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418 results for “RAS”

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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 abstractThe Impact of Road Opening on Vegetation Damage in the Bukit Barisan Forest Park Protected Forest in IndonesiaBudi Utomo, Bungaran Johanes Tambunan, Rizky Wahyudi et al.Road opening on the Medan-Berastagi alternative route will begin in 2023 with a track length of approximately 55.87 km. The aim of this study was to analyze land cover in forest areas and recommend plants around the opening of the Medan-Berastagi alternative route, Kutalimbaru District. Data processing and retrieval was carried out in November 2023-January 2024. Calculation of the 2018 … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 10 Feb 2025 · 4,013 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating the Impact of Topography on Flooding in Owerri North, Imo State, Nigeria Using GIS and Remote Sensing TechniquesSylvanus Ibeabuchi IroThe aim of this study is to analyze the topographical contribution to floods in Owerri, North Imo State, Nigeria. Research was carried out to ascertain whether topographical elements played a role in the flooding in specific areas of Owerri North. As a result, very little research has looked at the effects of topography on flooding. Thus, there is a barrier … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 29 Jan 2025 · 7,197 accessesView PDFCite
Review ArticleOpen accessIn the abstractInsulin-Like Growth Factor 1 Gene and Growth Traits Correlations in Sheep: A Systematic ReviewThabang Sako, Thobela Lousi Tyasi, Jones Ng’ambiAbousoliman, I., Reyer, H., Oster, M., Muráni, E., Mourad, M., Abdel-Salam Rashed, M., Mohamed, I., & Wimmers, K. (2020). Analysis of Candidate Genes for Growth and Milk Performance Traits in the Egyptian Barki Sheep. Animals, 10(2), 197. https://doi.org/10.3390/ani10020197 Al Qasimi, R., Hassan, A., & Khudair, B. Y. (2019). Effect of IGF-1 and GH Genes Polymorphism on Weights and Body Measurements … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 2 · 25 May 2024 · 5,755 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Terrain Classification with a Bayesian Hyperparameter Optimized Deep Supervised Autoencoder ModelTiny Du Toit, Hennie Kruger, Annette Van Der MerweTerrain classification according to specific terrain attributes, has become increasingly important in certain decision-making scenarios. Automated robots are often utilized to traverse a specific surface to collect data that can be used in classification models to identify a specific terrain. In this study, a supervised autoencoder model (i.e., an autoencoder combined with a supervised learner such as a multilayer perceptron) … …Journal of Computer Science, Vol. 19, Issue 9 · 31 Aug 2023 · 5,019 accessesView PDFCite
Research ArticleOpen accessIn the abstractFine-Tuned MobileNet Classifier for Classification of Strawberry and Cherry Fruit TypesVenkatesh, Nagaraju Yallappa, Siddhanth Udayashankar Hegde, Sangeetha Raj StalinThis paper proposed an accurate, fast and reliable strawberry, cherry fruit detection and classification system for the automated strawberry cherry yield estimation. State-of-the-art deep learning-based fine-tuned MobileNet Convolutional Neural Network is developed to detect and classify strawberry and cherry fruit types in the outdoor field. The proposed CNN model is trained on 4250 strawberry fruit images, 3878 Cherry fruit images … …Journal of Computer Science, Vol. 17, Issue 1 · 20 Jan 2021 · 7,953 accessesView PDFCite