Contributed by: Kay Tancock, k.tancock@elsevier.com
Engineering Applications of Artificial Intelligence
Volume 101, May 2021
• Omveer Sharma, N.C. Sahoo, N.B. Puhan, Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
• lmira Farrokhizadeh, Seyed Amin Seyfi-Shishavan, Fatma Kutlu Gündoğdu, Yaser Donyatalab, Cengiz Kahraman, Seyyed Hadi Seifi, A spherical fuzzy methodology integrating maximizing deviation and TOPSIS methods
• Jianrui Chen, Yanqing Lu, Fanhua Shang, Tingting Zhu, A novel recommendation scheme with multifactorial weighted matrix decomposition strategies via forgetting rule
• Liguo Fei, Yuqiang Feng, A dynamic framework of multi-attribute decision making under Pythagorean fuzzy environment by using Dempster–Shafer theory
• Baiquan Lu, Zhongwei Zheng, Zhijun Zhang, Ying Yu, Tingzhang Liu, New global optimization algorithms based on multi-loop distributed control systems with serial structure and ring structure for solving global optimization problems
• Florian Arnold, Rudibert King, State–space modeling for control based on physics-informed neural networks
• Zhengmin Liu, Di Wang, Xinya Wang, Xiaolan Zhao, Peide Liu, A generalized TODIM-ELECTRE II based integrated decision-making framework for technology selection of energy conservation and emission reduction with unknown weight information
• Ye Tian, Xiangjun Mi, Yunpeng Ji, Bingyi Kang, ZE-numbers: A new extended Z-numbers and its application on multiple attribute group decision making
• Jong Hun Woo, Byeongseop Kim, SuHeon Ju, Young In Cho, Automation of load balancing for Gantt planning using reinforcement learning
• Yu-Ju Lee, David Hall, Quan Liu, Wen-Wei Liao, Ming-Chun Huang, Interpretable tropical cyclone intensity estimation using Dvorak-inspired machine learning techniques
• Kongjing Gu, Ziyang Mao, Xiaojun Duan, Guanlin Wu, Liang Yan, Identifying the module structure of swarms using a new framework of network-based time series clustering
• Yoan Martínez-López, Ansel Y. Rodríguez-González, Julio Madera, Miguel Bethencourt Mayedo, Fernando Lezama, Cellular estimation of distribution algorithm designed to solve the energy resource management problem under uncertainty
• Dong Wei, Zhongbin Wang, Lei Si, Chao Tan, Xuliang Lu, An image segmentation method based on a modified local-information weighted intuitionistic Fuzzy C-means clustering and Gold-panning Algorithm
• Long Chen, Liangxiao Jiang, Chaoqun Li, Using modified term frequency to improve term weighting for text classification
• Navid Zobeiry, Keith D. Humfeld, A physics-informed machine learning approach for solving heat transfer equation in advanced manufacturing and engineering applications
• M. Di Mauro, G. Galatro, G. Fortino, A. Liotta, Supervised feature selection techniques in network intrusion detection: A critical review
• Yifan Yang, Ju’e Guo, Shaolong Sun, Yixin Li, Forecasting crude oil price with a new hybrid approach and multi-source data
• Peixian Zhuang, Chongyi Li, Jiamin Wu, Bayesian retinex underwater image enhancement
• Song Fu, Shisheng Zhong, Lin Lin, Minghang Zhao, A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection
• Han Lai, Huchang Liao, A multi-criteria decision making method based on DNMA and CRITIC with linguistic D numbers for blockchain platform evaluation
• Ronald R. Yager, Inferring the value of a variable using measure based information of a related variable
• K. Dehghan-Sanej, M. Eghbali-Zarch, R. Tavakkoli-Moghaddam, S.M. Sajadi, S.J. Sadjadi, Solving a new robust reverse job shop scheduling problem by meta-heuristic algorithms
• Alejandro G. Martín, Alberto Fernández-Isabel, César González-Fernández, Carmen Lancho, Marina Cuesta, Isaac Martín de Diego, Suspicious news detection through semantic and sentiment measures
