Hydrological time series prediction based on IWOA-ALSTM.

Autor: Zhang X; Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, 211100, China. xuejie_zh@hhu.edu.cn.; School of Computer and Information, Hohai University, Nanjing, 211100, China. xuejie_zh@hhu.edu.cn., Cang H; Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, 211100, China.; School of Computer and Information, Hohai University, Nanjing, 211100, China., Nedjah N; State University of Rio de Janeiro, Rio de Janeiro, Brazil., Ye F; Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, 211100, China.; School of Computer and Information, Hohai University, Nanjing, 211100, China., Jin Y; China South-to-North Water Diversion Jianghan Water Network Construction and Development Co., Ltd, Wuhan, China.

Publikováno v: Scientific reports [Sci Rep] 2024 Apr 05; Vol. 14 (1), pp. 8067. Date of Electronic Publication: 2024 Apr 05.

Machine learning and smart card based two-factor authentication scheme for preserving anonymity in telecare medical information system (TMIS)

Autor: Gupta, BB, Prajapati, V, Nedjah, N, Vijayakumar, P, El-Latif, AAA, Chang, X

Telecare medical information system (TMIS) is used to connect patients and doctors who are at a different location from each other. The authentication of the user and system is very crucial as the medical data of the user is stored on the server. Man

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::3c0e457e2dce270193f264cf3f3785d5
https://hdl.handle.net/10453/168741

Co-Design Dedicated System for Efficient Object Tracking Using Swarm Intelligence-Oriented Search Strategies.

Autor: Nedjah N; Department of Electronics Engineering and Telecommunications, State University of Rio de Janeiro, Rio de Janeiro 20.550-900, Brazil., Cardoso AV; Department of Electronics Engineering and Telecommunications, State University of Rio de Janeiro, Rio de Janeiro 20.550-900, Brazil., Tavares YM; Department of Electronics Engineering and Telecommunications, State University of Rio de Janeiro, Rio de Janeiro 20.550-900, Brazil., Mourelle LM; Department of Systems Engineering and Computation, State University of Rio de Janeiro, Rio de Janeiro 20.550-900, Brazil., Gupta BB; Department of Computer Science and Information Engineering, Asia University, Taichung 41354, Taiwan.; Center for Advanced Information Technology, Kyung Hee University, Seoul 02447, Republic of Korea.; Department of Electrical and Computer Engineering, Lebanese American University, Beirut 1102, Lebanon.; Center for Interdisciplinary Research, University of Petroleum and Energy Studies, Dehradun 248007, India., Arya V; Department of Business Administration, Asia University, Taichung 41354, Taiwan.; University Center for Research & Development (UCRD), Chandigarh University, Chandigarh 140413, India.; School of Computing, Skyline University College, Sharjah P.O. Box 1797, United Arab Emirates.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jun 25; Vol. 23 (13). Date of Electronic Publication: 2023 Jun 25.

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Dynamic MAC-based architecture of artificial neural networks suitable for hardware implementation on FPGAs

Autor: Nedjah, N., da Silva, R.M., Mourelle, L.M., da Silva, M.V.C.

Publikováno v: In Neurocomputing 2009 72(10):2171-2179