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154 results for “network optimization”
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Research ArticleOpen accessIn the abstractComputer Users Sitting Posture Classification Using Distinct Feature Points and Small Scale Convolutional Neural Network for Humana Computer Intelligent Interactive System During COVID-19Jheanel Estrada, Larry VeaThe sudden change in our workplace practices from face-to-face work to work from home setup due to the pandemic has brought positive and negative impacts on our overall health. In literature, the use of deep learning and specialized cameras in the estimation of the human pose is popular even if there is a need for high computational resources and complex … …Journal of Computer Science, Vol. 19, Issue 4 · 16 Mar 2023 · 6,553 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Classification Model using CNN for Detection of Alzheimer’s DiseaseRagavamsi Davuluri, Ragupathy RengaswamyAlzheimer’s Disease (AD) is commonly called a neurodegenerative disorder and it is a common form of dementia. There is no permanent cure for this brain disease hence the early diagnosis of such disease using medical imaging system is highly significant. Machine learning models play a vital role in the detection of AD. Since most of the conventional machine learning models … …Journal of Computer Science, Vol. 18, Issue 5 · 30 May 2022 · 6,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Grey Wolf Optimizer and Deep Transfer Learning-Based Intrusion Detection System for IoTKapil Shrivastava, Manish Tiwari, Prasun ChakrabartiThe rapid proliferation of Internet of Things (IoT) devices has driven significant advancements in connectivity and automation, but it has also introduced substantial cybersecurity risks, including intrusions and cyberattacks. To address these challenges, this study proposes a hybrid intrusion detection framework that combines advanced optimization techniques with ensemble deep learning to enhance detection accuracy and computational efficiency. The proposed framework … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,506 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 abstractChilled Water VAV System Optimization and Modeling Using Artificial Neural NetworksRand Talib, Nabil Nassif, Maya Arida, Taher Abu-LebdehIn 2016, It was estimated that about 40% of total U.S. energy consumption was consumed by the residential and commercial sectors. According to EIA, in 2009, the energy consumption in U.S. homes was 48% which was down from 58% in 1993 (Residential Energy Consumption Survey (RECS). The development of building energy savings methods and models becomes apparently more necessary for … …Energy Research Journal, Vol. 9, Issue 1 · 6 Feb 2019 · 6,449 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of the Impact of Obstacles on the Capacity of a LTE Network in Urban Area in the UplinkAkohoule Alex, Konate Adama, Brou Pacôme, Asseu OlivierPower control is a major issue in the deployment of 4G mobile networks. Indeed, environmental constraints (relief, Air, noise,...) affect the propagation channels of mobile network systems. The new multimedia services, which consume large amounts of radio resources (frequencies), then lead to an optimization of power control in the cellular coverage in the uplink direction. The aim is to optimize … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 1 · 17 Jan 2019 · 8,295 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock price prediction using Generative Adversarial NetworksHungChun Lin, Chen Chen, GaoFeng Huang, Amir JafariDeep learning is an exciting topic. It has been utilized in many areas owing to its strong potential. For example, it has been widely used in the financial area which is vital to the society, such as high-frequency trading, portfolio optimization, fraud detection and risk management. Stock market prediction is one of the most popular and valuable areas in finance. … …Journal of Computer Science, Vol. 17, Issue 3 · 2 Apr 2021 · 17,700 accessesView PDFCite
Research ArticleOpen accessIn the abstractSolving Traffic Routing System using VANet Strategy Combined with a Distributed Swarm Intelligence OptimizationElgarej Mouhcine, Khalifa Mansouri, Youssfi MohamedProposing an efficient strategy to reduce traffic congestion is an essential step towards improvement as we take into consideration the unpredictable and dynamic infrastructure of the road network. With the advances in computing technologies and communications protocols, we can retrieve any type of data and receive in real-time the state of traffic congestion at each road using Electronic Toll Collection … …Journal of Computer Science, Vol. 14, Issue 11 · 12 Nov 2018 · 7,592 accessesView PDFCite