Contributed by Kay Tancock, k.tancock@elsevier.com
Research Papers
• Rongsong Gou, Guangzhu Chen, Chengliang Yan, Xin Pu, Yuanyuan Wu, Yuan Tang, Three-dimensional dynamic uncertainty semantic SLAM method for a production workshop, https://doi.org/10.1016/j.engappai.2022.105325
• Zhi Wang, Qiang Lin, Yingyi Chen, Ping Zhong, Block-based multi-view classification via view-based L2,p sparse representation and adaptive view fusion, https://doi.org/10.1016/j.engappai.2022.105337
• Bing Liu, Yuxuan Xie, Lei Feng, Ping Fu, Correcting biased value estimation in mixing value-based multi-agent reinforcement learning by multiple choice learning, https://doi.org/10.1016/j.engappai.2022.105329
• Hyunsoo Lee, Heungjo An, Dong-Wook Lee, Time-staged photoelastic image prediction using multi-stage convolutional autoencoders, https://doi.org/10.1016/j.engappai.2022.105265
• Arunabha M. Roy, Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface, https://doi.org/10.1016/j.engappai.2022.105347
• Zhiqiang Geng, Xiaoyan Duan, Jiatong Li, Chong Chu, Yongming Han, Risk prediction model for food safety based on improved random forest integrating virtual sample, https://doi.org/10.1016/j.engappai.2022.105352
• Liang Xi, Zichao Yun, Han Liu, Ruidong Wang, Xunhua Huang, Haoyi Fan, Semi-supervised Time Series Classification Model with Self-supervised Learning, https://doi.org/10.1016/j.engappai.2022.105331
• Xuan Liu, Genlang Chen, Wanli Zuo, Effective algorithms to mine skyline frequent-utility itemsets, https://doi.org/10.1016/j.engappai.2022.105355
• Biao Wang, Wenjing Wang, Guanglei Meng, Zhihua Qiao, Yuming Guo, Na Wang, Wei Wang, Zhizhong Mao, Boosting the prediction of molten steel temperature in ladle furnace with a dynamic outlier ensemble, https://doi.org/10.1016/j.engappai.2022.105359
• Janghun Hyeon, Joohyung Kim, Hyunga Choi, Bumchul Jang, Jaehyeon Kang, Nakju Doh, Spatial template-based geometric complexity reduction method for photo-realistic modeling of large-scale indoor spaces, https://doi.org/10.1016/j.engappai.2022.105369
• Taewoo Kim, Pamul Yadav, Ho Suk, Shiho Kim, Learning unsupervised disentangled skill latents to adapt unseen task and morphological modifications, https://doi.org/10.1016/j.engappai.2022.105367
• Melike Erdogan, Ertugrul Ayyildiz, Investigation of the pharmaceutical warehouse locations under COVID-19—A case study for Duzce, Turkey, https://doi.org/10.1016/j.engappai.2022.105389
• Qianli Zhou, Yong Deng, NPNT: Non-oscillating Process Negation Transformation of mass functions and a negation-based discounting method in information fusion, https://doi.org/10.1016/j.engappai.2022.105381
• Franjo Matkovic, Marina Ivasic-Kos, Slobodan Ribaric, A new approach to dominant motion pattern recognition at the macroscopic crowd level, https://doi.org/10.1016/j.engappai.2022.105387
• Kai Wu, Jing Liu, Learning large-scale fuzzy cognitive maps under limited resources, https://doi.org/10.1016/j.engappai.2022.105376
• Hengshuai Cui, Jinjiang Li, Zhen Hua, Linwei Fan, TPET: Two-stage Perceptual Enhancement Transformer Network for Low-light Image Enhancement, https://doi.org/10.1016/j.engappai.2022.105411
• Junde Chen, Weirong Chen, Adan Zeb, Defu Zhang, Segmentation of medical images using an attention embedded lightweight network, https://doi.org/10.1016/j.engappai.2022.105416
• Shuzhi Gao, Yifan Yu, Yimin Zhang, Reliability assessment and prediction of rolling bearings based on hybrid noise reduction and BOA-MKRVM, https://doi.org/10.1016/j.engappai.2022.105391
• Yupeng Gao, Ruixin Bao, Zhen Pan, Guiyang Ma, Jia Li, Xiuquan Cai, Qiqiang Peng, Mechanical equipment health management method based on improved intuitionistic fuzzy entropy and case reasoning technology, https://doi.org/10.1016/j.engappai.2022.105372
• Xiaoqing Chen, Xinwang Liu, Qun Wu, Muhammet Deveci, Luis Martínez, Measuring technological innovation efficiency using interval type-2 fuzzy super-efficiency slack-based measure approach, https://doi.org/10.1016/j.engappai.2022.105405
• Yuan Xu, Shifeng Liu, Jun Wang, Xiaopu Shang, A novel two-stage TOPSIS approach based on interval-valued probabilistic linguistic q-rung orthopair fuzzy sets with its application to MAGDM problems, https://doi.org/10.1016/j.engappai.2022.105413
• Ruopeng Huang, Kaijian Li, Guiwen Liu, Asheem Shrestha, Ruidong Chang, Xiaoya Tang, A bi-level model and hybrid heuristic algorithm for the optimal location of prefabricated building industrial park, https://doi.org/10.1016/j.engappai.2022.105393
• Harun Surej Ilango, Maode Ma, Rong Su, A misbehavior detection system to detect novel position falsification attacks in the Internet of Vehicles, https://doi.org/10.1016/j.engappai.2022.105380
• Oscar Castillo, Juan R. Castro, Patricia Melin, Interval type-3 fuzzy fractal approach in sound speaker quality control evaluation, https://doi.org/10.1016/j.engappai.2022.105363
• Wentao Fan, Fuyuan Xiao, A complex Jensen–Shannon divergence in complex evidence theory with its application in multi-source information fusion, https://doi.org/10.1016/j.engappai.2022.105362
• Shen Jiang, Jinjiang Li, Zhen Hua, DPCFN: Dual path cross fusion network for medical image segmentation, https://doi.org/10.1016/j.engappai.2022.105420
• Fangyi Wan, Ting Ma, Yi Hua, Bin Liao, Xinlin Qing, Secure distributed estimation under Byzantine attack and manipulation attack, https://doi.org/10.1016/j.engappai.2022.105384
• Zijie Wang, Jingyi Xue, Xili Wan, Aichun Zhu, Yifeng Li, Xiaomei Zhu, Fangqiang Hu, ASPD-Net: Self-aligned part mask for improving text-based person re-identification with adversarial representation learning, https://doi.org/10.1016/j.engappai.2022.105419
• Chenfan Liu, Junqi Shen, Shengsun Hu, Dingyong Wu, Chao Zhang, Hui Yang, Seam tracking system based on laser vision and CGAN for robotic multi-layer and multi-pass MAG welding, https://doi.org/10.1016/j.engappai.2022.105377
• Kai Meng, Qiuhua Tang, Zikai Zhang, Robust assembly line balancing problem considering preventive maintenance scenarios with interval processing time, https://doi.org/10.1016/j.engappai.2022.105417
• Li Yang, Abdallah Shami, IoT data analytics in dynamic environments: From an automated machine learning perspective, https://doi.org/10.1016/j.engappai.2022.105366
• Soheila Nazari, Alireza Keyanfar, Marc M. Van Hulle, Neuromorphic circuit based on the un-supervised learning of biologically inspired spiking neural network for pattern recognition, https://doi.org/10.1016/j.engappai.2022.105430
• Zhaobin Chang, Yonggang Lu, Xiangwen Wang, Xingcheng Ran, MGNet: Mutual-guidance network for few-shot semantic segmentation, https://doi.org/10.1016/j.engappai.2022.105431
• Lipeng Pan, Xiaozhuan Gao, Yong Deng, A distance of quantum mass function and its application in multi-source information fusion method based on discount coefficient, https://doi.org/10.1016/j.engappai.2022.105407
• Yingjuan Jia, Liangdong Qu, Xiaoqin Li, A double-layer coding model with a rotation-based particle swarm algorithm for unmanned combat aerial vehicle path planning, https://doi.org/10.1016/j.engappai.2022.105410
• Yuan Rong, Liying Yu, Wenyao Niu, Yi Liu, Tapan Senapati, Arunodaya Raj Mishra, MARCOS approach based upon cubic Fermatean fuzzy set and its application in evaluation and selecting cold chain logistics distribution center, https://doi.org/10.1016/j.engappai.2022.105401
• Tong Wang, Liyue Fu, Yuhu Zhou, Shan Gao, Service price forecasting of urban charging infrastructure by using deep stacked CNN-BiGRU network, https://doi.org/10.1016/j.engappai.2022.105445
• Bo Yang, Yang Zhang, Shilong Wang, Weichun Xu, Meng Xiao, Yan He, Fan Mo, A global interactive attention-based lightweight denoising network for locating internal defects of CFRP laminates, https://doi.org/10.1016/j.engappai.2022.105436
• Kaitai Dong, Igor Romanov, Colin McLellan, Ahmet F. Esen, Recent text-based research and applications in railways: A critical review and future trends, https://doi.org/10.1016/j.engappai.2022.105435
• Ali Arishi, Krishna Krishnan, Majed Arishi, Machine learning approach for truck-drones based last-mile delivery in the era of industry 4.0, https://doi.org/10.1016/j.engappai.2022.105439
• Hai-Wu Lee, Research on multi-functional logistics intelligent Unmanned Aerial Vehicle, https://doi.org/10.1016/j.engappai.2022.105341
• Nawaf Abdulla, Mehmet Demirci, Suat Ozdemir, Design and evaluation of adaptive deep learning models for weather forecasting, https://doi.org/10.1016/j.engappai.2022.105440
• Hong-Gui Han, Xiao-Ye Fan, Fang-Yu Li, Self-organizing broad network using information evaluation method, https://doi.org/10.1016/j.engappai.2022.105447
• Fuqing Zhao, Shilu Di, Ling Wang, Tianpeng Xu, Ningning Zhu, Jonrinaldi, A self-learning hyper-heuristic for the distributed assembly blocking flow shop scheduling problem with total flowtime criterion, https://doi.org/10.1016/j.engappai.2022.105418
• Chun Yan, Jiahui Liu, Wei Liu, Xinhong Liu, Research on public opinion sentiment classification based on attention parallel dual-channel deep learning hybrid model, https://doi.org/10.1016/j.engappai.2022.105448
• Zitong Guo, Hao Huang, Zhongde Shan, Jihua Huang, Zhuojian Hou, Wenfeng Li, A digital implantation system for Z-direction yarn of three-dimensional preform based on flexible oriented woven process, https://doi.org/10.1016/j.engappai.2022.105385
• António Gaspar-Cunha, Francisco Monaco, Janusz Sikora, Alexandre Delbem, Artificial intelligence in single screw polymer extrusion: Learning from computational data, https://doi.org/10.1016/j.engappai.2022.105397
• T. Arulkumar Assistant Professor, N. Chandrasekaran Professor, Development of improved sparrow search-based PI controller for power quality enhancement using UPQC integrated with medical devices, https://doi.org/10.1016/j.engappai.2022.105444
• Fuqing Zhao, Haizhu Bao, Ling Wang, Tianpeng Xu, Ningning Zhu, Jonrinaldi, A heuristic and meta-heuristic based on problem-specific knowledge for distributed blocking flow-shop scheduling problem with sequence-dependent setup times, https://doi.org/10.1016/j.engappai.2022.105443
• Amir Bidokhti, Shahrokh Ghaemmaghami, Compound short- and long-term memory for memory augmented neural networks, https://doi.org/10.1016/j.engappai.2022.105450
• Yun Liu, Zhongsheng Yan, Tian Ye, Aimin Wu, Yuche Li, Single nighttime image dehazing based on unified variational decomposition model and multi-scale contrast enhancement, https://doi.org/10.1016/j.engappai.2022.105373
• Junxiu Liu, Xiuhao Liang, Rixing Yang, Yuling Luo, Hao Lu, Liangjia Li, Shunsheng Zhang, Su Yang, Federated learning-based vertebral body segmentation, https://doi.org/10.1016/j.engappai.2022.105451
• Rogério Luís de C. Costa, Convolutional-LSTM networks and generalization in forecasting of household photovoltaic generation, https://doi.org/10.1016/j.engappai.2022.105458
• Mohd Shoaib Khan, Q.M. Danish Lohani, Topological analysis of intuitionistic fuzzy distance measures with applications in classification and clustering, https://doi.org/10.1016/j.engappai.2022.105415
• Muhammad Jabir Khan, Wiyada Kumam, Nasser Aedh Alreshidi, Divergence measures for circular intuitionistic fuzzy sets and their applications, https://doi.org/10.1016/j.engappai.2022.105455
• T. Ahila, A.C. Subhajini, E-GCS: Detection of COVID-19 through classification by attention bottleneck residual network, https://doi.org/10.1016/j.engappai.2022.105398
• Wei Li, Yajun Du, Xianyong Li, Xiaoliang Chen, Chunzhi Xie, Hui Li, Xiaolei Li, UD_BBC: Named entity recognition in social network combined BERT-BiLSTM-CRF with active learning, https://doi.org/10.1016/j.engappai.2022.105460
• Zixu Liu, Qian Wang, Fanlin Meng, A benchmark for multi-class object counting and size estimation using deep convolutional neural networks, https://doi.org/10.1016/j.engappai.2022.105449
• Yongjie Zhai, Ke Yang, Zhenyuan Zhao, Qianming Wang, Kang Bai, Geometric characteristic learning R-CNN for shockproof hammer defect detection, https://doi.org/10.1016/j.engappai.2022.105429
• Ruan G.S. Gomes, Guilherme J.C. Gomes, Jasper A. Vrugt, A hybrid multi-step sensitivity-driven evolutionary polynomial regression enables robust model structure selection, https://doi.org/10.1016/j.engappai.2022.105421
• Pouya Khodaee, Akbar Esfahanipour, Hassan Mehtari Taheri, Forecasting turning points in stock price by applying a novel hybrid CNN-LSTM-ResNet model fed by 2D segmented images, https://doi.org/10.1016/j.engappai.2022.105464
• Yanyan Zhang, Zhiliang Shi, Yuhao Zhang, Adioc loss: An Auxiliary descent IoC loss function, https://doi.org/10.1016/j.engappai.2022.105453
• Dimitrios Pylorof, Humberto E. Garcia, A reinforcement learning approach to long-horizon operations, health, and maintenance supervisory control of advanced energy systems, https://doi.org/10.1016/j.engappai.2022.105454
• Adel Mellit, An embedded solution for fault detection and diagnosis of photovoltaic modules using thermographic images and deep convolutional neural networks, https://doi.org/10.1016/j.engappai.2022.105459
• Isaac Osei Agyemang, Xiaoling Zhang, Daniel Acheampong, Isaac Adjei-Mensah, Enoch Opanin Gyamfi, Joseph Roger Arhin, Williams Ayivi, Chikwendu Ijeoma Amuche, RPNet: Rotational pooling net for efficient Micro Aerial Vehicle trail navigation, https://doi.org/10.1016/j.engappai.2022.105468
• Alireza Jafari, Saman Haratizadeh, GCNET: Graph-based prediction of stock price movement using graph convolutional network, https://doi.org/10.1016/j.engappai.2022.105452
• Wanan Liu, Hong Fan, Min Xia, Congyuan Pang, Predicting and interpreting financial distress using a weighted boosted tree-based tree, https://doi.org/10.1016/j.engappai.2022.105466
• Jing Lei, Qibin Liu, Xueyao Wang, Physics-informed multi-fidelity learning-driven imaging method for electrical capacitance tomography, https://doi.org/10.1016/j.engappai.2022.105467
• Garima Bhandari, Ritu Raj, Pushparaj Mani Pathak, Jung-Min Yang, Robust control of a planar snake robot based on interval type-2 Takagi–Sugeno fuzzy control using genetic algorithm, https://doi.org/10.1016/j.engappai.2022.105437
• Kamran Shaukat, Suhuai Luo, Vijay Varadharajan, A novel method for improving the robustness of deep learning-based malware detectors against adversarial attacks, https://doi.org/10.1016/j.engappai.2022.105461
• Yan Liu, Bingsong Chen, Qiuxian Dong, Weidong Liu, Wenbin Nie, Chao Yang, Failure mode risk assessment methodology for controlling multi-uncertainties in the evaluation process, https://doi.org/10.1016/j.engappai.2022.105470
• Qiang Liu, Baojia Chen, Robust visual odometry using sparse optical flow network, https://doi.org/10.1016/j.engappai.2022.105471
• Xingyu Zhang, Xiongwei Zhang, Wei Liu, Xia Zou, Meng Sun, Jian Zhao, Waveform level adversarial example generation for joint attacks against both automatic speaker verification and spoofing countermeasures, https://doi.org/10.1016/j.engappai.2022.105469
• Betania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João Marcos Travassos Romano, Dealing with multi-criteria decision analysis in time-evolving approach using a probabilistic prediction method, https://doi.org/10.1016/j.engappai.2022.105462
• Muhammad Yasir, Ali Haidar, Muhammad Umar Chaudhry, Muhammad Asif Habib, Aamir Hussain, Elżbieta Jasińska, Zbigniew Leonowicz, Michał Jasiński, Performing in-situ analytics: Mining frequent patterns from big IoT data at network edge with D-HARPP, https://doi.org/10.1016/j.engappai.2022.105480
• J.A. Romero-del-Castillo, Manuel Mendoza-Hurtado, Domingo Ortiz-Boyer, Nicolás García-Pedrajas, Local-based k values for multi-label k-nearest neighbors rule, https://doi.org/10.1016/j.engappai.2022.105487
• Panjun Sun, Shigen Shen, Zongda Wu, Haiping Zhou, Xiao-Zhi Gao, Stimulating trust cooperation in edge services: An evolutionary tripartite game, https://doi.org/10.1016/j.engappai.2022.105465
• Luis Sigcha, Luigi Borzì, Ignacio Pavón, Nélson Costa, Susana Costa, Pedro Arezes, Juan Manuel López, Guillermo De Arcas, Improvement of Performance in Freezing of Gait detection in Parkinson’s Disease using Transformer networks and a single waist-worn triaxial accelerometer, https://doi.org/10.1016/j.engappai.2022.105482
• Nianyi Sun, Jin Zhao, Guangwei Wang, Chang Liu, Peng Liu, Xiong Tang, Jinbiao Han, Transformer-based moving target tracking method for Unmanned Aerial Vehicle, https://doi.org/10.1016/j.engappai.2022.105483
• Jie Hu, Huifang Kong, Qian Zhang, Runwu Liu, Enhancing scene understanding based on deep learning for end-to-end autonomous driving, https://doi.org/10.1016/j.engappai.2022.105474
• Shengshen Wu, Gaofeng Zhao, Bisheng Wu, Real-time prediction of the mechanical behavior of suction caisson during installation process using GA-BP neural network, https://doi.org/10.1016/j.engappai.2022.105475
• Fayadh Alenezi, Ammar Armghan, K.C. Santosh, Underwater image dehazing using global color features, https://doi.org/10.1016/j.engappai.2022.105489
• Yuming Li, Wei Zhang, Yanyan Liu, Rudong Jing, Changsong Liu, An efficient fire and smoke detection algorithm based on an end-to-end structured network, https://doi.org/10.1016/j.engappai.2022.105492
• Raimondo Gallo, Marco Castangia, Alberto Macii, Enrico Macii, Edoardo Patti, Alessandro Aliberti, Solar radiation forecasting with deep learning techniques integrating geostationary satellite images, https://doi.org/10.1016/j.engappai.2022.105493
• Sanaz Afshari, Javad Akbari Torkestani, Mehdi Fartash, LA-SPA: A new learning automata-based approach for the parking space selection and reservation, https://doi.org/10.1016/j.engappai.2022.105484
• Bryan E. Kaiser, Juan A. Saenz, Maike Sonnewald, Daniel Livescu, Automated identification of dominant physical processes, https://doi.org/10.1016/j.engappai.2022.105496
• Haixin Xiu, Yiyou Liang, Hui Zeng, Qing Li, Hongmin Liu, Bin Fan, Chen Li, Robust self-supervised monocular visual odometry based on prediction-update pose estimation network, https://doi.org/10.1016/j.engappai.2022.105481
• Binghai Zhou, Jingrao Bian, Multi-mechanism-based modified bi-objective Harris Hawks optimization for sustainable robotic disassembly line balancing problems, https://doi.org/10.1016/j.engappai.2022.105479
• Yuqin Xu, Quan Qian, i-SISSO: Mutual information-based improved sure independent screening and sparsifying operator algorithm, https://doi.org/10.1016/j.engappai.2022.105442
• Zhijun Li, Hojjat Adeli, New adaptive robust H∞ control of smart structures using synchrosqueezed wavelet transform and recursive least-squares algorithm, https://doi.org/10.1016/j.engappai.2022.105473
• Divya G. Nair, Jyothisha J. Nair, K. Jaideep Reddy, C.V. Aswartha Narayana, A privacy preserving diagnostic collaboration framework for facial paralysis using federated learning, https://doi.org/10.1016/j.engappai.2022.105476
• Cong He, Ming Liu, Peng Xiong, Jianli Yang, Haiman Du, Jinpeng Xu, Zengguang Hou, Xiuling Liu, Localization of myocardial infarction using a multi-branch weight sharing network based on 2-D vectorcardiogram, https://doi.org/10.1016/j.engappai.2022.105428
• Jiedi Sun, Zhao Liu, Jiangtao Wen, Rongrong Fu, Multiple hierarchical compression for deep neural network toward intelligent bearing fault diagnosis, https://doi.org/10.1016/j.engappai.2022.105498
• Jie Sun, Huamao Gu, Haoyu Peng, Yili Fang, Xun Wang, Geometrically interpretable Variance Hyper Rectangle learning for pattern classification, https://doi.org/10.1016/j.engappai.2022.105494
• Zia Ullah, Lin Qi, Asif Hasan, Muhammad Asim, Improved Deep CNN-based Two Stream Super Resolution and Hybrid Deep Model-based Facial Emotion Recognition, https://doi.org/10.1016/j.engappai.2022.105486
Correspondence
• Mohamed E. El-sayed, Arsany W. Youssef, Omar M. Shehata, Lamia A. Shihata, Eman Azab, Computer vision for package tracking on omnidirectional wheeled conveyor: Case study, https://doi.org/10.1016/j.engappai.2022.105438
Short Survey
• Rajni Aron, Ajith Abraham, Resource scheduling methods for cloud computing environment: The role of meta-heuristics and artificial intelligence, https://doi.org/10.1016/j.engappai.2022.105345
• Fan Liu, Delong Chen, Jun Zhou, Feng Xu, A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning, https://doi.org/10.1016/j.engappai.2022.105399
• Shubham Dodia, Annappa B., Padukudru A. Mahesh, Recent advancements in deep learning based lung cancer detection: A systematic review, https://doi.org/10.1016/j.engappai.2022.105490
• Lauren McMillan, Liz Varga, A review of the use of artificial intelligence methods in infrastructure systems, https://doi.org/10.1016/j.engappai.2022.105472
Special Issue on Intelligent Control and Optimisation
• Bruno R.O. Floriano, Alessandro N. Vargas, João Y. Ishihara, Henrique C. Ferreira, Neural-network-based model predictive control for consensus of nonlinear systems, https://doi.org/10.1016/j.engappai.2022.105327
• Rodrigo Pérez-Dattari, Bruno Brito, Oscar de Groot, Jens Kober, Javier Alonso-Mora, Visually-guided motion planning for autonomous driving from interactive demonstrations, https://doi.org/10.1016/j.engappai.2022.105277
• Sana Arastehfar, Mohammadjavad Matinkia, Mohammad Reza Jabbarpour, Short-term residential load forecasting using Graph Convolutional Recurrent Neural Networks, https://doi.org/10.1016/j.engappai.2022.105358
• Stefan Ivić, Ante Sikirica, Bojan Crnković, Constrained multi-agent ergodic area surveying control based on finite element approximation of the potential field, https://doi.org/10.1016/j.engappai.2022.105441
• Arash Bahari Kordabad, Sebastien Gros, Q-learning of the storage function in Economic Nonlinear Model Predictive Control, https://doi.org/10.1016/j.engappai.2022.105343
Special issue on Randomized Deep and Shallow Learning Algorithms
• Long Chen, Yin-Ping Zhao, Chuanbin Zhang, Efficient kernel fuzzy clustering via random Fourier superpixel and graph prior for color image segmentation, https://doi.org/10.1016/j.engappai.2022.105335
• Wen Xin Cheng, Ruobin Gao, P.N. Suganthan, Kum Fai Yuen, EEG-based emotion recognition using random Convolutional Neural Networks, https://doi.org/10.1016/j.engappai.2022.105349
• Zulfiqar Ahmad Khan, Tanveer Hussain, Fath U Min Ullah, Suneet Kumar Gupta, Mi Young Lee, Sung Wook Baik, Randomly Initialized CNN with Densely Connected Stacked Autoencoder for Efficient Fire Detection, https://doi.org/10.1016/j.engappai.2022.105403
• Weidong Zou, Yuanqing Xia, Weipeng Cao, Broad learning system based on driving amount and optimization solution, https://doi.org/10.1016/j.engappai.2022.105353
