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192 results for “Decision Support”

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Research ArticleOpen accessEvery word in the titleCeppo Morelli Block-Falls Probability Study to Support the Decision of Excavating a by-Pass TunnelS. Longo, P. OresteProblem statement: In this article, some important aspects linked to the new Ceppo Morelli (Piemonte, Italy) future by-pass tunnel construction were considered. Approach: The article concerned a mountainous region which in the past was affected by slope landslides and block falls that reached a downhill roadway and two nearby villages. Results: Using risk analysis approach the probability of block-falls down … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 5 Nov 2010 · 7,684 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIntelligent Traffic Light System Using Convolutional Neural Network to Optimize Vehicle Flow in IndonesiaBhustomy Hakim, Fergie Joanda Kaunang, Yemima Monica Geasela, Regina HillaryTraffic congestion remains a persistent challenge in major Indonesian cities due to rapidly increasing vehicle density and the continued reliance on fixed-time traffic signal scheduling. This study aims to develop an intelligent traffic light system that dynamically adjusts sequencing based on real-time road conditions. A dataset of 902 CCTV images was collected from intersections in six large cities across Indonesia, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,155 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluating Waste's Hazardousness using Fuzzy Logic and Simple Additive WeightingTimothy Marcelleon, Ditdit Nugeraha UtamaIt is vital to determine the most dangerous types of trash in terms of the environment and human health. The purpose of this selection is to make readers aware of the impact of garbage on the environment. As human knowledge of the environment grows, the utilization of garbage will naturally decrease. The goal of this research is to create a … …Journal of Computer Science, Vol. 19, Issue 1 · 19 Jan 2023 · 5,604 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSupervised Machine Learning Model-Based Approach for Performance Prediction of StudentsAbdul Razaque, Abrar M. AlajlanPredicting students’ performance is one of the crucial issue for learning contexts, since it helps to develop alternative recommendation systems for academically weak students. Thus, several methods and practices have been applied for educational improvement. However, most of the existing methods do not determine the performance of the students. In this study, we have studied the execution of six machine … …Journal of Computer Science, Vol. 16, Issue 8 · 28 Aug 2020 · 7,082 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUnfair Reviews Detection on Amazon Reviews using Sentiment Analysis with Supervised Learning TechniquesElshrif Ibrahim Elmurngi, Abdelouahed GherbiReputation and trust are significantly important and play a pivotal role in enabling multiple parties to establish relationships that achieve mutual benefit especially in an E-Commerce (EC) environment. There are several factors negatively affecting the sight of customers and sellers in terms of reputation. For instance, lack of credibility in providing feedback reviews, by which users might create phantom feedback … …Journal of Computer Science, Vol. 14, Issue 5 · 14 May 2018 · 9,882 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Comparison between Different Data Mining Algorithms in Freight Mode ChoiceAmir Samimi, Hesamoddin Razi-Ardakani, Amir NohekhanThis research aims to study application of support vector machine algorithm, artificial neural networks and five different types of decision trees in predicting mode choice of freight transportation. Performance of these models has been compared with log it model which is one the most prevalent statistical models in the field. Effect of factors such as cargo weight, distance, type and … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 5 Feb 2017 · 7,623 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSegmentation of Ureteric and Bladder Calculi in Ultrasound ImagesS. SridharProblem statement: The framework for segmenting calculi in ureter and bladder using ultrasound images is proposed in this study. Calculi are due to abnormal collection of certain chemicals like oxalate, phosphate and uric acid. These calculi can be present in kidney, urethra or in urinary bladder. The extraction of calculi in medical images is a difficult task as no standard … …Journal of Computer Science, Vol. 8, Issue 5 · 27 Feb 2012 · 6,917 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Impact of Health Technology Assessment on Decision-Making Processes in Public Versus Not-for-Profit Private HospitalsHafizah Besar Saaid, Donald Stewart, Ian England, Nilesh ParmarProblem statement: The goal of this study is to extend research on Evidence-Based Practice (EBP) implementation by examining the decision-making processes for acquiring new health technologies in selected hospitals in Southeast Queensland, Australia. Both a decision-making model and a mini-Health Technology Assessment (HTA) model guide the approach and analysis in this study. We anticipated that both public and private sector … …Current Research in Medicine, Vol. 2, Issue 2 · 4 Oct 2011 · 9,071 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSRBIR: Semantic Region Based Image Retrieval by Extracting the Dominant Region and Semantic LearningI. Felci Rajam, S. ValliProblem statement: The Semantic Region Based Image Retrieval (SRBIR) system that automatically segments the dominant foreground region, consisting of the semantic concept of the image, such as elephants, roses and does the semantic learning, is proposed. Approach: The system segments an image into different regions and finds the dominant foreground region in it, which is the semantic concept of that … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 7,026 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Coordinated Scheduling Support System of Production and DeliveryMing-Feng Yang, Yi LinProblem statement: Traditional scheduling models which only address the sequence of jobs to be processed at the production stage under some criteria are no longer suitable and should be extended to cope with the distribution stage after production. In a rapidly changing environment, competition among enterprises has a tendency to turn towards competing between supply chain systems instead of competing … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 6,798 accessesView PDFCite