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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 abstractLocal Binary Pattern for the Evaluation of Surface Quality of Dissimilar Friction Stir Welded Ultrafine Grained 1050 and 6061-T6 Aluminium AlloysAkshansh Mishra, Rajat SarawagiFriction Stir Welding process is an advanced solid-state joining process which finds application in various industries like automobiles, manufacturing, aerospace and railway firms. Input parameters like tool rotational speed, welding speed, axial force and tilt angle govern the quality of Friction Stir Welded joint. Improper selection of these parameters further leads to fabrication of the joint of bad quality resulting … …Journal of Mechatronics and Robotics, Vol. 4, Issue 1 · 27 Jul 2020 · 6,228 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Support Vector Machine based on Metaheuristic Search for Multiclass ProblemsAbdullah Saeed Ghareb, Mohammed Hamid Afif, Abdel-Rahman Hedar et al.Machine learning is an important field of artificial intelligent researches and it highly growing for real intelligent applications systems that relate brain computer interface to human brain activities. Support Vector Machine (SVM) is a popular machine learning approach, which can be used for pattern recognition, prediction and classification with many diverse applications. However, the SVM has many parameters, which have … …Journal of Computer Science, Vol. 16, Issue 7 · 9 Jul 2020 · 6,906 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Machine Learning Approach to Predict Movie Revenue Based on Pre-Released Movie MetadataQuazi Ishtiaque Mahmud, Nuren Zabin Shuchi, Fazle Mohammed Tawsif et al.With the growth of the movie industry, it is becoming increasingly important for the stakeholders to get an idea about the probable profit made by the movie in the box office. In fact, among movies produced between 2000 and 2010 in the United States, only 36% had box office revenues higher than their production budgets, which further highlights the importance … …Journal of Computer Science, Vol. 16, Issue 6 · 10 Jun 2020 · 11,852 accessesView PDFCite
Review ArticleOpen accessIn the abstractEnhancement of GPS Position Accuracy Using Machine Vision and Deep Learning TechniquesAshwani Kumar AggarwalThe accuracy of GPS position estimation in urban cities is an issue which need to be resolved using machine vision and deep learning techniques. The accuracy of GPS in horizontal direction is better than in the vertical direction. Although for most of the navigation applications in intelligent transportation systems, horizontal positioning accuracy is vital, but vertical position accuracy gives idea … …Journal of Computer Science, Vol. 16, Issue 5 · 25 May 2020 · 18,669 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Non-Small Cell Lung Cancer Based on Gene Expression in Cases of Smokers and Non-Smokers using Ensemble Methods with Statistical Based Feature SelectionFhira Nhita, Isman KurniawanLung cancer is one of the leading causes of death globally. One of the main risk factors for lung can ceris smoking, which causes more than 90% of lung cancer cases. There are two types of lung cancer, i.e., Small Cell Lung Cancer (SCLC) and Non-Small Cell Lung Cancer (NSCLC), which the latter is the most common. One method that … …Journal of Computer Science, Vol. 18, Issue 10 · 30 Sep 2022 · 6,093 accessesView PDFCite
Research NotesOpen accessIn the abstractCould the Hybrid form of Lecturing and Active Learning be used as a Curricular Tool for Medical Education of Immunology in Algeria?Kheir Eddine Kerboua, Kamal DjenouhatLecturing has been the predominant mode of instruction since universities were founded in Western Europe over 900 y ago and still the sole method of instruction in the developing countries. However, claiming that adopting a specific new method will have reproducible results regardless the population’s characteristics is simply not possible. In this study, we sought to demonstrate that hybrid form … …American Journal of Immunology, Vol. 15, Issue 1 · 6 Dec 2019 · 7,217 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Deep Learning Libraries: TensorFlow and PyTorchFelipe Florencio, Thiago Valenç, Edward David Moreno, Methanias Colaço JuniorThrough the increase in deep learning study and use, in the last years there was a development of specific libraries for Deep Neural Network (DNN). Each one of these libraries has different performance results and applies different techniques to optimize the implementation of algorithms. Therefore, even though implementing the same algorithm and using different libraries, the performance of their executions … …Journal of Computer Science, Vol. 15, Issue 6 · 11 Apr 2019 · 10,293 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Collaborative Prediction of Presence of Arrhythmia in Human Heart with Electrocardiogram Data using Machine Learning Algorithms with AnalyticsSelvaraj Rajalakshmi, Kuthadi Venu MadhavHuman heart is the major organ of human being which could fail the other systems in the body at the same time. Hence predicting heart disease is one of the challenging researches that requires meticulous analysis of heart rhythms properly. The irregular heart rhythms or beat is referred to as the Arrhythmia where heart rhythms with low or high rates … …Journal of Computer Science, Vol. 15, Issue 2 · 22 Feb 2019 · 7,508 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Classification Models for Predicting Mortality Rate Using Thyroid Cancer DataNorah Saleh AlghamdiMachine Learning (ML) can potentially enhance predictions in real-life domains. This study presents an evaluation and comparison of different ML methods which can be applied on thyroid cancer dataset, called Prostate, Lung, Colorectal and Ovarian (PLCO), of approximately 155,000 participants with thyroid cancer occurrence and mortality incidence. The ML models are explored for predicting mortality rates of patients with thyroid … …Journal of Computer Science, Vol. 15, Issue 1 · 21 Jan 2019 · 7,788 accessesView PDFCite