Research ArticleOpen accessIn the keywordsThe Artificial Neural Network Based Approach for Mortality Structure AnalysisSokolova M. Kursk, Rashad J. Rasras, D. SkopinThe theoretical outcomes and experimental results of applying of Artificial Neural Networks towards mortality structure examination in Russian Federation are presented in the paper. The most influencing classes of diseases are selected by sensitivity analysis. It is proved that Neural Network Models appear to be an adequate tool for mortality structure examination. Some interesting results for males and females total … …American Journal of Applied Sciences, Vol. 3, Issue 2 · 28 Sep 2006 · 7,056 accessesView PDFCite
Research ArticleOpen accessIn the keywordsScenarios Analysis of Tourism DestinationsAnastasios Michailidis, Fotis ChatzitheodoridisThis study describes a multi-criteria decision-making framework employed to evaluate and rank three tourism destinations, located in the northern and central Greece. Additionally, innovatory elements are the incorporation of differing levels of socioeconomic data (destination image and destination personality) within the decision framework and the direct determination of the PROMETHEE II preference thresholds. The developed methodology provides a user-friendly approach, … …Journal of Social Sciences, Vol. 2, Issue 2 · 30 Jun 2006 · 7,490 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Comparative Study of Machine Learning Algorithms for Skin Cancer DetectionVineeth Victor, Amit Kumr Tyagi, Khushboo Tripathi et al.The skin is the largest organ in the human body, covering an area of around 20 square feet. Our skin keeps us safe from germs and the environment, helps us regulate our body temperature, and gives us the ability to feel touch, heat, and cold. More than 95 percent of all skin cancers are caused by ultraviolet (UV) radiation. UV … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 1,859 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPlant Computational Modelling of Green Amaranth Plant for Investment Analyst using FSPM-GroIMP and Fuzzy LogicBakti Amirul Jabar, Ditdit Nugeraha UtamaFunctional-Structural Plant Modelling (FSPM) isplant modeling that considers morphology, physiology, and statistical data. Oneof the software for FSPM is the Growth-Grammar Interactive Modelling Platform (GroIMP).GroIMP is a Java-based platform using the XL language, which is a languagedeveloped from System-L. This study aims to build a virtual plant model ofgreen amaranth (Amaranthus Sp.) in a hydroponic planting systemfor strategic decision-making. In … …Journal of Computer Science, Vol. 18, Issue 8 · 4 Aug 2022 · 5,993 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSmart 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 accessIn the keywordsONCODIAG Select and Test (ST) Algorithm: An Approximate Clinical Reasoning Model for Diagnosing and Monitoring Breast CancerO.N. Oyelade, A.A. Obiniyi, S.B. JunaiduClinical reasoning involves coordinated thinking strategies targeted at gathering and analyzing relevant information to arrive at a high-quality clinical solution to patients' medical problems. The correctness and proper choice of clinical reasoning approach chosen by a clinician or machine affect the accuracy and acceptability of the diagnosis; moreover, another challenge that usually surfaces during clinical reasoning is the burden of … …Current Research in Bioinformatics, Vol. 9, Issue 1 · 22 Feb 2020 · 8,936 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMapping Learning Algorithms on Data, a Useful Step for Optimizing Performances and Their ComparisonFilippo NeriIn this paper, we propose a novel methodology to map learning algorithms on data (performance map) in order to gain more insights into the distribution of their performances across their parameter space. This methodology provides useful information when selecting a learner's best configuration for the data at hand and it also enhances the comparison of learners across learning contexts. In … …Journal of Computer Science, Vol. 20, Issue 9 · 10 Jul 2024 · 4,501 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOR/MS Applications in Mt. Merapi Disaster ManagementAmril Aman, Toni Bakhtiar, Farida Hanum, Prapto Tri SupriyoProblem statement: Much of researches on the management of disaster deal with their social aspects such as sociological and psychological effects on communities. Recently there had been a growing credit of the demand for application of the operational research and management science matters in disaster management. This approach commonly utilizes decision theory, dynamical system and optimization technique to minimize the … …Journal of Mathematics and Statistics, Vol. 8, Issue 2 · 19 Jun 2012 · 7,035 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Framework for Computerized Progress Feedback in Tertiary EducationAnnette van der Merwe, Tiny du Toit, Hennie KrugerThe dawn of democracy in South Africa in 1994 has resulted in challenges in many fields, especially in education. University enrolment rates are high and the output quality of school learners in general is delicate which threatens the graduate quality of tertiary institutions. Contrary to rising student enrolments, the attrition rates have not improved. One contributing factor is the lack … …Journal of Computer Science, Vol. 16, Issue 3 · 28 Mar 2020 · 6,943 accessesView PDFCite