Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

265 results for “Conventional System”
Set a search alert
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 · 1,694 accessesView PDFCite
Research ArticleOpen accessIn the abstractTomato Leaf Disease Detection by Hybrid Ai and Ml TechnologyP. Loganathan, M. John Britto, Vinston RajaDiseases that affect plants contribute to productivity decline, but they can be managed with ongoing monitoring. It is time-consuming and prone to error to track plant diseases manually. Early disease detection using Artificial Intelligence (AI) and machine vision can lessen negative impacts while also overcoming some of the limitations of continuous human monitoring. Therefore, this study uses both Deep Learning … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,881 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Lightweight and Privacy-Preserving Biometric Authentication Framework for Sustainable IoMT SystemsSaima Anwar Lashari, Mahmood A. Al-Shareeda et al.Biometric authentication provides secure, identity-bound access control for the Internet of Medical Things (IoMT), crucial for wearable, implantable, and ambient devices. However, the inherent immutability and sensitivity of biometric data pose severe privacy risks in the event of a breach. Furthermore, conventional public-key cryptography is often too computationally intensive for resource-constrained IoMT hardware. To address these challenges, this paper proposes … …Journal of Computer Science, Vol. 22, Issue 1 · 9 Feb 2026 · 1,924 accessesView PDFCite
Research ArticleOpen accessIn the abstractConversion of a Conventional Vehicle into a Battery-Super Capacitor Hybrid VehicleAnuradha Herath, Pasan Gunawardena, Vimukthi Randeny et al.The use of a super capacitor pack parallel with a battery pack in electric vehicles can have effects on the battery life as well as on the driving range of the vehicle. In this research a conventional IC engine vehicle was converted into a motor driven electric vehicle. The converted vehicle was tested on a drive cycle defined to match … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 3 · 11 Oct 2018 · 7,705 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 abstractEfficiency of Hybrid MPPT Techniques Based on ANN and PSO for Photovoltaic Systems under Partially Shading ConditionsMax Tatsuhiko Mitsuya, Anderson Alvarenga de Moura MenesesHybrid Maximum Power Point Tracking (MPPT) algorithms have been investigated as an alternative to improve the performance of conventional MPPT, such as Perturb and Observe (P&O), Incremental Conductance (InC) and Hill Climbing (HC) in Photovoltaic (PV) systems under Partially Shading Co+ndition (PSC). In the present article, Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) hybridized with P&O algorithm for … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 4 · 3 Oct 2019 · 8,888 accessesView PDFCite
Review ArticleOpen accessIn the abstractMasked Face Identification and Tracking Using Deep Learning: A ReviewShahad Fadhil Abbas, Shaimaa Hameed Shaker, Firas A. AbdullatifFacial recognition systems are becoming more prevalent in our daily lives. Based on artificial intelligence, computers play a very important role in the issue of identifying and tracking. This technology is mostly used for security and law enforcement. In view of the COVID-19 pandemic, government directives have been issued to citizens to wear medical masks in crowded institutions and places, … …Journal of Computer Science, Vol. 19, Issue 12 · 28 Oct 2023 · 5,851 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 abstractRefining Chest X-ray Interpretation with Deep Transfer Learning TechniquesR. Sriramkumar, K. Selvakumar, J. JeganChest X-rays are essential diagnostic tools for thoracic diseases, but different doctors' interpretations can differ greatly, which frequently results in inconsistent diagnoses. By using deep transfer learning techniques, this study seeks to improve the accuracy of Chest X-ray interpretations. More accurate and effective analysis can be accomplished with the growing potential of artificial intelligence (AI) in medical imaging, especially through … …Journal of Computer Science, Vol. 21, Issue 10 · 27 Nov 2025 · 2,644 accessesView PDFCite
Research ArticleOpen accessIn the abstractMolecular Identification of Domestic and Wild Boars Using Cytochrome-b Specific Primers for Halal AuthenticationRifqi, Edi Suryanto, Ari Surya Sukarno et al.The subject of adulterating wild boar and pig meat products with other animal meat is delicate, particularly in the Muslim nation of Indonesia. In recent years, there has been a lot of concern over halal meat products that contain wild boar and pig meat due to Economically Motivated Adulteration (EMA). However, there are limited studies of PCR-DNA-based to discriminate between … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 3 · 14 Nov 2025 · 2,378 accessesView PDFCite