracene Using Chicken Hepatic S-9 FractionVladimir A. Chistyakov, Alexander V. Usatov, Aleksander I. Klimenko et al.The abundance of potential genotoxins makes it necessary to improve microbial test systems that allow to identify these substances quickly. At the same time, the methodology of metabolic activation of promutagens in vitro is very important. Microsomal preparations of rodents, which are generally used for that, have significant disadvantages associated with the potential health risks of the inducers of the … …OnLine Journal of Biological Sciences, Vol. 18, Issue 4 · 16 Nov 2018 · 7,192 accessesView PDFCite
Research ArticleOpen accessIn the abstractShelf-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 abstractOptimisation of Plant Mineral Nutrition, Growth Stimulation and Yield Enhancement Through the Use of a Bio Formulation Based on Phosphate Solubilising BacteriaZhanar Zhumadilova, Laura Tokhetova, Gulsim Baimbetova et al.The aim of this study was to evaluate the agronomic and fodder efficiency of various fertilisation treatments in relation to their effects on plant growth, chemical composition, and soil properties. The study evaluated the effectiveness of a bio-formulation based on Phosphate-Solubilising Bacteria (PSB) in combination with mineral fertiliser (N60P90 + N30) in enhancing the productivity of forage crops and improving … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 23 Sep 2026 · 385 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Review of Artificial Intelligence and Deep Learning Approaches for Cocoa Pod Disease DetectionHenry Techie-Menson, Michael Asante, Yaw Marfo Missah et al.Cocoa pod diseases destroy an estimated 700,000 metric tons of cocoa annually, threatening 40–50 million smallholder farmers across tropical regions. Accurate field diagnosis remains constrained by symptom similarity, labour-intensive scouting, and limited specialist access in remote communities. This paper presents a PRISMA-guided systematic review of 25 peer-reviewed studies on automated cocoa pod disease detection and classification (2016–2026), addressing architectural approaches, … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 733 accessesView PDFCite
Research ArticleOpen accessIn the abstractLightweight Deep Learning Model for TFT-LCD Pixel Defect Detection Using MobileNetV2J. Sheikshabjan, K. Dhanakodi, A.T. Rajamanickam et al.The proposed methodology aims to achieve high classification accuracy while maintaining computational efficiency and minimizing inference latency, making it highly suitable for real-time industrial inspection scenarios. This study evaluated five traditional transfer learning models (VGG16, ResNet50, MobileNetV2, Xception, and InceptionV3) for comparison in pixel defect detection. MobileNetV2-based implementation demonstrated a competitive average test accuracy of 0.9916, outperforming several baselines while … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 673 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 abstractA Context-Aware Temporal Convolutional Network for Water Replacement Prediction in Catfish Biofloc Ponds With Imbalanced Event HandlingYaddarabullah, Inanpi Hidayati Sumiasih, Mutiara Dewi PuspitawatiWater replacement is a biologically critical yet under-automated decision in biofloc-based aquaculture systems. Mistimed actions can destabilize microbial ecosystems, elevate fish mortality, and compromise sustainability through excessive water usage. Traditional rule-based heuristics often fail to account for the nonlinear and multiscale dynamics of pond environments. To address this, we propose a Context-Aware Temporal Convolutional Network (CA-TCN), a rare-event classification framework … …Journal of Computer Science, Vol. 22, Issue 3 · 5 Mar 2026 · 1,664 accessesView PDFCite
Research ArticleOpen accessIn the abstractQ-Optimizer: An AI-Based Optimization Framework for Efficient SDN Routing and QoS EnhancementDeepthi Goteti, Vurrury Krishna ReddyWith their rigid layers, traditional networks do not meet evolving traffic demands. As a result, they tend to face congestion along with un-optimized routing. SDN controls traffic management by introducing a programmable control plane, enabling dynamic and intelligent network management. However, older routing techniques, such as Dijkstra's and Multipath, suffer from low adaptability, leading to a rise in latency and … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,227 accessesView PDFCite