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117 results for “Machine Learning Application”
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Research ArticleOpen accessEvery word in the titleData Streams Curation for Better Machine Learning Functionality and Result to Serve IoT and other Applications: A SurveyHaya Salah, Islam Al-Omari, Jaber Alwidian et al.Data Curation on data streams is effective in operating and reducing costs of BIG DATA analytic. Basically, analytic preparation requires data curation of available heterogeneous data sets available in big data clusters and such analytic process becomes harder when it comes to the concept of conducting the curation process on Data-on-Motion, in order to come at actionable insights and valuable … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 8,722 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleApplications of Machine Learning in Building Energy Prediction and SavingsPriyan Rai, Dr. Nabil Nassif, Kevin Eaton, Alexander RodriguesIn a constantly advancing world with growing needs, buildings play in important role in the daily functioning of the society. Developing more and more advanced techniques to optimize the working of these buildings is highly important for a constant growth. Modern computational techniques have opened doors to create advanced models that can utilize efficient techniques to produce highly accurate results. … …Energy Research Journal, Vol. 10, Issue 1 · 15 Mar 2019 · 8,038 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Survey on Recent Applications of Machine Learning with Big Data in Additive Manufacturing IndustryMicheal Omotayo Alabi, Ken Nixon, Ionel BotefAdditive Manufacturing (AM) which is also known as 3D printing technology; is recognized as a new paradigm for manufacturing industry. Additive manufacturing is rapidly expanding across different sectors such as healthcare, electronics, automotive, science and engineering, education, dental, etc. Machine Learning and Big Data are both emerging technologies which are becoming popular and gaining more attention from the industries and … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 3 · 14 Jul 2018 · 10,279 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleApplication of Machine Learning for the Detection of Depression and Mindfulness as a Mitigation MethodSantiago Domingo Moquillaza Henriquez, Liliana Ruth Huamán Rondón et al.Depression is a global mental health problem with various causes. Nowadays, with Artificial Intelligence, it can be predicted in order to take preventive measures, whether at a psychotherapeutic or pharmacological level. This research, based on a survey conducted, detects depression using logistic regression with a 91% fit to the ROC-AUC model, accuracy of 0.839188, precision 0.851354. In addition, a study … …Journal of Computer Science, Vol. 22, Issue 6 · 16 Jun 2026 · 1,216 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnhancing SQL Injection Detection: A Machine Learning Approach Using Network Flow DataP. Vinoth, K. Muthamil Sudar, S. MuthukumarBackground: SQL injection is one of the cyberattacks which occurs in web application vulnerabilities. It targets the poor input validation and enables the attackers to inject malicious queries into the database fields in any application. It will grant access to unauthorized users and data modification, or they will take control over the complete database. To prevent this, there are several … …Journal of Computer Science, Vol. 22, Issue 8 · 18 Aug 2026 · 1,051 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHuman-Centric Design Integration in UAV Interfaces and Operational Procedures for Enhanced User ExperienceArun Chakravarthy R., Arun M., Sureshkumar C. et al.Unmanned Aerial Vehicles (UAVs) have become essential tools across numerous sectors, including agriculture, disaster response, search and rescue and logistics. While UAV capabilities have rapidly evolved due to technological advancements, the integration of human-centric design principles remains a key area for further improvement. This article provides an in-depth exploration of how user-focused design considerations can enhance UAV interfaces and operational … …Journal of Computer Science, Vol. 21, Issue 4 · 3 Mar 2025 · 5,237 accessesView PDFCite
Research ArticleOpen accessIn the keywordsToward Intelligent Evaluation of Digital Public Services: Evidence from Indonesia’s SIM Online PlatformEvaristus Didik Madyatmadja, Ricky Kosasih, Najla Aurelia Evanthe et al.This investigation examines more than 65,000 user evaluations from the Google Play Store concerning sentiment toward the Digital Korlantas POLRI application. Reviews were systematically processed and categorized through Naïve Bayes, Support Vector Machine, and Random Forest classifiers, thereby highlighting the perceived strengths and weaknesses of the platform. Among the tested models, Naïve Bayes outperformed the others, yielding the greatest accuracy, … …Journal of Computer Science, Vol. 22, Issue 6 · 15 Jun 2026 · 1,345 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHybrid Deep Learning Models for Text Classification: Performance Evaluation of TriDistilBERT and BiGRU ArchitecturesAmira Samy TalaatText can be a valuable source of information, but its unstructured nature makes analysis challenging and time-consuming. Machine Learning (ML) algorithms can efficiently analyze and structure text, enabling organizations to automate processes and uncover insights that support better decision-making. This study focuses on applying ML to a classification problem using two datasets. Four deep learning models are introduced, combining Bi … …Journal of Computer Science, Vol. 21, Issue 9 · 10 Oct 2025 · 2,792 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Use of Biosensors to Analyse a Soldier’s Stress LevelJosé Miguel Martinho Silva, Ricardo A. Marques Lameirinhas et al.Currently and increasingly, biosensors are present in our daily lives, even if tendentiously and imperceptibly. As such and given their importance, the scientific community is clearly interested in making progress in this research field. This study is part of the study of biosensors using pre-gelled electrodes and was focused on the analysis of the ability to extract information on the … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 2 · 1 Mar 2024 · 4,972 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeveraging Modified Cascaded Fully Convolutional Neural Networks and Optimized Swin U-Net for Liver Lesion PredictionSugandha Chakraverti, Tejaswi Khanna, Vijay ShuklaLiver lesions are abnormal growths that can develop for various reasons, some of which are noncancerous (benign) while others are cancerous. Machine learning and, deep learning techniques are employed for liver health assessment and lesion detection, but the quality and, diversity of training data can hinder the performance, leading to overfitting or underfitting. These models often need extensive pre-processing and … …Journal of Computer Science, Vol. 22, Issue 10 · 8 Oct 2026 · 372 accessesView PDFCite