Revealing the nature of cardiovascular disease using DERGA, a novel data ensemble refinement greedy algorithm.

Autor: Asteris PG; Computational Mechanics Laboratory, School of Pedagogical and Technological Education, Athens, Greece., Gavriilaki E; 2nd Propedeutic Department of Internal Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece. Electronic address: elenicelli@yahoo.gr., Kampaktsis PN; Division of Cardiology, Department of Medicine, Columbia University, New York, NY 10032, United States., Gandomi AH; Faculty of Engineering & IT, University of Technology Sydney, Sydney, NSW 2007, Australia; University Research and Innovation Center (EKIK), Óbuda University, 1034 Budapest, Hungary., Armaghani DJ; School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia., Tsoukalas MZ; Computational Mechanics Laboratory, School of Pedagogical and Technological Education, Athens, Greece., Avgerinos DV; Onassis Cardiac Surgery Center, Athens, Greece., Grigoriadis S; Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece., Kotsiou N; 2nd Propedeutic Department of Internal Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece., Yannaki E; Hematology Laboratory, Theagenion Hospital, Thessaloniki, Greece., Drougkas A; Department of Civil and Environmental Engineering, Universitat Politècnica de Catalunya, Spain., Bardhan A; Civil Engineering Department, National Institute of Technology Patna, Bihar, India., Cavaleri L; Department of Civil, Environmental, Aerospace and Materials Engineering, University of Palermo, Palermo, Italy., Formisano A; Department of Structures for Engineering and Architecture, University of Naples 'Federico II', Naples, Italy., Mohammed AS; Engineering Department, American University of Iraq, Sulaimani, Kurdistan-Region, Iraq., Murlidhar BR; Institute for Smart Infrastructure & Innovative Construction (ISiiC), School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Malaysia., Paudel S; Department of Civil and Environmental Engineering, University of Nevada, Reno, USA., Samui P; Civil Engineering Department, National Institute of Technology Patna, Bihar, India., Zhou J; School of Resources and Safety Engineering, Central South University, Changsha 410083, China., Sarafidis P; 1st Department of Nephrology, Hippokration Hospital, Aristotle University of Thessaloniki, Greece., Virdis A; Professore Ordinario Medicina Interna, Dip. Medicina Clinica e Sperimentale, Università di Pisa, Italy., Gkaliagkousi E; 3rd Department of Internal Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Publikováno v: International journal of cardiology [Int J Cardiol] 2024 Oct 01; Vol. 412, pp. 132339. Date of Electronic Publication: 2024 Jul 03.

"Ensembled transfer learning approach for error reduction in landslide susceptibility mapping of the data scare region".

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Cloud inversion analysis of surrounding rock parameters for underground powerhouse based on PSO-BP optimized neural network and web technology.

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Comparative study on convolutional neural network and regression analysis to evaluate uniaxial compressive strength of Sandy Dolomite.

Autor: Wang, Meiqian^1,2 (AUTHOR), Liu, Wenlian^3,4 (AUTHOR), Liu, Haiming¹ (AUTHOR), Xie, Ting⁵ (AUTHOR), Wang, Qinghua⁶ (AUTHOR), Xu, Wei^1,2 (AUTHOR) xuwei@kust.edu.cn

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Utilizing meta-heuristic algorithms for load-bearing capacity prediction in piles with support vector regression.

Autor: Xu, Mengran, Zhu, Zhihui

Publikováno v: Multiscale & Multidisciplinary Modeling, Experiments & Design; Nov2024, Vol. 7 Issue 5, p5445-5459, 15p