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104 results for “Network Flow”
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Research ArticleOpen accessIn the abstractClassification of Transformed and Geometrically Distorted Images using Convolutional Neural NetworkSanad Aburass, Ammar Huneiti, Mohammad Belal Al-ZoubiConvolutionalNeural Network is a deep learning method that is used in many image-relatedapplications, such as image recognition and classification, it has achievedgreat performance in these fields, but it still suffers from some shortcomings.One of these shortcomings is not being able to be invariant to the input datadue to some image transformations like translation, rotation, scaling, andgeometric distortions such as skewness, … …Journal of Computer Science, Vol. 18, Issue 8 · 26 Aug 2022 · 6,138 accessesView PDFCite
Research ArticleOpen accessIn the abstractA CNN-KNN Based Recognition of Online Handwritten Symbols within Physics Expressions Using Contour-Based Bounding Box (CBBS) Segmentation TechniqueUjwala Kolte, Sachin Naik, Vidya KumbharArtieres, T., Marukatat, S., & Gallinari, P. (2007). Online Handwritten Shape Recognition Using Segmental Hidden Markov Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(2), 205–217. https://doi.org/10.1109/tpami.2007.38 Baró, A., Riba, P., Calvo-Zaragoza, J., & Fornés, A. (2019). From Optical Music Recognition to Handwritten Music Recognition: A baseline. Pattern Recognition Letters, 123, 1–8. https://doi.org/10.1016/j.patrec.2019.02.029 Bresler, M., Prua, D., & Hlavác, … …Journal of Computer Science, Vol. 20, Issue 7 · 7 May 2024 · 6,278 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign of a Synchronous Reference Frame Controlled Fuzzy Logic Based Distribution Static Compensator to Enhance Distribution System Power QualityRekha Sampath, Lokesh Mallaiah, Ashwini A V et al.The demand for enhanced power quality in distribution systems has increased due to the widespread utilization of various AC loads, including rectifiers, inductive loads, and variable speed drives. When these nonlinear loads are combined with renewable energy sources, harmonics are introduced in the system. These can affect the way other equipment in the network works and leave the system vulnerable … …Journal of Computer Science, Vol. 22, Issue 2 · 27 Feb 2026 · 1,710 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstablishing an Evacuation Network: A Path Ranking ApproachHoussein Alaeddine, Kamal Serrhini, Mindjid Maizia, Emmanuel NéronThe evacuation of population exposed to flood hazard requires the establishment of a specific transportation network. This is to compute escape routes to be taken by affected population. At evacuation time, inhabitants of affected area must be evacuated through transportation network to safety area. The main objective of this work is to provide assistance to rescue forces in terms of … …Journal of Computer Science, Vol. 15, Issue 12 · 3 Dec 2019 · 7,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractStochastic and Deterministic Mathematical Modeling and Simulation to Evaluate the Novel COVID-19 Pandemic Control MeasuresEva Gupta, Nand Jee Kanu, Amartya Munot et al.Background: In India, the novel Coronavirus Disease (COVID-19) epidemic has grown to 17,00000 cases and around 38,000 deaths up to 30th July, 2020. The impacts of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic in India were studied using modified age-structured stochastic and deterministic mathematical models. Methods: A compartmental susceptible (S)-infected (symptomatic) (IS) infected (asymptomatic) (IN) recovered (R) i.e., … …American Journal of Infectious Diseases, Vol. 16, Issue 4 · 20 Nov 2020 · 8,456 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimating the Scouring Depth of Bridge Pier Using Self-Organizing Neural Networks (SOM)Abolfazl Rafat, Gholam Abbas Barani, Amineh NaseriScouring is caused as a result of erosion of river bed by water flow and materials carried by water. This research estimates the scouring depth using self-organizing neural network (SOM). The obtained findings were compared with findings of other models. It was found that self- organizing neural network (SOM) has higher correlation coefficient (0.98), compared to other methods. It was … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 27 Nov 2017 · 7,500 accessesView PDFCite
Research ArticleOpen accessIn the abstractCorrelating and Modeling of Extracted Features from PVT Images of Composites using Optical Flow Technique and Weight Elimination Algorithm Optimization [OFT-WEA]Mahmoud Zaki IskandaraniA new approach to the use and implementation of Optical Flow technique is presented. The technique extracts features from presented images as a function of reference image and produces percentage of matching between the reference and tested images. The new approach in using Optical Flow lies in replacing the motion part of the algorithm with differential time related changes in … …Journal of Computer Science, Vol. 13, Issue 9 · 29 Sep 2017 · 7,320 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Path Management Mechanism to Mesh Base Stations in WiMAXSahar Abdul Aziz Al-Talib, Noor Raad SaadallahThree options are popular today for design of wireless networks - Point-to-Point, Point-to-Multipoint and Mesh topologies. Worldwide interoperability of microwave access (WiMAX) is most often associated with the point-to-multipoint (PMP) topology. For some requirements, the configuration of the base stations (BSs) is aimed to be as mesh. Mesh offers a combination of point-to-point and point-to-multipoint capability by having each of … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 1 · 22 Mar 2019 · 7,972 accessesView PDFCite