68 articles for “Layer Three”

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Research ArticleOpen accessEvery word in the titlePandemic Analysis and Preparedness Using a Three Layer Machine Learning ApproachArtika Singh, Manisha JailiaOutbreak analysis provides research-based information and data to enable scientific decision-making to manage an effective response to a pandemic. Pandemic analysis has its own set of challenges, such as limited data, the need for real time analysis, and the complexity of outbreak patterns. This study proposes a hybrid approach to manage such a spread through a 3-layer machine learning-based outbreak … …Journal of Computer Science, Vol. 22, Issue 11 · 15 Oct 2026 · 632 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsTHE RATIONAL BEHIND THE SERVAL NETWORK LAYER FOR RESILIENT COMMUNICATIONSPaul Gardner-Stephen, Andrew Bettison, Romana Challans, Jeremy LakemanThe Internet Protocol is the dominant network protocol used in public networks today and has proven to be highly effective for wired networks and wireless networks alike, provided network address allocation can be coordinated. Mesh networks consisting of highly mobile devices present new challenges, especially when the assumption of coordination does not apply. One situation where coordination is not readily … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 7,708 accessesView PDF Cite

Research ArticleOpen accessIn the abstractResponse of Root Growth and Root Border Cell Characteristics of Hemerocallis fulva to NaCl StressJinxiu He, Yongxu Qiao et al.Taking three Hemerocallis cultivars ('Jingzhouhua', 'Qingchong', 'Changzuizihua') with different salt tolerance as materials, the effects of 0-200 mmol/L NaCl on root morphology and Root Border Cell (RBC) characteristics were investigated using hydroponic and root suspension culture methods and one-way analysis of variance (ANOVA). The results showed that the root morphology indicators and activity of the high-salt-tolerant 'Jingzhouhua' decreased less than … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 27 Oct 2026 · 80 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 · 747 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPostnatal Muscle Growth and Allometry in Anatomical Regions of Russian Black-Pied Heifers and their Crosses With Hereford and Charolais Under Intensive RearingIvan Petrovich Prokhorov, Grigorii Sergeyevich Shekhovtsev, Yulia Vasilevna ShoshinaCrossbreeding dairy cattle with specialized beef breeds is an effective strategy to increase beef production, yet data on muscle growth patterns in crossbred heifers remain limited. This study aimed to evaluate the growth intensity and redistribution of muscle mass in anatomical regions of carcasses in Russian Black-Pied heifers and their crosses with Hereford and Charolais breeds. A scientific experiment was … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 2 · 10 Aug 2026 · 923 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCrop Yield Prediction in Niger Using Machine Learning TechniquesMahaman Lawali Inoussa Garba, Naroua Harouna, Chaibou Kadri et al.Agriculture is the most impactful sector on Niger's economic growth. Stresses related to climate change and the environment are leading to a continuous decline in crop yield. Accurate crop yield forecasting is of paramount importance for farmers, government, policy makers, and other stakeholders to make most appropriate decisions regarding resource allocation and food security. This study examines the power of … …Journal of Computer Science, Vol. 21, Issue 8 · 16 Sep 2025 · 5,799 accessesView PDF Cite

Research ArticleOpen accessIn the abstractImportance of Soil and Mineral Characteristics in Supporting Sustainable AgricultureIda Suryani, Marliana Sjuaib Palad, Nur Fitriani et al.Soil consists of four main components: Minerals, organic matter, air, and water, which are arranged in the space to form the soil body. Inorganic minerals in the soil come from rock fragments and other primary minerals. Sustainable soil fertility is supported by the nutrient content contained in the minerals. The research objectives were: 1) to observe the physical and chemical … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 25 Mar 2025 · 5,945 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEffect of Tropical Alfalfa on Cholesterol (Egg and Blood) and Layer Chicken Meat QualityBambang Suwignyo, Eprilia Aristia Rini, Heru Sasongko et al.Tropical alfalfa is a cultivar of alfalfa with high protein content and good adaptability with the local name Kacang Ratu BW. The supplementation of duck feed with tropical alfalfa or Kacang Ratu BW may reduce the cholesterol levels in duck meat with the presence of saponin. This study aimed to determine the effects of Kacang Ratu BW supplementation on egg … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 3 · 22 Sep 2023 · 5,249 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDeep Learning Approaches for Brain Tumor Diagnosis using Fused Layer AcceleratorMitrabinda Khuntia, Prabhat Kumar Sahu, Swagatika DeviDeep Convolutional Neural Networks (DCNNs) are an emerging field in biomedical processing. Tumor classification is a key stage in the pathology analysis process, and deep learning algorithms for brain tumor categorization have recently shown promising results. However, these approaches often require more storage and more expensive training procedures to input a large number of training variables. To address this issue, … …Journal of Computer Science, Vol. 19, Issue 2 · 19 Jan 2023 · 5,791 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSpatial Distribution and Evaluation of Heavy Metal Pollution in Soil Based on Three-Dimensional Model and Kriging InterpolationBaoshun Liu, Yonghong Zhang, Jun Yao, Jian SuSoil heavy metal pollution is an important content for soil environmental governance. Based on the three-Dimensional (3D) geological modeling technology and ordinary Kriging method, this study described and analyzed the soil pollution status and spatial distribution characteristics of a site in Zhongshan, Guangxi. The results showed that combining 3D geological model and the Kriging interpolation method can well evaluate soil … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 2 · 10 Jun 2022 · 6,147 accessesView PDF Cite