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49 articles for “Learning Speed”
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Research ArticleOpen accessIn the abstractHMGD: A High-Accuracy Model for Detection and Prediction of Respiratory Genetic DiseasesKamal ElDahshan, Hesham Hefny, Iman Ahmed ElSayedRespiratory genetic diseases are considered a major participant in the reasons of death worldwide nowadays and were one of the major participants in helping in increasing the numbers of COVID-19 patients. It is considered one of the most alarming diseases affecting in particular the respiratory system. The journey of early detection of respiratory genetic diseases is considered to be very … …Journal of Computer Science, Vol. 20, Issue 6 · 30 Mar 2024 · 5,272 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Approaches for the Prediction of Gas Turbine TransientsArnaud Nguembang Fadja, Giuseppe Cota, Francesco Bertasi et al.Gas Turbine (GT) emergency shutdowns can lead to energy production interruption and may also reduce the lifespan of a turbine. In order to remain competitive in the market, it is necessary to improve the reliability and availability of GTs by developing predictive maintenance systems that are able to predict future conditions of GTs within a certain time. Predicting such situations … …Journal of Computer Science, Vol. 20, Issue 5 · 28 Feb 2024 · 7,660 accessesView PDFCite
Review ArticleOpen accessIn the abstractHuman Activity Prediction Studies Using Wearable Sensors and Machine LearningDivya Sharma, Usha ChauhanNowadays, Human Activity Recognition (HAR) systems have become so demanding that they find applications in the field of assisted living systems, elderly healthcare systems, smart homes, healthcare monitoring applications, surveillance systems, etc. Due to its increasing demand in computer science; machine learning and deep learning have brought a paradigm shift in the area of sensor-based recognition systems. Providing accurate information … …Journal of Computer Science, Vol. 20, Issue 4 · 14 Feb 2024 · 7,201 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Intelligent Hybrid Machine Learning Model for Paddy Disease DetectionS. Hrushikesava Raju, S. Adinarayna, U. Sesadri et al.Most countries rely on paddy/rice as a preferred staple crop due to its desirable agronomic characteristics. However, during the growth cycle, undetected or delayed identification of diseases can significantly reduce crop yield. To address this, machine learning approaches are increasingly employed for early-stage disease detection. Traditional Recurrent Neural Networks (RNNs), while useful for sequential data, suffer from limitations such as … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,747 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiformer Attention and ASF-YOLO for Cordyceps Sinensis Target RecognitionRu Yang, Peng Wu, Zhentao QinCordyceps sinensis, a highly valued traditional Chinese medicine, faces challenges in collection due to inefficiencies in manual searching, strenuous labor, and the impact of subjective expertise. The integration of deep learning into Cordyceps sinensis identification is an unexplored area. To alleviate the manual labor and enhance the precision and speed of identifying Cordyceps sinensis, a novel detection approach that combines … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 14 Nov 2024 · 4,543 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Big Data Classifier for Biomedicine Early Diagnosis: An Experimental Approach Using Machine Learning MethodsMa Beth Solas Concepcion, Bobby Dioquino Gerardo, Frank Ibañez Elijorde et al.In the fast-phase world, data availability is abundant due to a rapid adaptation increase of big data technologies. Large amounts of data have been generated and collected at an unprecedented speed and scale, introducing a revolution in medical research practices for biomedicine informatics. Thus, there is an immense demand for statistically rigorous approaches, especially in the medical diagnosis discipline. Therefore, … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 5,510 accessesView PDFCite
Research ArticleOpen accessIn the abstractLT-LBP-Based Spatial Texture Feature Extraction with Deep Learning for X-Ray ImagesPankaja Lakshmi P., Sivagami M.The novel logarithmic transformation of Local Binary Pattern (LT-LBP) for texture feature extraction is used with Deep Learning (DL) models. The Computational complexity in the DL models asymptotically increases with the data sesssst and the depth of the layers in Convolutional Neural Networks (CNN). Pre-processing the images before training the DL model holds a strong impact on the operation speed … …Journal of Computer Science, Vol. 20, Issue 1 · 18 Dec 2023 · 7,190 accessesView PDFCite
Research ArticleOpen accessIn the abstractCybersecurity Mechanism for Automatic Detection of IoT Intrusions Using Machine LearningCheikhane Seyed, MBaye Kebe, Mohamed El Moustapha El Arby et al.This article proposes an ML-based cyber security mechanism to optimize intrusion detection that attacks internet objects (IoT). Our approach consists of bringing together several learning methods namely supervised learning, unsupervised learning and reinforcement learning within the same Canvas. The objective is to choose among them the most optimal for classifying and predicting attacks while minimizing the impact linked to the … …Journal of Computer Science, Vol. 20, Issue 1 · 11 Dec 2023 · 6,176 accessesView PDFCite
Research ArticleOpen accessIn the abstractPanoramic Video Surveillance: An Analysis of Burglary Detection Based on YOLO Framework in Residential AreasPavithra S, B. MurugananthamArtificial Intelligence (AI) is a technique that incorporates human intelligence into mundane activities. And there is no question that AI is significantly affecting security and surveillance. Although relying on numerous resources, finding answers, and implementing technology for decades, our security and surveillance systems still have flaws. In every country around the globe, the use of video security and surveillance is … …Journal of Computer Science, Vol. 19, Issue 11 · 2 Oct 2023 · 6,040 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Learning Platform for Computer Numerical Control (CNC) LaboratoryCharinee Chaichana, Seetala Wongkalasin, Apichat SanrutsadakornInformation Technology has played a major role in education. Rajamangala University of Technology, Isan Sakonakhon Campus, is committed to promoting a 21st Century education. For example, the university provides an environment that supports this development by integrating the use of Computer Numerical Control (CNC) in teaching practices. The model of CNC machines used in teaching and learning is outdated though, … …Journal of Computer Science, Vol. 18, Issue 8 · 4 Aug 2022 · 6,951 accessesView PDFCite