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85 results for “Applied Machine Learning”
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Research ArticleOpen accessIn the abstractClassification of Thoracic X-Ray Images of COVID-19 Patients Using the Convolutional Neutral Network (CNN) MethodRamacos Fardela, Dian Milvita, Mawanda Almuhayar et al.Recently, radiology modalities have been widely used to detect COVID-19. Thoracic X-rays and CT scans are the primary radiological tools utilized in the diagnosis and treatment of individuals with COVID-19. In addition, chest CT scans are more accurate and sensitive in early COVID-19 identification. A new problem arises in diagnosing the results of CT scan images of COVID-19 by radiologists … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 5,753 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoft Marking Scheme of SVM Hierarchical Classifiers for Attack ClassificationAzizi Abdullah, Warhamni Jani@MokhtarClassification is a predictive modelling problem that involves assigning a class label to an instance correctly. There exist several strategies in machine learning to deal with the multi-class classification problems for attack detection. One of the popular strategies is the one-vs-one that decomposes the multi-class problem into multiple binary ones. The approach has been applied in many popular supervised learning … …Journal of Computer Science, Vol. 17, Issue 9 · 27 Sep 2021 · 6,000 accessesView PDFCite
Research ArticleOpen accessIn the abstractBionic Technology and Deep Learning in Agricultural Engineering: Current Status and Future ProspectsChunlei Tu, Jinxia Li, Xingsong Wang et al.As one of the most important production activity of mankind, agriculture plays an important role in social development. With the development of science and technology, agricultural technology has constantly been explored and researched. By learning and imitating the characteristics of creatures in nature, bionic technology has been applied to the improvement of agricultural machinery and farm implements. In recent years, … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 2 · 24 May 2021 · 6,989 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Data Mining Classifiers on Sunflower Edible Oil Bleaching Process: A Comprehensive Comparative AnalysisÖmer Nedim Kenger, Eren ÖzceylanSunflower oil is widely used as edible oil. It is commonly extracted by solvent extraction method from the sunflower seed. After extraction, crude sunflower oil is obtained. Crude sunflower oil has some undesirable impurities and dark colors. These impurities and dark colors require removal. The bleaching process is applied to remove the color. The bleaching earth is used in the … …Journal of Computer Science, Vol. 17, Issue 4 · 30 Apr 2021 · 6,943 accessesView PDFCite
Review ArticleOpen accessIn the abstractToward an Online DoS/DDoS Classification: An Empirical Study for Network Intrusion Detection SystemsTran Hoang Hai, Nguyen Trong Khiem, Nguyen Huu PhucIn recent years, Distributed Denial of Services (DDoS) attacks have caused significant losses to industry and government due to an increasing number of devices connected to the Internet. These devices use services-over-Internet more frequently with services characterized and provided seamlessly by 5G, Cloud and Edge Computing. According to Cisco Annual Internet Report, the frequency of DoS/DDoS attacks has increased more … …Journal of Computer Science, Vol. 17, Issue 3 · 30 Mar 2021 · 6,972 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Time Series Forecasting for the Cumulative Confirmed and Critical Cases of the Covid-19 Pandemic in Saudi Arabia using Autoregressive Integrated Moving Average (ARIMA) ModelSamer H. Atawneh, Osamah A.M. Ghaleb, Ahmad MohdAziz Hussein et al.Reviews at present, different machine learning techniques and algorithms have been applied for predicting significant factors of the Coronavirus Disease-2019 (COVID-19) such as the outbreak and diagnosis. In this study, the most accurate time series forecasting model, namely, the Autoregressive Integrated Moving Average (ARIMA) model is used to forecast the expected cumulative number of confirmed and critical cases in Saudi … …Journal of Computer Science, Vol. 16, Issue 9 · 30 Sep 2020 · 7,596 accessesView PDFCite
Research ArticleOpen accessIn the abstractSupervised Machine Learning Model-Based Approach for Performance Prediction of StudentsAbdul Razaque, Abrar M. AlajlanPredicting students’ performance is one of the crucial issue for learning contexts, since it helps to develop alternative recommendation systems for academically weak students. Thus, several methods and practices have been applied for educational improvement. However, most of the existing methods do not determine the performance of the students. In this study, we have studied the execution of six machine … …Journal of Computer Science, Vol. 16, Issue 8 · 28 Aug 2020 · 7,082 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Approach for Defects Identification in Dissimilar Friction Stir Welded Aluminium Alloys AA 7075-AA 1100 JointsAkshansh MishraMachine learning approaches are now applied in various manufacturing industries. Various machine learning algorithms can be implemented for prediction of the particular mechanical properties like Ultimate Tensile Strength (UTS), Elongation percentage and fracture strength of the given mechanical component and also image processing algorithms can be applied for defects detection in the mechanical components. In our recent work, we have … …Journal of Aircraft and Spacecraft Technology, Vol. 4, Issue 1 · 1 Jul 2020 · 6,701 accessesView PDFCite
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 · 8,470 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