115 results for “constraints based”

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Research ArticleOpen accessIn the abstractDelay-Conscious Service Quality Constraint in IoT Sensor Networks for Smart FarmingZatin Gupta, Amit Kumar BindalThe Internet of Things (IoT) offers different services for the agriculture industry, such as monitoring and analysing real-time data related to current weather conditions, water level, irrigation requirements, growth of plant disease and health status/temperature/humidity, etc.,). The performance of IoT networks may vary due to environmental conditions and operational areas (rural area/urban area/underwater). These constraints may degrade the transmission quality … …Journal of Computer Science, Vol. 19, Issue 8 · 9 Aug 2023 · 5,385 accessesView PDF Cite

Research ArticleOpen accessIn the abstractBenchmarking Lightweight Deep Learning Models for Field Based Sorghum Leaf Disease DetectionPrince Daughin Ngqabutho NcubeSorghum is a climate-resilient cereal crop central to food and livelihood security across Southern Africa, yet its productivity is frequently reduced by foliar diseases that smallholder farmers struggle to diagnose reliably in the field. While deep learning has demonstrated strong potential for automated plant disease identification, sorghum remains underrepresented in the literature, and no prior study has provided a comprehensive, … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 535 accessesView PDF Cite

Research ArticleOpen accessIn the abstractHMA-RAG: A Hierarchical Memory Augmented Retrieval Augmented Generation Framework for Fake News DetectionAfnan Altarjami, Sawsan AlshattnawiExisting methods for detecting fake news, such as traditional machine learning and transformer-based models, often work as separate classifiers that do not use outside evidence, historical knowledge, or ways to make the results easier to understand. This paper presents a framework that combines retrieval augmentation and hierarchical memory to overcome three primary constraints: Insufficient external evidence, the absence of memory, … …Journal of Computer Science, Vol. 22, Issue 9 · 7 Sep 2026 · 735 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Novel Approach for Differentiating AI-Generated and Real Images Using Gabor and Color Layout Filters (GF and CLF)G. Ayyappan, A. Thankaraj, S. Surendran et al.The emergence of generative AI images has profoundly upended the art world. Distinguishing AI-generated images from human-created artwork is increasingly challenging. If this issue remains unresolved, dishonest individuals may exploit those who are willing to pay more for original artwork and businesses whose stated policies exclude AI graphics. There are a number of methods for differentiating AI photos from human … …Journal of Computer Science, Vol. 22, Issue 2 · 3 Mar 2026 · 1,751 accessesView PDF Cite

Literature ReviewOpen accessIn the abstractTopological Approaches to Mechatronic Systems: A ReviewJean Bosco Samon, Damasse Harold TchouazongAn interest in the mechanical topology approach is to reduce the mass considerably in order to minimize the costs of manufacturing, transporting and purchasing products. The same interest can be found in mechatronic topological approaches where many disciplines should be fit together, facing therefore many and variant constraints. Distinguish topological approaches are found in the literature. Many are more specific … …Journal of Mechatronics and Robotics, Vol. 6, Issue 1 · 24 Jan 2022 · 6,707 accessesView PDF Cite

Research ArticleOpen accessIn the abstractFew-shot Fine-tuning of BERT Multilingual for Hindi Word Sense DisambiguationShailendra Kumar Patel, Rakesh Kumar, Anuj Kumar SirohiWord Sense Disambiguation (WSD) is a fundamental task in Natural Language Processing (NLP), addressing the challenge of identifying correct word meanings in context. This task is particularly complex for morphologically rich and resource-limited languages like Hindi, which exhibit significant lexical ambiguity compounded by limited availability of annotated corpora. To address these challenges, we propose a supervised approach combining the multilingual … …Journal of Computer Science, Vol. 21, Issue 11 · 26 Dec 2025 · 2,250 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSmart Harvesting Decision System for Date Fruit Based on Fruit Detection and Maturity Analysis Using YOLO and K-Means SegmentationMohamed Ouhda, Zarouit Yousra, Brahim AksasseThe date palm (Phoenixdactylifera) is a large palm with exotic fruits measuring up to 30 metersin height. The date palm produces fruits rich in nutrients provides a multitudeof secondary products, and generates income necessary for the survival of alarge population. Losses attributed to manual harvesting encompass bothquantitative and qualitative aspects, with the latter measured throughattributes such as appearance, taste, texture, … …Journal of Computer Science, Vol. 19, Issue 10 · 9 Sep 2023 · 5,813 accessesView PDF Cite

Research ArticleOpen accessIn the abstractBiomorphological Indicators of Rainbow Trout (Oncorhynchus mykiss) Fry: Comparative Analysis in the Conditions of the Lower Kolsay and Fish FarmsBarakov Rinat Tairovich, Abilov Berdibek Ibragimovich, Assylbekova Saule Zhangirovna et al.Rainbow trout (Oncorhynchus mykiss Walbaum, 1792) is one of the key species in aquaculture of the salmon family due to its high commercial value and the availability of farming technology. This paper presents data on the morphometric characteristics of rainbow trout fry grown in three types of farms in Kazakhstan and wild forms from Lake Lower Kolsay. The comparison was … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 1 Apr 2026 · 1,384 accessesView PDF Cite

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 PDF Cite

Research ArticleOpen accessIn the abstractYazidi Women in Displacement in Northern Iraq: Gendered Realities and their Impact on Mental HealthKristina Jadranović, Turkiya Shammo et al.This study explores how gendered realities affect the mental health of Yazidi women, currently displaced in Northern Iraq. The aim is to identify positive and negative gender practices, explore their impact on mental health outcomes, and situate them in the cultural and socio-political context of the Yazidi community. The study adopts a mixed methods research design, combining the results of … …Journal of Social Sciences, Vol. 20, Issue 1 · 3 Feb 2025 · 6,887 accessesView PDF Cite