Research ArticleOpen accessIn the abstractDetecting Non-Dominated Extreme Points for Multiple Objective Linear ProgrammingS. F. TantawyEfficient extreme points in decision space of multiple objective linear programming (MOLP) may not map to non dominated extreme points in objective space under the linear mapping, condition that efficient extreme points have a non dominated extreme is given, the important of this study is that the decision-Maker may depends on extreme points of the set of the objective space … …Journal of Mathematics and Statistics, Vol. 3, Issue 3 · 30 Sep 2007 · 6,862 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Active Learning Ensemble Framework for Tropical Crop Yield PredictionAmol Bhilare, Debabrata Swain, Megh Patel et al.Agriculture always has great importance among all different sectors, not only in the world but also in India. It has a significant impact on food security and largely controls the economy. At present, technological advancements have significantly enhanced agricultural productivity, but it can still be further improved by the integration of new cutting-edge techniques like Artificial intelligence. Among the factors … …Journal of Computer Science, Vol. 22, Issue 9 · 11 Sep 2026 · 819 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Literature Review on Data Integration: Issues, Data Types, ArchitectureMimi Haryani Tasani, Mohd Kamir YusofData integration is an important process that enables organizations to merge data from various sources, creating a consolidated viewpoint that supports better decision-making, increased effectiveness, and deeper insights. Although data integration has advantages, it also comes with difficulties like maintaining data quality, adhering to compliance regulations, resolving technical issues, and merging with older systems. Effective management of data quality, robust … …Journal of Computer Science, Vol. 22, Issue 2 · 18 Feb 2026 · 1,807 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Terrain Classification with a Bayesian Hyperparameter Optimized Deep Supervised Autoencoder ModelTiny Du Toit, Hennie Kruger, Annette Van Der MerweTerrain classification according to specific terrain attributes, has become increasingly important in certain decision-making scenarios. Automated robots are often utilized to traverse a specific surface to collect data that can be used in classification models to identify a specific terrain. In this study, a supervised autoencoder model (i.e., an autoencoder combined with a supervised learner such as a multilayer perceptron) … …Journal of Computer Science, Vol. 19, Issue 9 · 31 Aug 2023 · 5,019 accessesView PDFCite
Research ArticleOpen accessIn the abstractMercury Contamination within Protected Areas in the Brazilian Northern Amazon-Amapá StateRossana Venturieri, Marcelo Oliveira-da-Costa, Cecile Gama, Christoph Bernhard JasterMercury contamination is a long-standing environmental and social problem, notably in the Amazon. The widespread use of mercury in artisanal and small-scale gold mining has driven contamination of the environment and the people, threatening biodiversity, human health and livelihoods of traditional populations. Along the border area between Brazil and French Guiana, illegal gold mining is considered a critical threat to … …American Journal of Environmental Sciences, Vol. 13, Issue 1 · 17 Jan 2017 · 9,246 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Rule Generation Techniques using Computational MethodG. Maragatham, M. LakshmiProblem statement: Enhanced decision making seeks a right of way mainly in business sectors for mining profitable patterns in databases. To address this problem, the authors have incorporated the temporal and utility concept of mining effective rules. Though the objective of generating profitable rule set is achieved. Still in effective decision making, Optimization of the rule set is required. Therefore … …Journal of Computer Science, Vol. 8, Issue 7 · 9 May 2012 · 6,624 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuality of Psychology Test Between Likert Scale 5 and 6 PointsRungson ChomeyaProblem statement: The purposes of this research were (1) to study the quality evaluation psychology test Likert's scale 5 and 6 points (attitude test, locus of control test and achievement motive test) focusing on construct validity, discrimination and reliability, (2) to compare the study of quality psychology test between Likert's scale 5 and 6 points and (3) to compare the … …Journal of Social Sciences, Vol. 6, Issue 3 · 4 Sep 2010 · 22,849 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdoption Factors of Electronic Human Resource Management (e-HRM) in Banking Industry of BangladeshAbdul Kadar Muhammad MasumThe purpose of the study is identifying the important factors that contribute to adoption of e-HRM among banks in Bangladesh. Stratified random sampling technique was used to consider 265 respondents from twenty eight private commercial banks. A pre-tested and close-ended questionnaire adapting five-point Likert scale was used for data collection. In this study, descriptive statistics and exploratory factor analysis are … …Journal of Social Sciences, Vol. 11, Issue 1 · 15 Apr 2015 · 8,300 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONSTRAINT SOVLING ENGINE BASED NURSE ROSTERING WITH INTELLIGENT BACKTRACKINGS. Chitrakala, S. P. Surendernath, R. PriyatharshiniEfficient utilization of time and effort is essential in Personnel scheduling problems to evenly balance the workload among the people and attempt to satisfy the personnel preferences. In Constraint Satisfaction Problem based scheduling problems, when a branch of the search fails the backtracking search algorithm back up to the preceding variable and try a different value for it. So here … …Journal of Computer Science, Vol. 10, Issue 10 · 22 May 2014 · 6,942 accessesView PDFCite
Research ArticleOpen accessIn the abstractGENETIC-BASED NUTRITION RECOMMENDATION MODELS. A.A. Fayoumi, A. A. Hegazy, M. A. BelalEvolutionary computing is the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. These techniques are being widely applied to a variety of problems in many vital fields. Also, Evolutionary Algorithms (EA) which applied the principles of Evolutionary computations, such as genetic algorithm, particle swarm, ant colony and … …Journal of Computer Science, Vol. 10, Issue 9 · 24 Apr 2014 · 6,854 accessesView PDFCite