Contributed by Kay Tancock, k.tancock@elsevier.com
Research Papers
• Lucas Koch, Mario Picerno, Kevin Badalian, Sung-Yong Lee, Jakob Andert, Automated function development for emission control with deep reinforcement learning, https://doi.org/10.1016/j.engappai.2022.105477
• Akim Kapsalyamov, Shahid Hussain, Nicholas A.T. Brown, Roland Goecke, Munawar Hayat, Prashant K. Jamwal, Synthesis of a six-bar mechanism for generating knee and ankle motion trajectories using deep generative neural network, https://doi.org/10.1016/j.engappai.2022.105500
• Sunghyun Cho, Minsu Kim, Jaewon Lee, Areum Han, Jonggeol Na, Il Moon, Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning, https://doi.org/10.1016/j.engappai.2022.105463
• Kee Seung Oh, Jin Woo Lee, Auxiliary algorithm to approach a near-global optimum of a multi-objective function in acoustical topology optimization, https://doi.org/10.1016/j.engappai.2022.105488
• Sheng-ye Wang, Zhong Qu, Cui-jin Li, Le-yuan Gao, BANet: Small and multi-object detection with a bidirectional attention network for traffic scenes, https://doi.org/10.1016/j.engappai.2022.105504
• Ting-Yu Chen, A circular intuitionistic fuzzy evaluation method based on distances from the average solution to support multiple criteria intelligent decisions involving uncertainty, https://doi.org/10.1016/j.engappai.2022.105499
• Kee Khoon Gary Lee, Henry Kasim, Weigui Jair Zhou, Rajendra Prasad Sirigina, Gih Guang Terence Hung, Feature redundancy assessment framework for subject matter experts, https://doi.org/10.1016/j.engappai.2022.105456
• Serhat Duman, Hamdi Tolga Kahraman, Mehmet Kati, Economical operation of modern power grids incorporating uncertainties of renewable energy sources and load demand using the adaptive fitness-distance balance-based stochastic fractal search algorithm, https://doi.org/10.1016/j.engappai.2022.105501
• Oded Koren, Michal Koren, Or Peretz, A procedure for anomaly detection and analysis, https://doi.org/10.1016/j.engappai.2022.105503
• Likun Wang, Guoyan Wang, Zi Wang, Alison Turner, Svetan Ratchev, Uncertainty-propagated Cartesian coordinated human–robot collaboration on Riemannian manifold with hidden state-space model, https://doi.org/10.1016/j.engappai.2022.105491
• Lin Li, Qiangwei Zhang, Tie Zhang, Yanbiao Zou, Vibration suppression of ball-screw drive system based on flexible dynamics model, https://doi.org/10.1016/j.engappai.2022.105506
• Qingsong Xiong, Haibei Xiong, Cheng Yuan, Qingzhao Kong, A novel deep convolutional image-denoiser network for structural vibration signal denoising, https://doi.org/10.1016/j.engappai.2022.105507
• Xiaoyu Zhao, Zhiqiang Gong, Yunyang Zhang, Wen Yao, Xiaoqian Chen, Physics-informed convolutional neural networks for temperature field prediction of heat source layout without labeled data, https://doi.org/10.1016/j.engappai.2022.105516
• Lin Chen, Haibei Xiong, Xiuquan Li, Yurong Lu, Qingzhao Kong, An ensemble learning approach to condition assessment of dissipative CLT connections based on piezoceramic sensor data, https://doi.org/10.1016/j.engappai.2022.105514
• Tingting Gong, Wujie Zhou, Xiaohong Qian, Jingsheng Lei, Lu Yu, Global contextually guided lightweight network for RGB-thermal urban scene understanding, https://doi.org/10.1016/j.engappai.2022.105510
• Lijun Yang, Lulu Yan, Xiaoge Wei, Xiaohui Yang, Label consistency-based deep semisupervised NMF for tumor recognition, https://doi.org/10.1016/j.engappai.2022.105511
• Weizhong Wang, Xiao Han, Weiping Ding, Qun Wu, Xiaoqing Chen, Muhammet Deveci, A Fermatean fuzzy Fine–Kinney for occupational risk evaluation using extensible MARCOS with prospect theory, https://doi.org/10.1016/j.engappai.2022.105518
• Yike Zhao, Xin Zhang, Jiaxu Wang, Lei Wu, Zhiwen Liu, Lei Wang, A new data fusion driven-sparse representation learning method for bearing intelligent diagnosis in small and unbalanced samples, https://doi.org/10.1016/j.engappai.2022.105513
• Atefe Alitaleshi, Hamid Jazayeriy, Javad Kazemitabar, EA-CNN: A smart indoor 3D positioning scheme based on Wi-Fi fingerprinting and deep learning, https://doi.org/10.1016/j.engappai.2022.105509
• Mengping Yang, Saisai Niu, Zhe Wang, Dongdong Li, Wenli Du, DFSGAN: Introducing editable and representative attributes for few-shot image generation, https://doi.org/10.1016/j.engappai.2022.105519
• Zubair Khaliq, Dawood Ashraf Khan, Sheikh Umar Farooq, Using deep learning for selenium web UI functional tests: A case-study with e-commerce applications, https://doi.org/10.1016/j.engappai.2022.105446
• Huajin Zhang, Shunchuan Wu, Zhongxin Zhang, Longqiang Han, Rock joint roughness determination method based on deep learning of time–frequency spectrogram, https://doi.org/10.1016/j.engappai.2022.105505
• Hengjie Zhang, Xiaomin Wang, Weijun Xu, Yucheng Dong, From numerical to heterogeneous linguistic best–worst method: Impacts of personalized individual semantics on consistency and consensus, https://doi.org/10.1016/j.engappai.2022.105495
• G. Chakrapani, V. Sugumaran, Transfer learning based fault diagnosis of automobile dry clutch system, https://doi.org/10.1016/j.engappai.2022.105522
• Mengran Wan, Chunming Ye, Dajiang Peng, Multi-period dynamic multi-objective emergency material distribution model under uncertain demand, https://doi.org/10.1016/j.engappai.2022.105530
• Xiaozhuan Gao, Yong Deng, Inferable dynamic Markov model to predict interference effects, https://doi.org/10.1016/j.engappai.2022.105512
• Morteza Moradi, Agnes Broer, Juan Chiachío, Rinze Benedictus, Theodoros H. Loutas, Dimitrios Zarouchas, Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data, https://doi.org/10.1016/j.engappai.2022.105502
• Yating Liu, Siqi Wu, Congcong Li, Yucheng Dong, Exploring 2-rank strategic weight manipulation in multiple attribute decision making and its applications in project review and university ranking, https://doi.org/10.1016/j.engappai.2022.105525
• Tiancheng Zong, Junhong Li, Guoping Lu, Parameter identification of dual-rate Hammerstein-Volterra nonlinear systems by the hybrid particle swarm-gradient algorithm based on the auxiliary model, https://doi.org/10.1016/j.engappai.2022.105526
• Soufiane Mallem, Abul Hasnat, Amir Nakib, Efficient Meta label correction based on Meta Learning and bi-level optimization, https://doi.org/10.1016/j.engappai.2022.105517
• Yanzhi Qi, Cheng Yuan, Peizhen Li, Qingzhao Kong, Damage analysis and quantification of RC beams assisted by Damage-T Generative Adversarial Network, https://doi.org/10.1016/j.engappai.2022.105536
• Abolfazl Shirazi, Josu Ceberio, Jose A. Lozano, Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques, https://doi.org/10.1016/j.engappai.2022.105523
• Thomas Veran, Pierre-Edouard Portier, François Fouquet, Interpretable hierarchical symbolic regression for safety-critical systems with an application to highway crash prediction, https://doi.org/10.1016/j.engappai.2022.105534
• Jaeseok Yun, Daehee Kim, Dong Min Kim, Taewon Song, Jiyoung Woo, GAN-based sensor data augmentation: Application for counting moving people and detecting directions using PIR sensors, https://doi.org/10.1016/j.engappai.2022.105508
• Ömer Faruk Görçün, Dragan Pamucar, Raghunathan Krishankumar, Hande Küçükönder, The selection of appropriate Ro-Ro Vessel in the second-hand market using the WASPAS’ Bonferroni approach in type 2 neutrosophic fuzzy environment, https://doi.org/10.1016/j.engappai.2022.105531
• Jie Qian, Ping Wang, Chenggen Pu, Xiaoli Peng, Gonggui Chen, Application of effective gravitational search algorithm with constraint priority and expert experience in optimal allocation problems of distribution network, https://doi.org/10.1016/j.engappai.2022.105533
• Saeed Ullah, Abdalraheem A. Ijjeh, Pawel Kudela, Deep learning approach for delamination identification using animation of Lamb waves, https://doi.org/10.1016/j.engappai.2022.105520
• Cunxiao Shen, Hanyuan Zhang, Songping Meng, Chengdong Li, Augmented data driven self-attention deep learning method for imbalanced fault diagnosis of the HVAC chiller, https://doi.org/10.1016/j.engappai.2022.105540
• Wilhelm Kirchgässner, Oliver Wallscheid, Joachim Böcker, Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning, https://doi.org/10.1016/j.engappai.2022.105537
• Junfeng Li, Yuanxun Yang, HM-YOLOv5: A fast and accurate network for defect detection of hot-pressed light guide plates, https://doi.org/10.1016/j.engappai.2022.105529
• Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen, Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning, https://doi.org/10.1016/j.engappai.2022.105535
• Yeyong Yu, Xing Wu, Quan Qian, Better utilization of materials’ compositions for predicting their properties: Material composition visualization network, https://doi.org/10.1016/j.engappai.2022.105539
• M. Cervantes-Bobadilla, J. García-Morales, Y.I. Saavedra-Benítez, J.A. Hernández-Pérez, M. Adam-Medina, G.V. Guerrero-Ramírez, R.F. Escobar-Jímenez, Multiple fault detection and isolation using artificial neural networks in sensors of an internal combustion engine, https://doi.org/10.1016/j.engappai.2022.105524
• Xiaoliang Niu, Zhaohui Yang, Ningning Zhou, Chonghe Li, A novel method for cage whirl motion capture of high-precision bearing inspired by U-Net, https://doi.org/10.1016/j.engappai.2022.105552
• Teresa Pamuła, Renata Żochowska, Estimation and prediction of the OD matrix in uncongested urban road network based on traffic flows using deep learning, https://doi.org/10.1016/j.engappai.2022.105550
• Min-Hye Oh, Kitae Lee, Sihyun Kim, Byung-Gook Park, Data-driven multi-objective optimization with neural network-based sensitivity analysis for semiconductor devices, https://doi.org/10.1016/j.engappai.2022.105546
• Yiyin Tang, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang, Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes, https://doi.org/10.1016/j.engappai.2022.105547
• Xi Chen, Jie Jiang, Zhiqiang Li, Honggang Qi, Qingli Li, Jiapeng Liu, Laiwen Zheng, Min Liu, Yongqiang Deng, An online continual object detector on VHR remote sensing images with class imbalance, https://doi.org/10.1016/j.engappai.2022.105549
• Majid Sepahvand, Fardin Abdali-Mohammadi, Amir Taherkordi, An adaptive teacher–student learning algorithm with decomposed knowledge distillation for on-edge intelligence, https://doi.org/10.1016/j.engappai.2022.105560
• Xiangzhao Xia, Xuyun Fu, Shisheng Zhong, Zhengfeng Bai, Yanchao Wang, Gravity particle swarm optimization algorithm for solving shop visit balancing problem for repairable equipment, https://doi.org/10.1016/j.engappai.2022.105543
• Xin Gao, Hanlin Bai, Yijin Xiong, Zefeng Bao, Guoying Zhang, Robust lane line segmentation based on group feature enhancement, https://doi.org/10.1016/j.engappai.2022.105568
• Sobhan Sarkar, Anima Pramanik, J. Maiti, An integrated approach using rough set theory, ANFIS, and Z-number in occupational risk prediction, https://doi.org/10.1016/j.engappai.2022.105515
• Miguel García-Torres, Roberto Ruiz, Federico Divina, Evolutionary feature selection on high dimensional data using a search space reduction approach, https://doi.org/10.1016/j.engappai.2022.105556
• Vikanksh Nath, Chiranjoy Chattopadhyay, K.A. Desai, On enhancing prediction abilities of vision-based metallic surface defect classification through adversarial training, https://doi.org/10.1016/j.engappai.2022.105553
• Mehdi Jamei, Iman Ahmadianfar, Masoud Karbasi, Anurag Malik, Ozgur Kisi, Zaher Mundher Yaseen, Development of wavelet-based Kalman Online Sequential Extreme Learning Machine optimized with Boruta-Random Forest for drought index forecasting, https://doi.org/10.1016/j.engappai.2022.105545
• Li Gao, Sheng-long Yang, Bin Meng, Guo-xiang Tong, Hai-Ping Fan, Gui-Song Yang, Frequency matching optimization model of ultrasonic scalpel transducer based on neural network and reinforcement learning, https://doi.org/10.1016/j.engappai.2022.105572
• Samarth Godara, Durga Toshniwal, Ram Swaroop Bana, Deepak Singh, Jatin Bedi, Rajender Parsad, Jai Prakash Singh Dabas, Abimanyu Jhajhria, Shruti Godara, Raju Kumar, Sudeep Marwaha, AgrIntel: Spatio-temporal profiling of nationwide plant-protection problems using helpline data, https://doi.org/10.1016/j.engappai.2022.105555
• Merve Bulut, Evrencan Özcan, Ranking of advertising goals on social network sites by Pythagorean fuzzy hierarchical decision making: Facebook, https://doi.org/10.1016/j.engappai.2022.105542
• Xuan Wang, Jinwen Cai, Rui Wang, Gequn Shu, Hua Tian, Mingtao Wang, Bowen Yan, Deep reinforcement learning-PID based supervisor control method for indirect-contact heat transfer processes in energy systems, https://doi.org/10.1016/j.engappai.2022.105551
• Yunxiang Zhou, Ankang Ji, Limao Zhang, Xiaolong Xue, Sampling-attention deep learning network with transfer learning for large-scale urban point cloud semantic segmentation, https://doi.org/10.1016/j.engappai.2022.105554
• Ingeborg de Pater, Mihaela Mitici, Developing health indicators and RUL prognostics for systems with few failure instances and varying operating conditions using a LSTM autoencoder, https://doi.org/10.1016/j.engappai.2022.105582
• Qiumei Zheng, Tao Yu, Fenghua Wang, Self-supervised monocular depth estimation based on combining convolution and multilayer perceptron, https://doi.org/10.1016/j.engappai.2022.105587
• Lu Wang, Chunhui Zhao, P. Takis Mathiopoulos, Tomoaki Ohtsuki, Heart action monitoring from pulse signals using a growing hybrid polynomial network, https://doi.org/10.1016/j.engappai.2022.105584
• Guoqing Liu, Hongwei Ge, Ting Li, Shuzhi Su, Shuangxi Wang, Robust multi-view subspace enhanced representation based on collaborative constraints and HSIC induction, https://doi.org/10.1016/j.engappai.2022.105585
• Rui Yuan, S. Ali Pourmousavi, Wen L. Soong, Giang Nguyen, Jon A.R. Liisberg, IRMAC: Interpretable Refined Motifs in Binary Classification for smart grid applications, https://doi.org/10.1016/j.engappai.2022.105588
• Jundong Guo, Hui Feng, Haixiang Xu, Wenzhao Yu, Sam shuzhi Ge, D3-Net: Integrated multi-task convolutional neural network for water surface deblurring, dehazing and object detection, https://doi.org/10.1016/j.engappai.2022.105558
• Fei Huang, Jian Xu, Di Wu, Yunfei Cui, Zheping Yan, Wen Xing, Xun Zhang, A general motion controller based on deep reinforcement learning for an autonomous underwater vehicle with unknown disturbances, https://doi.org/10.1016/j.engappai.2022.105589
• Jianhua Dong, Wenzhi Zeng, Lifeng Wu, Jiesheng Huang, Thomas Gaiser, Amit Kumar Srivastava, Enhancing short-term forecasting of daily precipitation using numerical weather prediction bias correcting with XGBoost in different regions of China, https://doi.org/10.1016/j.engappai.2022.105579
• Yu Li, Anisha Parsan, Bill Wang, Penghao Dong, Shanshan Yao, Ruwen Qin, A multi-tasking model of speaker-keyword classification for keeping human in the loop of drone-assisted inspection, https://doi.org/10.1016/j.engappai.2022.105597
• Tania B. Lopez-Garcia, José A. Domínguez-Navarro, Power flow analysis via typed graph neural networks, https://doi.org/10.1016/j.engappai.2022.105567
• Chang Liu, Shiwu Yang, A text mining-based approach for understanding Chinese railway incidents caused by electromagnetic interference, https://doi.org/10.1016/j.engappai.2022.105598
• Gang Chen, Zhifeng Chen, Liangmo Wang, Weigong Zhang, Deep Deterministic Policy Gradient and Active Disturbance Rejection Controller based coordinated control for gearshift manipulator of driving robot, https://doi.org/10.1016/j.engappai.2022.105586
• Shailendra S. Aote, Anjusha Pimpalshende, Archana Potnurwar, Shantanu Lohi, Binary Particle Swarm Optimization with an improved genetic algorithm to solve multi-document text summarization problem of Hindi documents, https://doi.org/10.1016/j.engappai.2022.105575
• Gongping Chen, Yu Dai, Jianxun Zhang, RRCNet: Refinement residual convolutional network for breast ultrasound images segmentation, https://doi.org/10.1016/j.engappai.2022.105601
• Junjie Huang, Yi Fan, Fuyuan Xiao, On some bridges to complex evidence theory, https://doi.org/10.1016/j.engappai.2022.105605
• Qianlei Jia, Jiayue Hu, Weiguo Zhang, Shaobo Zhai, Zhaoxing Li, A new situation assessment method for aerial targets based on linguistic fuzzy sets and trapezium clouds, https://doi.org/10.1016/j.engappai.2022.105610
• Zhaoke Huang, Chunhua Yang, Xiaojun Zhou, Weihua Gui, An improved TOPSIS-based multi-criteria decision-making approach for evaluating the working condition of the aluminum reduction cell, https://doi.org/10.1016/j.engappai.2022.105599
• Pengzhen Lu, Kai Ye, Tian Jin, Yiheng Ma, Simin Huang, Chenhao Zhou, Design method for polyurethane-modified asphalt by using Kriging-Particle Swarm Optimization algorithm, https://doi.org/10.1016/j.engappai.2022.105609
• Lynn Vonder Haar, Timothy Elvira, Omar Ochoa, An analysis of explainability methods for convolutional neural networks, https://doi.org/10.1016/j.engappai.2022.105606
• Sandro Costa Magalhães, Filipe Neves dos Santos, Pedro Machado, António Paulo Moreira, Jorge Dias, Benchmarking edge computing devices for grape bunches and trunks detection using accelerated object detection single shot multibox deep learning models, https://doi.org/10.1016/j.engappai.2022.105604
• Lijuan Ren, Liangxiao Jiang, Chaoqun Li, Label confidence-based noise correction for crowdsourcing, https://doi.org/10.1016/j.engappai.2022.105624
• C.M. Pareek, V.K. Tewari, Rajendra Machavaram, Multi-objective optimization of seeding performance of a pneumatic precision seed metering device using integrated ANN-MOPSO approach, https://doi.org/10.1016/j.engappai.2022.105559
• Heng Liu, Yao Xu, Feng Chen, Sketch2Photo: Synthesizing photo-realistic images from sketches via global contexts, https://doi.org/10.1016/j.engappai.2022.105608
• Xiang-Kun Zhao, Xiao-Min Zhu, Kai-Yuan Bai, Run-Tong Zhang, A novel failure mode and effect analysis method using a flexible knowledge acquisition framework based on picture fuzzy sets, https://doi.org/10.1016/j.engappai.2022.105625
• Yuzhong Zhang, Wenjing Wang, Zhaoming Li, Shuangbao Shu, Xianli Lang, Tengda Zhang, Jingtao Dong, Development of a cross-scale weighted feature fusion network for hot-rolled steel surface defect detection, https://doi.org/10.1016/j.engappai.2022.105628
• T. Sunil Kumar, Kandala N.V.P.S. Rajesh, Shishir Maheswari, Vivek Kanhangad, U. Rajendra Acharya, Automated Schizophrenia detection using local descriptors with EEG signals, https://doi.org/10.1016/j.engappai.2022.105602
• Manar Abu Talib, Mohamed Abdallah, Abdulrahman Abdeljaber, Omnia Abu Waraga, Influence of exogenous factors on water demand forecasting models during the COVID-19 period, https://doi.org/10.1016/j.engappai.2022.105617
• Abdulaziz Alorf, A survey of recently developed metaheuristics and their comparative analysis, https://doi.org/10.1016/j.engappai.2022.105622
• Ting Ke, Yangyang Liao, Mengyan Wu, Xuechun Ge, Xinyi Huang, Chuanlei Zhang, Jianrong Li, Maximal margin hyper-sphere SVM for binary pattern classification, https://doi.org/10.1016/j.engappai.2022.105615
Correspondence
• Arkadiusz Ambroziak, Adrian Chojecki, The PID controller optimisation module using Fuzzy Self-Tuning PSO for Air Handling Unit in continuous operation, https://doi.org/10.1016/j.engappai.2022.105485
Short Survey
• Dihao Ai, Guiyuan Jiang, Siew-Kei Lam, Peilan He, Chengwu Li, Computer vision framework for crack detection of civil infrastructure—A review, https://doi.org/10.1016/j.engappai.2022.105478
• Jiarui Xie, Manuel Sage, Yaoyao Fiona Zhao, Feature selection and feature learning in machine learning applications for gas turbines: A review, https://doi.org/10.1016/j.engappai.2022.105591
• Thien Huynh-The, Quoc-Viet Pham, Xuan-Qui Pham, Thanh Thi Nguyen, Zhu Han, Dong-Seong Kim, Artificial intelligence for the metaverse: A survey, https://doi.org/10.1016/j.engappai.2022.105581
• Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua, Yassine Himeur, Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations, https://doi.org/10.1016/j.engappai.2022.105532
Special Issue on Intelligent Control and Optimisation
• Xueyun Wang, Yifan Li, Zhiyuan Quan, Jiabao Wu, Optimal trajectory-tracking guidance for reusable launch vehicle based on adaptive dynamic programming, https://doi.org/10.1016/j.engappai.2022.105497
• Peng Yu, Ning Tan, Zhiyan Zhong, Comparative studies and performance analysis on neural-dynamics-driven control of redundant robot manipulators with unknown models, https://doi.org/10.1016/j.engappai.2022.105528
• Robin F. Conchas, Edgar N. Sanchez, Luis J. Ricalde, Jesus G. Alvarez, Alma Y. Alanis, Sensor fault-tolerant control for a doubly fed induction generator in a smart grid, https://doi.org/10.1016/j.engappai.2022.105527
