273 articles for “Conventional Method”

Review ArticleOpen accessIn the abstractHydroponic Fodder in Broiler Nutrition: Effects on Economics of Production, Environmental Impacts, Productive Indices, and Health StatusChristian Anayo Mbajiorgu, Ifeanyichukwu Princewill Ogbuewu, Monnye MabelebeleThe projected global population of 9.7 billion by 2050 will escalate the demand for animal protein, intensifying food insecurity. Broilers, being highly efficient in converting grains into protein-rich food, are crucial in meeting the ever-increasing demand for animal proteins. However, broiler production, especially in developing countries, is constrained by low quality and unavailability of conventional feed grains utilized in poultry … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 1 · 14 Apr 2026 · 1,701 accessesView PDF Cite

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 · 1,354 accessesView PDF Cite

Research ArticleOpen accessIn the abstractHybrid Deep Learning for Kidney Stone Detection in CT Scans With Noise Reduction and Feature EnhancementU. M. Fernandes Dimlo, Sreenu Banoth, Priti Bihade et al.The identification of kidney stones using CT scans is an essential but difficult effort in medical diagnostics, frequently obstructed by imaging noise and the complexity of manual interpretation. Although conventional methods are widely used, they suffer from inaccuracies and inefficiencies, necessitating the development of automated diagnostic solutions. This study tackles these issues by presenting HDCNRNet, a hybrid deep learning network … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 2,174 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Multi-Modal Image Fusion Approach for Visual and Infrared Images via Shearlet-Based DecompositionApoorav Sharma, Shagun Sharma, Kalpna Guleria et al.The integration of optical lens technologies with night vision has become necessary due to the increasing demand to enhance public safety and surveillance, particularly in vulnerable areas, public transportation, and airports. Due to vision clarity issues or the lack of thermal information, conventional single-modality systems often fail to detect concealed dangers. This research presents a multimodal image fusion architecture that … …Journal of Computer Science, Vol. 22, Issue 1 · 2 Feb 2026 · 1,906 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCuckoo Search Optimized Random Forest for Breast Cancer PrognosisPrasad S. Sase, Debabrata Swain, Shailesh KumarBreast cancer remains a major global health concern due to its high mortality rate, particularly when diagnosis occurs at an advanced stage. Accurate and early differentiation between benign and malignant tumors is therefore critical for improving patient outcomes. Conventional diagnostic practices largely depend on manual assessment and clinical expertise, which may lead to subjective variability in decision-making. To overcome this … …Journal of Computer Science, Vol. 22, Issue 1 · 31 Jan 2026 · 2,107 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAn Adaptive Thresholding Algorithm-Based Optical Character Recognition System for Information Extraction in Complex ImagesDaniel Akinbade, Adewale Opeoluwa Ogunde, Mba Obasi Odim, Bosede Oyenike OguntundeExtracting texts from images with complex backgrounds is a major challenge today. Many existing Optical Character Recognition (OCR) systems could not handle this problem. As reported in the literature, some existing methods that can handle the problem still encounter major difficulties with extracting texts from images with sharp varying contours, touching word and skewed words from scanned documents and images … …Journal of Computer Science, Vol. 16, Issue 6 · 14 Jun 2020 · 8,473 accessesView PDF Cite

Research ArticleOpen accessIn the abstractApplication of Morphological Component Analysis to Optical Image FusionGeorges Laussane Loum, Atiampo Kodjo Armand, Pandry Koffi Ghislain, Souleymane OumtanagaThe image fusion technique is widely used in remote sensing. Its purpose is to provide comprehensive information without arte facts by combining the partial information from different source images. In this study, we propose a new model of images fusion with very high spatial resolution. We use the separation capacities of the Morphological Component Analysis (MCA) to extract the smooth … …American Journal of Applied Sciences, Vol. 14, Issue 8 · 11 Aug 2017 · 7,731 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPerturbation Iteration Transform Method for the Solution of Newell-Whitehead-Segel Model EquationsGrace O. Akinlabi, Sunday O. EdekiIn this study, a computational method referred to as Perturbation Iteration Transform Method (PITM), which is a combination of the conventional Laplace Transform Method (LTM) and the Perturbation Iteration Algorithm (PIA) is applied for the solution of Newell-Whitehead-Segel Equations (NWSEs). Three unique examples are considered and the results obtained are compared with their exact solutions graphically. Also, the results agree … …Journal of Mathematics and Statistics, Vol. 13, Issue 1 · 20 Feb 2017 · 6,993 accessesView PDF Cite

Research ArticleOpen accessIn the abstractHybrid Block Method for Direct Numerical Approximation of Second Order Initial Value Problems Using Taylor Series ExpansionsOluwaseun Adeyeye, Zurni OmarIn this article, a hybrid block method is utilized for the numerical approximation of second order Initial Value Problems (IVPs). The rigor of reduction to a system of first order initial value problems is bypassed as the hybrid block method directly solves the second order IVPs. Likewise, the methodology utilized also avoids the cumbersome steps involved in the widely adopted … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 17 Feb 2017 · 7,956 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Drug-Target Interaction Prediction Based on Supervised Probabilistic ClassificationManmohan Singh, Susheel Kumar Tiwari, G. Swapna et al.Bayesian ranking-based drug-target relationship prediction has achieved good results, but it ignores the relationship between drugs of the same target. A new method is proposed for drug-target relationship prediction based on groups by Appling Bayesian. According to the reality that drugs interacting with a specific target have similarities, a grouping strategy was introduced to make these similar drugs interact. A … …Journal of Computer Science, Vol. 19, Issue 10 · 1 Sep 2023 · 5,463 accessesView PDF Cite