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333 results for “Evaluation Process”
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Research ArticleOpen accessIn the abstractThe Genetic Potential of Spring Durum Wheat Grain Quality in the North of KazakhstanS. M. Dashkevich, M. U. Utebayev, O. O. Kradetskaya et al.The paper presents information about the cultivation of spring durum wheat in the conditions of Northern Kazakhstan. Methods for assessing the quality of grain and semolina in the breeding process are shown: SDS sedimentation, protein content according to Kjeldahl, content, and index of gluten using the Glutomatic 2200 system, vitreousness, hardness SKCS 4100, content of carotenoid pigments, measurements of the … …OnLine Journal of Biological Sciences, Vol. 22, Issue 3 · 2 Sep 2022 · 6,087 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Weather Data Management System for Sustainable Agriculture in Maharashtra Using Machine LearningAishwarya V. Kadu, Kuraparthi Tirumala V. ReddyAgriculture will benefit greatly from efficient weather data sustainable management. Data can be utilized to schedule the prediction yield, crop growth, and irrigation. This paper collects real-time meteorological station data via APIs, primarily focusing on the weather data sustainable management system and data related to Maharashtra Wardha, India, which is involved in a live series period. Agriculture can make potential … …Journal of Computer Science, Vol. 21, Issue 7 · 7 Jul 2025 · 3,507 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Logic-Based Quantification of Usability Expectation for M-Commerce Mobile Application by Using GQM and ISO 9241-11Manish Mishra, Reena DadhichFuzzy logic-based quantification of usability expectation for an m-commerce mobile application is a process of measuring the usability of a mobile application by using fuzzy logic principles. The usability of any mobile application is used to find out the user experience of the mobile application by analyzing the user's expectations and preferences. Fuzzy logic always be the optimal choice for … …Journal of Computer Science, Vol. 20, Issue 1 · 24 Nov 2023 · 6,209 accessesView PDFCite
Research ArticleOpen accessIn the abstractWorking Process Analysis and Parameter Optimization of Millet Hill-Drop Seed Metering DeviceTao Chen, Shujuan Yi, Yifei LiDue to the small size, light weight, and impurities of millet, the existing seeders have poor quality when sowing millet, this study analyzed the working process of the pneumatic-mechanical combined seed metering device, established the equations of seed movement in the seed filling zone, seed cleaning up zone, seed carrying zone and seed dropping zone by dynamic theory. The theoretical … …American Journal of Agricultural and Biological Sciences, Vol. 18, Issue 1 · 12 Aug 2023 · 6,508 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Cluster Head Selection in IoV-Enabled VANETs Using a Federated Diffusion Convolutional Recurrent Neural Networks FrameworkP Subhash, Madana Srinivas, A. Ranjith et al.The IoV enables the formation of VANETs that require a strong selection of CHs for effective communication within high-velocity changing traffic scenarios. Existing approaches often face issues related to scalability, privacy, and adaptability. To meet the aforementioned urgent needs, we design a decentralized scheme for intelligent CH selection based on Federated Learning with Diffusion Convolutional Recurrent Neural Networks (DCRNNs). According … …Journal of Computer Science, Vol. 22, Issue 10 · 1 Oct 2026 · 599 accessesView PDFCite
Research ArticleOpen accessIn the abstractTAGN-IDC: Implicit Discrete Constraints for Tsunami Aware Graph Neural Networks in Spatial Evacuation RoutingSularno, Wendi Boy, Putri Anggraini et al.Tsunami evacuation route requires rapid identification of safe evacuation paths under dynamically changing hazard conditions. A major challenge is incorporating hard binary road-blockage constraints caused by tsunami inundation while maintaining end-to-end differentiability for deep learning models. Existing approaches commonly rely on continuous relaxations or stochastic sampling techniques, which either compromise physical feasibility or increase computational complexity. This study proposes the … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 704 accessesView PDFCite
Research ArticleOpen accessIn the abstractAddressing Emergency Communication Challenges: Deep Learning Solutions for the Speech and Hearing- ImpairedPoornima B V, Srinath S et al.Emergency communication plays a very important role in ensuring that help reaches people promptly and safely in case of any emergency. However, the biggest problem faced by those who cannot speak and hear properly is to convey their message clearly and understand others. In this regard, the proposed research work focuses on recognizing emergency gestures made in the Indian Sign … …Journal of Computer Science, Vol. 22, Issue 5 · 1 Jun 2026 · 1,063 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Survey of Quadratization Methods Used in QUBO Formulations and their Usage in Quantum and Digital AnnealingGeethika Prabhath, Anuradha Mahasinghe, Nalin Ranasinghe, Kasun De ZoysaQuantum annealing is a metaheuristic method aimed at finding the global minimum of a pseudo-Boolean quadratic function. To solve a problem by a quantum annealer, it must be restated as a QUBO (quadratic unconstrained binary optimization) problem, the standard format acceptable to an annealer. However, there are many natural problems that turn out be of cubic or higher order, yet … …Journal of Computer Science, Vol. 22, Issue 1 · 16 Feb 2026 · 2,554 accessesView PDFCite
Research ArticleOpen accessIn the abstractIncorporation of Modified Region Growing into FCM Clustering for Extraction of Tumors in MR ImagesLovepreet Singh Brar, Jaget Singh, Bhawana Agrawal et al.Due to the tremendous growth of medical Magnetic Resonance (MR) images, it becomes an essential requirement for an automated extraction of diagnostically salient parts of the images to refine the transmission and storage process. Research method: This paper proposes an automated unsupervised machine learning segmentation technique named fuzzy c-means clustering based on modified region growing algorithm (RG-FCM) for the extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,477 accessesView PDFCite