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Research ArticleOpen accessIn the abstractMountain Sheep: An Environmental Epidemiological Survey of Variation in Metal Exposure and Physiological Biomarkers Following Mine DevelopmentLawrence K. Duffy, Michael W. Oehler, R. Terry Bowyer, Vernon C. BleichProblem Statement: Anthropogenic activities, such as mining and industrial operations, are a major environmental source of metal exposure for wildlife. Quantitative data regarding biochemical effects of exposure to mineral extraction on mountain sheep, Ovis canadensis, are limited, although their habitats are becoming increasingly affected by expanded resource development. Decisions relating to environmental protection and wildlife conservation should be based on … …American Journal of Environmental Sciences, Vol. 5, Issue 3 · 30 Jun 2009 · 6,654 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordComparative Analysis of Fraud Detection Methods in Banking Using Machine Learning TechniquesYoussef Tounsi, Ennouri TaziFraud detection in banking requires algorithms that balance classification performance, computational efficiency, and regulatory interpretability, criteria that are rarely benchmarked together. We present a comprehensive evaluation of nine machine learning approaches (Logistic Regression, Decision Tree, Random Forest, SVM, SGD, XGBoost, CatBoost, LightGBM, and MLP) across three datasets differing in size, imbalance severity, and feature type (synthetic, real-world PCA-anonymized, and large-scale … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,341 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSmart and Secure Anomaly Detection in IoT Using Quantum Inspired Kernel Ensemble LearningAbrar M. AlajlanThe exponential growth of the Internet of Things networks has greatly increased the attack surface for cyber threats, necessitating the use of strong and perceptive anomaly detection systems. Traditional intrusion detection systems often struggle with high false alarm rates, limited generalization, and inefficiency in processing high-dimensional heterogeneous IoT data. To address this issue, a novel Hybrid Quantum-Enhanced Kernel Ensemble Learning … …Journal of Computer Science, Vol. 22, Issue 3 · 12 Mar 2026 · 1,762 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIntelliHealth: A Machine Learning Driven Disease Detectionand Diet recommendation SystemAnkita Wadhwan, Priyanka Chawla, Sandeep Kaur, Usha MittalPeople all around the world are afflicted with various ailments. An accurate diagnosis can lower the risk of significant health problems developing, but an inaccurate diagnosis could have adverse implications. In this study, an ensemble-based strategy "IntelliHealth" has been presented to identify disorders of the thyroid, liver, and breast cancer using three machine learning (ML) approaches consisting of Support Vector … …Journal of Computer Science, Vol. 21, Issue 6 · 28 May 2025 · 5,226 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Novel Weighted Integral Energy Functional (WIEF) Algorithm: Augmented Reality (AR) for Visualising the Blood Vessels in Breast Implant SurgeriesTaranjit Kaur, Abeer Alsadoon, Paul Manoranjan et al.The use of Augmented Reality (AR) for visualising blood vessels in surgery is still at the experimental stage and has not been implemented due to limitations in terms of accuracy and processing time. The AR also hasn't applied in breast surgeries yet. As there is a need for a plastic surgeon to see the blood vessels before he cuts the … …American Journal of Applied Sciences, Vol. 15, Issue 9 · 7 Nov 2018 · 7,710 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Machine Learning-Based Sentiment Analysis of Article 370 Tweets to Support Government Policy DecisionsSubhasis Mohapatra, Sudhir Kumar Mohapatra, Sweta Samantaray et al.This study proposes a robust sentiment analysis framework to evaluate public opinion on the abrogation of Article 370 using Twitter data. The methodology begins with tweet collection through the Twitter API, followed by systematic preprocessing. Sentiment labels were generated using the Text Blob lexicon-based polarity scoring approach to facilitate the construction of a large-scale sentiment dataset. Features are extracted, and … …Journal of Computer Science, Vol. 22, Issue 6 · 2 Jul 2026 · 914 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDynamic Distributed Intrusion Detection System Based on Mobile Agents with Fault ToleranceR. Sasikumar, D. ManjulaProblem statement: In earlier days, each and every individual system has particular IDS to the particular system and due to this particular technique there are many drawbacks and much more drawbacks in the system side networks. “All processes used in discovery of unauthorized uses of network or computer devices” Detection of unusual and abnormal activity/events in real-time. Detects break-ins or … …Journal of Computer Science, Vol. 8, Issue 7 · 26 May 2012 · 6,929 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFuzzy Logic Decision Support System for Hypovigilance Detection based on CNN Feature Extractor and WN ClassifierInes Teyeb, Ahmed Snoun, Olfa Jemai, Mourad ZaiedFatigue and drowsiness are among the main causes of traffic accidents, just behind excessive speed and alcoholism. This paper deals with the problem of road safety. It attempts to present a driver vigilance monitoring system based on a video approach. This work aims at creating an assistive driving application employing eyes closure duration and head posture estimation as performant signs … …Journal of Computer Science, Vol. 14, Issue 11 · 22 Nov 2018 · 7,565 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA VAR Model for Forecasting Land Market Value in USALei WangForecasts of the future tendency of economic variables such as GDP, inflation rate and unemployment rate, arise many interests from business and government. Also, Modeling the land market at the national level can capture rich dynamic presenting in interdependent economies. In this paper, we studied a Vector Auto-regression (VAR) of Land Market Value and five US macroeconomic variables. We employed … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 1 Jan 2018 · 7,639 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordThe Influence of Theme as Slot Machine Attribute on Casino Gamers Decision-MakingElizma Wannenburg, Tonie Drotsky, Johan De JagerWhen entering the casino gaming area, gamers are faced with hundreds of slot machines that vary in terms of themes, colours and sounds. Some gaming situations are characterized by low gamer involvement, but with considerable brand differences. Gamers visiting a casino have the option to play on various types of slot machines. Slot machine games range from single-bar to triple-bar … …American Journal of Applied Sciences, Vol. 10, Issue 7 · 2 Jul 2013 · 7,181 accessesView PDFCite