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53 articles for “network planning”
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Research ArticleOpen accessIn the abstractForecasting Air Passenger Demand: A Comparison of LSTM and SARIMAQuang Hung Do, Shih-Kuei Lo, Jeng-Fung Chen et al.All airports need to have an accurate prediction of the number of passengers for their efficient management. An accurate prediction of the number of air passengers is crucial task since it provides information for planning decisions in the airport infrastructure to stabilize the service and maximize the profit. This study proposes a novel air passenger demand forecasting model based on … …Journal of Computer Science, Vol. 16, Issue 7 · 25 Jul 2020 · 8,565 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Interregional Freight Generation Modelling Methods by using Nationwide Commodity Flow Survey DataWirach HirunA trip generation model is one of the four parts of the classical transport planning model, which explores the volume of trip or freight at the originating and destination points of a traffic analysis zone. The process of calibrating a trip generation model needs appropriate data. Freight transport data are always robust and a powerful calibration technique is required to … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 3 · 18 Aug 2016 · 8,113 accessesView PDFCite
Research ArticleOpen accessIn the abstractRetinal Image Analysis for Abnormality Detection-An OverviewR. Karthikeyan, P. AlliProblem statement: Classification plays a major role in retinal image analysis for detecting the various abnormalities in retinal images. Classification refers to one of the mining concepts using supervised or unsupervised learning techniques. Approach: Diabetic retinopathy is one of the common complications of diabetes. Unfortunately, in many cases, the patient is not aware any symptoms until it is too late … …Journal of Computer Science, Vol. 8, Issue 3 · 24 Jan 2012 · 7,285 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONGESTION MANAGEMENT BY OPTIMAL ALLOCATION OF FACTS CONTROLLERS USING HYBRID FISH BEE OPTIMIZATIONS. Thangalakshmi, P. ValsalalThe role of Independent System Operator (ISO) in the restructured power industry includes system control, capacity planning, transmission tariff and congestion management; the challenging task being minimizing the congestion. One of the popular techniques used to alleviate congestion is using Flexible AC Transmission Systems (FACTS) devices. The power system generally operates near its rated capacity in deregulated market because of … …Journal of Computer Science, Vol. 10, Issue 9 · 24 Apr 2014 · 6,648 accessesView PDFCite
Research ArticleOpen accessIn the abstract“OPTIMIZATION OF MULTI-COMMODITIES CONSUMER SUPPLY CHAINS FOR-PART I-MODELING”Zeinab Haji Abolhasani, Romeo M. Marian, Lee LoungThis study and its companions (Part II, Part III) will concentrate on optimizing a class of supply chain problems known as Multi-Commodities Consumer Supply Chain (MCCSC) problem. MCCSC problem belongs to Production-Distribution (P-D) planning category. It aims to determine facilities location, consumers’ allocation and facilities configuration to minimize total Cost (CT) of the entire network. These facilities can be manufacturer … …Journal of Computer Science, Vol. 9, Issue 12 · 26 Nov 2013 · 7,852 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Application of Combined Model for Tehran Metropolitan Area Incorporating Captive Travel BehaviorShahriar A. Zargari, Morteza Araghi, Kouros MohammadianTo overcome deficiencies of the sequential transportation planning approach, this research applies a Combined Trip Distribution and Assignment Model (CTDAM) for the simultaneous prediction. The proposed combined model can itself be reformulated as an Equivalent Minimization Problem (EMP). When applying the Evans algorithm to the EMP, the CTDAM is expected to be usable in a realistic application. The objective of … …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 7,857 accessesView PDFCite
Research ArticleOpen accessIn the abstractMajor Challenges of Iranian Rural Communities for Achieving Sustainable DevelopmentKhalil Kalantari, Hossein Shabanali Fami, Ali Asadi et al.Problem statement: Rural population in Iran live in an unstable environment and geographically, villages are extremely diverse and more than 65% of them have population less than 250 persons, which do not provide sufficient population threshold for most of services and sustainable economic and job creation activities. Only 7.5% of rural areas have population more than 1000 persons. Therefore, the … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 4 · 31 Dec 2008 · 7,931 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Simple Scheme for Improved Performance of Fixed Outage Rate Cellular SystemHussein M.Aziz Basi, M. B.R. MurthyThe traffic characteristic of mobile cellular systems is rather distinct from that of a fixed telephone network. However the system planning and design are still carried out with the tools of conventional traffic theory. In the recent days much work is being done in the performance evaluation of mobile or cellular communication systems in order to develop a system with … …American Journal of Applied Sciences, Vol. 1, Issue 3 · 30 Sep 2004 · 7,085 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordLung Cancer Detection Using Regularized Extreme Learning Machine and PCA FeaturesK. Kavitha, Dr. V. Saravana Kumar, V. Bhoopathy et al.When finding abnormalities in target images is time-sensitive, as it is with many cancer tumors, image processing techniques have recently found widespread use across various medical industries to improve images for early detection and treatment stages. In the setting of cancer, where time is of the essence in detecting anomalies within medical imaging, our research takes on further urgency. In … …Journal of Computer Science, Vol. 20, Issue 10 · 5 Aug 2024 · 5,311 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIoT-Integrated CNN Deep Learning for Automated Breast Cancer Detection and DiagnosisYamini Kalva, R. Ganesh Babu, Sindhu V. et al.Breast cancer continues to be a primary cause of death in women, requiring prompt and accurate diagnosis to enhance treatment results. Traditional diagnostic techniques depend on manual assessment, which leads to possible misclassification, significant inter-observer variability, and delays in decision-making. Current deep learning models, including CNNs, frequently experience feature loss, gradient declining and restricted adaptability to real-time data. To overcome … …Journal of Computer Science, Vol. 22, Issue 4 · 30 Mar 2026 · 1,761 accessesView PDFCite