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70 articles for “Conventional Parameters”
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Research ArticleOpen accessIn the abstractA Hybrid Machine Learning Approach to Predictive Analytics in Precision Agriculture for Sustainable Crop OptimizationJignesh Kariya, Pankaj MudholkarDriven by data-enabled technologies, precision agriculture is evolving into an innovative way to increase agricultural productivity and sustainability. Conventional agricultural practices face several challenges, such as poor soil quality, inappropriate crop selection, improper resource utilization, and unpredictable climate conditions. To address these limitations, this paper proposes a hybrid machine learning framework for sustainable crop optimization and predictive analysis in precision … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 865 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 abstractImpact of Foliar Bio-Based Fertilization on Spring Wheat (Triticum Aestivum L.) in Reconciling Productivity and Alleviation of Environmental Concerns Under Semi-Arid ConditionsGani Stybayev, Raushan Ramazanova, Kelvin Harrison Diri et al.A two-year randomized field trial was conducted to evaluate the effects of foliar bio-based fertilization on the growth, productivity, grain quality, and soil health of spring wheat (Triticum aestivum L.) under semi-arid conditions in Northern Kazakhstan. Four treatments were compared: T0 (100 kg Ammophos, mineral fertilizer control), T1 (50 kg N14P23 + biotreatment), T2 (25 kg N14P23 + biotreatment), and … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 3 Apr 2026 · 1,526 accessesView PDFCite
Technical ReportOpen accessIn the abstractFish Pond Storage Preserves Chili Puree, but Nitrogen Flow-Through Fails: Unravelling the MechanismDaimon Syukri, Rina Yenrina, Rini et al.Perishable food preservation in rural and resource-limited settings remains a significant challenge, as conventional techniques frequently depend on synthetic additives or energy-intensive processes incompatible with green chemistry principles. This study evaluated fish pond immersion as a novel, low-cost preservation method for freshly ground chili purée, investigating its efficacy with and without continuous nitrogen gas flow. Chili purée samples were packaged … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 30 Mar 2026 · 1,344 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Technical, Economic and Environmental Evaluation Study of Utilising Fixed, Single and Dual-Axis Solar Photovoltaic Systems in Boubyan and Failaka Islands in KuwaitDr. Abdulla AL-RashidiImplementing renewable energy technologies, such as solar energy, is an important step towards meeting the increasing demand for electricity in Kuwait. This would be a very helpful way of minimising the negative environmental impacts of conventional power plants. This study reports on the results of a comprehensive technical, environmental and economic evaluation of the use of a grid-connected solar photovoltaic … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 4 · 9 Nov 2019 · 7,603 accessesView PDFCite
Research ArticleOpen accessIn the abstractInternet of Things and Human Neocortex Inspired Algorithms for the Plant Disease Prediction-Sheath Blight for Paddy PlantThangaraj Ethilu, K. Parthiban, Arockia Jayadhas S et al.Sheath blight disease (Rhizoctonia solani) poses a critical threat to paddy (Oryza sativa) production, causing up to 50% yield losses under conducive environmental conditions. Existing computer vision-based disease detection systems identify infections only after symptom manifestation, while conventional machine learning prediction models suffer from high computational demands, data preprocessing requirements, and noise sensitivity. This research proposes a novel Hierarchical Temporal … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 1,772 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Image Clarity Using Adaptive RegularizationKavya T M, Yogish Naik G RIn many domains such as digital photography, remote sensing, and medical imaging, improving image clarity is essential. It is frequently difficult for traditional methods to strike a balance between preserving significant image details and reducing noise. This work presents a novel method for improving images by utilizing adaptive regularization techniques. In order to effectively reduce noise and preserve fine details, … …Journal of Computer Science, Vol. 21, Issue 9 · 15 Oct 2025 · 2,358 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Evolution Framework for Evaluating Intelligent Spectrum Sensing Mechanisms in Cognitive RadioArchana Krishnamuthy, Sudhindra Kumbhashi RajgopalCognitive radio technology has advanced to address the challenge of limited spectrum availability by employing spectrum sensing techniques. This process is framed as a detection problem involving two core hypotheses: Hypo-0 and Hypo-1. Hypo-0 represents the scenario where only noise is present, and its modeling depends on parameters such as the number of observed samples, the timing of signal acquisition, … …Journal of Computer Science, Vol. 21, Issue 8 · 4 Sep 2025 · 5,807 accessesView PDFCite
Research ArticleOpen accessIn the abstractEconomic Feasibility and Growth Performance of Holstein Friesian Calves Fed Whey-Dangke Fortified Green Calf StarterZyahrul Ramadan, Renny Fatmyah Utamy, Hasbi Hasbi et al.This research evaluated the impact of feeding green calf starter fortified with whey-dangke on Holstein Friesian dairy calves' economic feasibility, growth performance, and health parameters. Experimental diets were applied to 18 Holstein Friesian dairy calves using a randomized complete factorial design with two factors: type of calf starter and level fortification of whey-dangke. The results showed that calves fed different … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 9 Jul 2025 · 3,296 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Data Encryption for Securing HDFS Using DQN-Enhanced Deep Reinforcement Learning TechniquesShivani Awasthi, Narendra KohliIn the era of big data, ensuring the security of large-scale distributed storage systems like the Hadoop Distributed File System (HDFS) is critical. Traditional encryption methods often struggle to balance robust security with system performance, leading to vulnerabilities and inefficiencies. This study presents the design and implementation of an efficient data encryption algorithm for securing HDFS using Deep Q-Network (DQN) … …Journal of Computer Science, Vol. 21, Issue 4 · 4 Mar 2025 · 6,376 accessesView PDFCite