Research ArticleOpen accessEvery word in the titleVariable Neighborhood Simplex Search Methods for Global Optimization ModelsPongchanun LuangpaiboonProblem statement: Many optimization problems of practical interest are encountered in various fields of chemical, engineering and management sciences. They are computationally intractable. Therefore, a practical algorithm for solving such problems is to employ approximation algorithms that can find nearly optimums within a reasonable amount of computational time. Approach: In this study the hybrid methods combining the Variable Neighborhood Search … …Journal of Computer Science, Vol. 8, Issue 4 · 15 Feb 2012 · 6,510 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHybrid Enhanced Neighbourhood and Latent Factor Model for Cold-Start RecommendationsAmritha P, Rajkumar KKAmong different recommendation strategies, collaborative filtering remains a commonly utilized method for generating personalized suggestions. The traditional collaborative algorithms face performance declines due to the sparse rating of data and the item cold-start problem. To overcome these challenges, this paper introduces a novel hybrid model called HCE-KNNCF (Hybrid Cognition-Enabled K-Nearest Neighbor Collaborative Filtering). The proposed model generates predicted rating by … …Journal of Computer Science, Vol. 22, Issue 9 · 21 Sep 2026 · 622 accessesView PDFCite
Research ArticleOpen accessIn the abstractYazidi Women in Displacement in Northern Iraq: Gendered Realities and their Impact on Mental HealthKristina Jadranović, Turkiya Shammo et al.This study explores how gendered realities affect the mental health of Yazidi women, currently displaced in Northern Iraq. The aim is to identify positive and negative gender practices, explore their impact on mental health outcomes, and situate them in the cultural and socio-political context of the Yazidi community. The study adopts a mixed methods research design, combining the results of … …Journal of Social Sciences, Vol. 20, Issue 1 · 3 Feb 2025 · 6,887 accessesView PDFCite
Research ArticleOpen accessIn the abstractUrban Renewal through Sustainable Development: A Case Study in IranS. Hessam Miri, S. Behnam Miri, Mohammad Rasoul MaghsoudiDecayed urban areas, especially those located in the city center, are one of the major problems of cities. These areas, which known as the main nucleus of cities at the time of their emergence, have lost their previous prosperity and importance due to several reasons such as the deterioration of their properties, the immigration of their original residents and the … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 1 · 9 Jan 2020 · 8,377 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Face Detection, Recognition and Gender Estimation Applied to Person IdentificationMd Hannan, Md Rafiqul Islam, Md Ashraful Haque et al.Face detection, recognition and gender estimation are one of the most significant research areas in computer vision, not only because of the challenging nature of faces as an object but also due to the countless applications that require the application of face detection, tracking and recognition. Although many significant types of research on face detection, recognition and gender estimation problems … …Journal of Computer Science, Vol. 15, Issue 3 · 27 Mar 2019 · 9,492 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Detection of Exudates in Retinal Images using Region-Based, Neighborhood and Block OperationKittipol Wisaeng, Worawat Sa-NgiamviboolExudates detection is one of the research areas attracting great attention of physicians and scientists. A region-based, neighborhood, block operation and optimal global thresholding are proposed as new methods to exudates detection. The exudates are coarse and fine segmentation following preprocessing steps, i.e., color mapping, image contrast enhancement, fuzzy filtering and optic disc localization. To classify the retinal images into … …Journal of Computer Science, Vol. 14, Issue 4 · 21 Feb 2018 · 7,982 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimating the Claim Severity Distribution using Variable Neighborhood SearchKunjira Kingphai, Samruam ChongcharoenIn this study, Variable Neighborhood Search (VNS) is utilized to estimate the parameters of actual motor insurance claims data set and compared them obtained by the Moment Estimation Methods (MOM) and Maximum likelihood Estimation Method (MLE) which are known as a conscientious method. Then, the Kolmogorov-Smirnov test (K-S) is used to show how well the selected distribution fits the actual … …American Journal of Applied Sciences, Vol. 13, Issue 12 · 19 Dec 2016 · 7,326 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONSTRUCTION OF STRATEGIC CONNECTED DOMINATING SET FOR MOBILE AD HOC NETWORKSVictor Ceronmani Sharmila, Amalanathan GeorgeConnected Dominating Sets (CDSs) can serve as virtual backbones for wireless networks. A smaller virtual backbone (minimum size CDS) incurs less communication overhead. Unfortunately, computing a minimum size CDS is NP-hard and thus many algorithms were developed which concentrates on how to construct smaller CDSs. Aiming for minimum number of nodes in CDS, results in CDSs that are highly unstable. … …Journal of Computer Science, Vol. 10, Issue 2 · 16 Nov 2013 · 6,913 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Review on Recent Research and Implementation Methodologies on Medical Image SegmentationS. K. Somasundaram, P. AlliProblem statement: Image segmentation plays a very important role in digital imaging applications for classifying the anatomical structures and other Regions of Interest. Segmentation refers to the process of identifying and isolating the surface and regions of the digital image which corresponds to the structural units. Approach: In the past few decades, many methods have been proposed to segment the … …Journal of Computer Science, Vol. 8, Issue 1 · 4 Nov 2011 · 7,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Approach for 3D Range Image Segmentation using Gradient MethodDina A. Hafiz, Walaa M. Sheta, Sahar Bayoumi, Bayumy A.B. YoussefProblem statement: Segmentation of 3D range images is widely used in computer vision as an essential pre-processing step before the methods of high-level vision can be applied. Segmentation aims to study and recognize the features of range image such as 3D edges, connected surfaces and smooth regions. Approach: This study presents new improvements in segmentation of terrestrial 3D range images … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 19,592 accessesView PDFCite