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55 results for “network planning”

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Research ArticleOpen accessIn the abstractOptimized Earthquake Evacuation Routes Using Dijkstra's Algorithm and WinQSBSandra Huarcaya Gonzales, Hugo Vega-Huerta, Gisella Luisa Elena Maquen-Niño et al.This research analyzes and generates optimal evacuation routes in the Barranco district during earthquake scenarios using the Dijkstra algorithm implemented through WinQSB. A preliminary review was conducted to establish key concepts related to earthquake dynamics, evacuation route planning, and the application of Dijkstra’s algorithm. Given its high seismic exposure and the prevalence of aging infrastructure, Barranco is considered highly vulnerable … …Journal of Computer Science, Vol. 21, Issue 10 · 9 Dec 2025 · 2,851 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Combined Deep Learning Model with Attention Mechanism for Detection of Implant Manufacturer Using X-Ray ImagesAttar Mahay Sheetal, K. SreekumarShoulder replacement surgery is one of the invasive techniques in orthopedic disciplines that replaces dead shoulder joints with prostheses made from polyethylene and metal components. To perform the surgery, there is a need to know the implant accessories and manufacturer of the implant. Some problems arise in a situation where the patient experiences pain and shoulder malfunctions that need replacement, … …Journal of Computer Science, Vol. 21, Issue 6 · 12 Jun 2025 · 3,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractUMPM-Net: A Multimodal Deep Learning Framework for Colorectal Cancer PrognosisK. Muthuchamy, S K. Piramu PreethikaColorectal cancer (CRC) is one of the most common cancers worldwide, for which early prediction of patient outcomes is important for personalised treatment planning and to improve survival. However, current prediction systems are limited in the fact that they are based on single-modality data and cannot capture the complex interactions between clinical, imaging, and genomic factors. To overcome these shortcomings, … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 613 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Meta-Heuristic for Multi-Objective Integrated Procurement, Production and Distribution Problem of Supply Chain Network Under Fuzziness UncertaintiesKaoutar Douaioui, Mouhsene Fri, Charif Mabrouki, El Alami SemmaIn this study, we devoted a design under uncertainty of a supply chain network composed of multiple suppliers, multiple plants, multiple distributors and multiple customers. The proposed model is a bi- objective mixed integer linear programming which consider several constraints and optimize the total costs including the procurement, production, storage and distribution costs as well as maximize on-time deliveries. In … …Journal of Computer Science, Vol. 17, Issue 12 · 27 Dec 2021 · 6,625 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptiCNN: Local thresholding segmentation and CNN with SVM Approach for Diabetic Retinopathy Detection and Classification of Fundus ImagesAnju Mishra, Mrinal Pandey, Laxman SinghDiabetic Retinopathy (DR) is a progressive eye disease that can lead to vision loss and blindness if left untreated. Ophthalmologists diagnose DR using medical imaging modalities such as fundus photography and optical coherence tomography (OCT); however, manual interpretation of these images is time-consuming and subject to inter-observer variability. While DR is irreversible, vision loss can be prevented through early detection … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effect of the Transportation System and City Configuration on Sustainable Urbanization (Al-Bayda City as a Case Study)Aisha Bakar, Ashraf Fadiel, Taher Abu-LebdehDespite the persistent attempts on a global level to adopt sustainability in every aspect of city planning, the complex nature of city components and the presence of many factors and variables that affect the growth and development of cities make the adoption of a specific trend not an easy matter. It may be more appropriate to identify some important elements … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 2 · 19 Mar 2024 · 5,278 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoftware Development Effort Estimation Using Relational Database and Optimized Learning MechanismRavi Kumar B. N., Yeresime SureshAccurately estimating the cost of software development is crucial for effective project planning and resource allocation. However, traditional cost estimation methods rely heavily on expert judgment and historical data, which can be time consuming and prone to errors. This study suggests a learning-based cost estimation model that leverages relational databases to improve accuracy. The proposed approach estimates project cost based … …Journal of Computer Science, Vol. 19, Issue 4 · 7 Apr 2023 · 6,313 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Approach to Process Planning: The Urban Traffic Controller ExampleJimoh Falilat Olaitan, Simon Parkinson, Thomas Leo McCluskeyAutomated planning and scheduling are increasingly utilised in solving evsery day planning task. Planning in domains with continuous numeric changes present certain limitations and tremendous challenges to advanced planning algorithms. There are many pertinent examples to the engineering community; however, a case study is provided through the urban traffic controller domain. This paper introduce a novel hybrid approach to state-space … …Journal of Computer Science, Vol. 13, Issue 8 · 23 Aug 2017 · 7,484 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Criteria Decision-Making Methodology for Sustainable Creativity in Social MediaShilpi Sharma, Tanupriya Choudhury, Bhupesh Kumar DewanganA major topic that every researcher is pursuing is sustainability in every aspect of knowledge and learning. In the 21st century, the world is facing a challenge. Some of the well-known Multi-Criteria Decision-Making tools are Analytic Network Process (ANP), Analytical Hierarchy Process (AHP), TOPSIS, ELECTRE, Choice Based Conjoint Analysis (CBC) etc. This approach is used in various research domains. The … …Journal of Computer Science, Vol. 17, Issue 11 · 5 Dec 2021 · 6,649 accessesView PDFCite