236 results for “correlation based”

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Research ArticleOpen accessIn the abstractComparison of Multivariate Adaptive Regression Splines and Classification Regression Tree for Prediction of Body Weight of Bapedi SheepMadumetja Cyril Mathapo, Ramaisela Barley Mthembu, Albino Joas Tsenane et al.The study aimed to compare the performance of multiple adaptive regression splines and classification regression trees for the prediction of the body weight of Bapedi sheep. A total of 100 Bapedi sheep aged between one and five years old of different sexes were employed. The study measured the following: Body Length (BL), Withers Height (WH), Heart Girth (HG), Rump Height … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 3 · 12 Jul 2024 · 5,184 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMachine Learning Oceanographic Data for Prediction of the Potential of Marine ResourcesDenny Arbahri, Oky Dwi Nurhayati, Imam MuditaMarine data and information are very important for human survival, therefore this data and information is attractive to investors because of the potential economic value. This data and information has been difficult to obtain, the solution to overcome this is by analyzing oceanographic data for 2009-2019 collected from the marine database belonging to the Agency for the Study and Application … …Journal of Computer Science, Vol. 20, Issue 2 · 8 Jan 2024 · 5,970 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMechanism of Mulberry's Effect on Intestinal Flora and MotilityHuizhen Zhao, Shijing Xie, Yuwen Li et al.Studies have indicated that mulberry consumption promotes intestinal motility and alleviates constipation, but the specific mechanism remains unclear. This study adopted a constipation mouse model to empirically analyze the effects of mulberry on intestinal motility, gut microbiota composition, and neurotransmitter levels, aiming to elucidate its mechanism of action. Key findings are as follows: 1) Compared with the model group, the … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 2 Jul 2026 · 1,189 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMultiple Linear Regression to Predict Electrical Energy Consumption Based on Meteorological Data: Application to Some Sites Supplied by the CEB in TogoApaloo Bara Komla Kpomonè et al.The prediction model developed in this article is based on the use of meteorological variables to estimate the consumption of electrical energy at the substations of the Electric Community of Benin. The objective is to predict this consumption in order to adapt production to it. The posts (Lomé Aflao, Légbasito, and Lomé port) are the targets that were used in … …American Journal of Applied Sciences, Vol. 21, Issue 1 · 10 Jun 2024 · 5,785 accessesView PDF Cite

Research ArticleOpen accessIn the abstractTetrastigma hemsleyanum Diels et Gilg Roots from Different Origins: Pharmacognostical Identification, Content Determination of Functional Composition and in vitro Antioxidant ActivityGuang Mei Li, Jian Ge, Yongli Zheng et al.Tetrastigma hemsleyanum Diels et Gilg (T. hemsleyanum) is a unique and rare Chinese medicinal herb mainly distributed in the south of the Yangtze River in China. In the present study, T. hemsleyanum roots from seven different sites in the south of the Yangtze River (Guangxi [Baise, Guilin, and Hechi], Hunan [Fenghuang], and Zhejiang [Hangzhou, Taizhou, and Wenzhou] provinces) were collected, … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 1 · 23 Feb 2023 · 5,722 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAI-Based Feature Extraction Approaches for Dual Modalities of Autism Spectrum Disorder NeuroimagesMeenakshi Malviya, Chandra J, Nagendra NHigh-dimensional data, lower detection accuracy, susceptibility to manual errors, and the requirement of clinical experts are some drawbacks of conventional classification models available for Autism Spectrum Disorder (ASD) detection. To address these challenges and explore the affiliated information from advanced imaging modalities such as Magnetic Resonance Imaging (MRI) in structural MRI (sMRI) and resting state-functional MRI (rs-fMRI), the study applied … …Journal of Computer Science, Vol. 20, Issue 11 · 28 Sep 2024 · 5,087 accessesView PDF Cite

Research ArticleOpen accessIn the abstractStrengthening Image Security with Unimodular Hill Cipher and Advanced Encryption StandardSamsul Arifin, Dwi Wijonarko, Monica Mayeni Manurung et al.Digital data security has become increasingly important with the growth of digital image usage, which often contains sensitive information. This study aims to enhance the security of digital images by combining Unimodular Hill Cipher (UHC) and Advanced Encryption Standard (AES) methods. UHC, a matrix-based symmetric encryption algorithm, is used for image matrix encryption, while AES provides an additional layer of … …Journal of Computer Science, Vol. 21, Issue 5 · 22 Apr 2025 · 5,408 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCattle Raising Practices in North-West CambodiaSophany Morm, Koemseang Nhuong, Vibol Peuo et al.We aimed to assess current cattle farming practices in northwest Cambodia in terms of economy, practical management, productivity, and sustainability. The study sites were selected in four provinces (Pursat, Battambang, Pailin, and Banteay Meanchey) with 316 cattle livestock farmers interviewed as representative samples using systematic sampling. A stratified sampling method was utilized. Data were analyzed and descriptive statistics was used … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 4 · 7 Dec 2024 · 6,320 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDefect Classification of Reinforced Concrete Structures with Nondestructive Tests Using Statistical and Machine Learning MethodsSajjad Sayyar-Roudsari, Armaghan Shalbaftabar, Farshid Damirchilo et al.In this study, twelve reinforced concrete beams were constructed, each with specified dimensions and initial compressive strength. The beams were divided into four groups: A control group without any defect, a void group featuring a centrally located void, a corrosion group and a debonding group. The impact echo test was used for nondestructive testing, gathering data on compressive and shear … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 3 · 11 Jun 2024 · 5,258 accessesView PDF Cite