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215 articles for “Time decision”
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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 · 1,769 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 · 5,239 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 · 7,716 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 · 924 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 · 6,933 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 · 7,570 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 · 7,643 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 · 7,186 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordNeural Network in Modeling Malaysian Oil Palm YieldZuhaimy Ismail, Azme KhamisProblem statement: Forecasting of palm oil yield has become an important element in the management of oil palm industry for proper planning and decision making. The importance of yield forecasting has led us to explore modeling of palm oil yield for Malaysia using the most recent development of Artificial Neural Network (ANN). The main issue in yield forecasting is to … …American Journal of Applied Sciences, Vol. 8, Issue 8 · 19 Jul 2011 · 8,581 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Stochastic Knapsack Problem with Continuous Random CapacitySuwitchporn Witchakul, Prapaisri Sudas Na Ayudhaya, Peerayuth CharnsethikulProblem Statement: The problem of allocating a set of items in order to maximize the toal linear profit under uncertain capacity referred as a stochastic knapsack problem with continuous random capacity was studied theoretically and computationally. Approach: Two optimization based heuristic algorithms were proposed and developed for solving the problem and both efficiency and effectiveness are compared with the general … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 6,951 accessesView PDFCite