Paper Review Records
全部论文审稿周期
21 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期;保留 PDF/DOI/网页源链接
532
天
Stagnation-avoidance framework with hybrid dynamics evolutionary algorithms for constrained and combinatorial optimization problems
作者
Rohit Salgotra; Pooja Verma; Szymon Lukasik; Amir H. Gandomi展开收起
作者单位
Faculty of Physics and Applied Computer Science/Centre of Excellence in Artificial Intelligence, AGH University of Kraków, Poland; Faculty of Engineering and IT, University of Technology Sydney, NSW 2007, Australia; Department of Computer Science, Kathua Campus, University of Jammu, India; Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland; University Research and Innovation Center, Obuda University, 1034 Budapest, Hungary展开收起
94
天
Enhancing municipal solid waste management through artificial neural network based forecasting of discharge point behaviour
作者
Sergio De-la-Mata-Moratilla; Ana Castillo-Martinez; Jose-Maria Gutierrez-Martinez; Raul Ramirez-Velarde; Mikel Ferrer-Oliva展开收起
作者单位
Department of Computer Science, Superior Polytechnic School, University of Alcalá, Alcalá de Henares 28805, Spain; Tecnológico de Monterrey, Campus Monterrey, Mexico展开收起
85
天
191
天
PermGrad: Interpretable Hybrid Neural Networks with synthetic images for tabular data
作者
Felipe Escalera-González; Manuel Castillo-Cara; Mariano Rincón-Zamorano; Luis Orozco-Barbosa展开收起
作者单位
Universidad Nacional de Educación a Distancia, Madrid, Spain; Instituto de Investigación Científica, Universidad de Lima, Lima, Peru; Universidad de Castilla-La Mancha, Albacete, Spain展开收起
79
天
BND-VGG-19: A deep learning algorithm for COVID-19 identification utilizing X-ray images
作者
Zili Cao; Junjian Huang; Xing He; Zhaowen Zong展开收起
作者单位
1. Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing 400715, PR China; 2. Department of Training Base for Health Care, Army Medical University, Chongqing 400038, PR China展开收起
140
天
Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images☆
作者
Minglei Li; Xiang Li; Yuchen Jiang; Jiusi Zhang; Hao Luo; Shen Yin展开收起
作者单位
1. Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China; 2. Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, 7034, Norway展开收起
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