Contributed by Kay Tancock, k.tancock@elsevier.com
Research Papers
• Pei-Yu Tseng, Po-Ching Lin, Edy Kristianto, Vehicle theft detection by generative adversarial networks on driving behavior, https://doi.org/10.1016/j.engappai.2022.105571
• Sonia Farhana Nimmy, Omar K. Hussain, Ripon K. Chakrabortty, Farookh Khadeer Hussain, Morteza Saberi, Interpreting the antecedents of a predicted output by capturing the interdependencies among the system features and their evolution over time, https://doi.org/10.1016/j.engappai.2022.105596
• Tong Wang, Liyue Fu, Zhengxian Wei, Yuhu Zhou, Shan Gao, Unmanned ground weapon target assignment based on deep Q-learning network with an improved multi-objective artificial bee colony algorithm, https://doi.org/10.1016/j.engappai.2022.105612
• Erhu Zhang, Mei Li, Qing Zhang, Lele Wu, Linhao Shao, An inverse halftoning method for various types of halftone images based on multi-scale generative adversarial network, https://doi.org/10.1016/j.engappai.2022.105600
• Jingmiao Song, Peng Wu, Jinpei Liu, Huayou Chen, Group decision making with hesitant fuzzy linguistic preference relations based on multiplicative DEA cross-efficiency and stochastic acceptability analysis, https://doi.org/10.1016/j.engappai.2022.105595
• Varun Ojha, Bartolomeo Pantò, Giuseppe Nicosia, Adaptive search space decomposition method for pre- and post-buckling analyses of space truss structures, https://doi.org/10.1016/j.engappai.2022.105593
• Emil Pitz, Sean Rooney, Kishore Pochiraju, Estimation of spatial uncertainty in material property distributions within heterogeneous structures using optimized convolutional neural networks, https://doi.org/10.1016/j.engappai.2022.105603
• Kun Zhou, Sung-Kwun Oh, Witold Pedrycz, Jianlong Qiu, Data preprocessing strategy in constructing convolutional neural network classifier based on constrained particle swarm optimization with fuzzy penalty function, https://doi.org/10.1016/j.engappai.2022.105580
• Changlun Li, Ke Liang, Yuan Chen, Mingzhang Pan, An exploitation-boosted sine cosine algorithm for global optimization, https://doi.org/10.1016/j.engappai.2022.105620
• Marcos Maroto-Gómez, Sara Marqués-Villaroya, José Carlos Castillo, Álvaro Castro-González, María Malfaz, Active learning based on computer vision and human–robot interaction for the user profiling and behavior personalization of an autonomous social robot, https://doi.org/10.1016/j.engappai.2022.105631
• Yezhou Ni, Robert Topham, Travis Skippon, Jun-Tian Zhang, Sean Hanlon, Fei Long, Catalina Anghel, Edmanuel Torres, Mark R. Daymond, Laurent K. Béland, Detection of zirconium hydrides in transmission electron micrographs using deep neural networks, https://doi.org/10.1016/j.engappai.2022.105573
• Hanieh Heydari, Ata Allah Taleizadeh, Fariborz Jolai, Financing a two-stage sustainable supply chain using green bonds: Preventing environmental pollution and waste generation, https://doi.org/10.1016/j.engappai.2022.105583
• Weike Liu, Cheng Zhu, Zhaoyun Ding, Hang Zhang, Qingbao Liu, Multiclass imbalanced and concept drift network traffic classification framework based on online active learning, https://doi.org/10.1016/j.engappai.2022.105607
• Abin Oommen Philip, RA.K. Saravanaguru, Multisource traffic incident reporting and evidence management in Internet of Vehicles using machine learning and blockchain, https://doi.org/10.1016/j.engappai.2022.105630
• Faegheh Shojaiee, Yasser Baleghi, EFASPP U-Net for semantic segmentation of night traffic scenes using fusion of visible and thermal images, https://doi.org/10.1016/j.engappai.2022.105627
• Maxim Bobyr, Alexander Arkhipov, Sergey Emelyanov, Natalya Milostnaya, A method for creating a depth map based on a three-level fuzzy model, https://doi.org/10.1016/j.engappai.2022.105629
• Levi R. Abreu, Ingrid S.F. Maciel, Joab S. Alves, Lucas C. Braga, Heráclito L.J. Pontes, A decision tree model for the prediction of the stay time of ships in Brazilian ports, https://doi.org/10.1016/j.engappai.2022.105634
• Saijie Fan, Wei Liang, Derui Ding, Hui Yu, LACN: A lightweight attention-guided ConvNeXt network for low-light image enhancement, https://doi.org/10.1016/j.engappai.2022.105632
• Sara Mobsite, Nabih Alaoui, Mohammed Boulmalf, Mounir Ghogho, Semantic segmentation-based system for fall detection and post-fall posture classification, https://doi.org/10.1016/j.engappai.2022.105616
• Shengdong Wang, Zhenbao Liu, Zhen Jia, Zihao Li, Incipient fault diagnosis of analog circuit with ensemble HKELM based on fused multi-channel and multi-scale features, https://doi.org/10.1016/j.engappai.2022.105633
• Yang Liu, Guoping Yang, Shaojie Qiao, Meiqi Liu, Lulu Qu, Nan Han, Tao Wu, Guan Yuan, Tao Wu, Yuzhong Peng, Imbalanced data classification: Using transfer learning and active sampling, https://doi.org/10.1016/j.engappai.2022.105621
• Ruili Wang, Xueyu Liu, Fang Hao, Xing Chen, Xinyu Li, Chen Wang, Dan Niu, Ming Li, Yongfei Wu, Ada-CCFNet: Classification of multimodal direct immunofluorescence images for membranous nephropathy via adaptive weighted confidence calibration fusion network, https://doi.org/10.1016/j.engappai.2022.105637
• Zijian Wu, Peng Gao, Jing Han, Lianfa Bai, Jun Lu, Zhuang Zhao, Real-time segmentation network for accurate weld detection in large weldments, https://doi.org/10.1016/j.engappai.2022.105008
Short Survey
• Haizhen Li, Xilun Ding, Adaptive and intelligent robot task planning for home service: A review, https://doi.org/10.1016/j.engappai.2022.105618
Short Communication
• Aishwarya Venkataramanan, Pierre Faure-Giovagnoli, Cyril Regan, David Heudre, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier, Martin Laviale, Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach, https://doi.org/10.1016/j.engappai.2022.105594
