ImageNet classification with deep convolutional neural networks
DOI 10.1145/3065386
Cited by (108,435)
Items 901–1,000 of 108,435
- Deeplysupervised netsChen‐Yu Lee, Saining Xie, Patrick Gallagher, Zhengyou Zhang, Zhuowen Tu · 2015
- Medical image classification with convolutional neural networkLi, Qing, Cai, Weidong, Wang, Xiaogang, Zhou, Yun, Feng, David Dagan, Chen, Mei · 2014 · 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)
- NISP: Pruning Networks Using Neuron Importance Score PropagationRuichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu, Xintong Han, Mingfei Gao, Ching‐Yung Lin, Larry Steven Davis · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Person Re-identification in the WildLiang Zheng, Hengheng Zhang, Shaoyan Sun, Manmohan Krishna Chandraker, Yi Yang, Qi Tian · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep LearningLinghao Song, Xuehai Qian, Hai Helen Li, Yiran Chen · 2017 · IEEE International Symposium on High-Performance Computer Architecture (HPCA)
- A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classificationÖzal Yıldırım · 2018 · Computers in Biology and Medicine
- Learning a Deep Compact Image Representation for Visual TrackingNaiyan Wang, Dit‐Yan Yeung · 2013 · Rare & Special e-Zone (The Hong Kong University of Science and Technology)
- Deep bilateral learning for real-time image enhancementMichaël Gharbi, Jiawen Chen, Jonathan T. Barron, Samuel William Hasinoff, Frédo Durand · 2017 · ACM Transactions on Graphics
- Deep Learning Hierarchical Representations for Image SteganalysisJian Ye, Jiangqun Ni, Yang Yi · 2017 · IEEE Transactions on Information Forensics and Security
- Fully convolutional networks for semantic segmentationJonathan Long, Evan Shelhamer, Trevor Darrell · 2014 · Computer Vision and Pattern Recognition
- Deep Learning for Content-Based Image RetrievalJi Wan, Dayong Wang, Steven C. H. Hoi, Pengcheng Wu, Jianke Zhu, Yongdong Zhang, Jintao Li · 2014 · ACM International Conference on Multimedia (ACM MM)
- SEMANTIC3D.NET: A NEW LARGE-SCALE POINT CLOUD CLASSIFICATION BENCHMARKTimo Häckel, Nikolay Savinov, Ľubor Ladický, Jan Dirk Wegner, Konrad Schindler B, Marc Pollefeys · 2017 · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
- PipeDream: generalized pipeline parallelism for DNN trainingD. Narayanan, A. Harlap, Amar Phanishayee, Vivek Seshadri, Nikhil R. Devanur, G. Ganger, Phillip B. Gibbons, M. Zaharia · 2019 · Symposium on Operating Systems Principles
- On the Number of Linear Regions of Deep Neural NetworksMontúfar, Guido, Pascanu, Razvan, Cho, Kyunghyun, Bengio, Yoshua · 2014 · arXiv
- Understanding how image quality affects deep neural networksDodge, Samuel, Karam, Lina · 2016 · 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX)
- HCP: A Flexible CNN Framework for Multi-Label Image ClassificationYunchao Wei, Wei Xia, Min Lin, Junshi Huang, Bingbing Ni, Jian Dong, Yao Zhao, Shuicheng Yan · 2015 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluationWen, Junhao, Thibeau-Sutre, Elina, Diaz-Melo, Mauricio, Samper-González, Jorge, Routier, Alexandre, Bottani, Simona, Dormont, Didier, Durrleman, Stanley, Burgos, Ninon, Colliot, Olivier · 2020 · Medical Image Analysis
- Grounded Compositional Semantics for Finding and Describing Images with SentencesRichard Socher, Andrej Karpathy, Quoc Viet Le, Christopher D. Manning, Andrew Y. Ng · 2014 · Transactions of the Association for Computational Linguistics
- Conformer: Local Features Coupling Global Representations for Visual RecognitionZhiliang Peng, Wei Feng Huang, Shanzhi Gu, Lingxi Xie, Yaowei Wang, Jianbin Jiao, Qixiang Ye · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Interpretable Convolutional Neural NetworksZhang, Quanshi, Wu, Ying Nian, Zhu, Song-Chun · 2018 · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
- Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object RecognitionCadieu, Charles F., Hong, Ha, Yamins, Daniel L. K., Pinto, Nicolas, Ardila, Diego, Solomon, Ethan A., Majaj, Najib J., DiCarlo, James J. · 2014 · PLoS Computational Biology
- AI2: Safety and Robustness Certification of Neural Networks with Abstract InterpretationTimon Gehr, Matthew Mirman, Dana Drachsler-Cohen, Petar Tsankov, Swarat Chaudhuri, Martin Vechev · 2018 · IEEE Symposium on Security and Privacy (S&P)
- A Survey of Wearable Devices and ChallengesSuranga Seneviratne, Yining Hu, Tham Nguyen, Guohao Lan, Sara Khalifa, Kanchana Thilakarathna, Mahbub Hassan, Aruna Prasad Seneviratne · 2017 · IEEE Communications Surveys & Tutorials
- Age and Gender Estimation of Unfiltered FacesEran Eidinger, Roee Enbar, Tal Hassner · 2014 · IEEE Transactions on Information Forensics and Security
- A deep learning model integrating FCNNs and CRFs for brain tumor segmentationZhao, Xiaomei, Wu, Yihong, Song, Guidong, Li, Zhenye, Zhang, Yazhuo, Fan, Yong · 2018 · Medical Image Analysis
- State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approachChemali, Ephrem, Kollmeyer, Phillip J., Preindl, Matthias, Emadi, Ali · 2018 · Journal of Power Sources
- A survey on deep learning for multimodal data fusionGao, Jing, Li, Peng, Chen, Zhikui, Zhang, Jianing · 2020 · Neural Computation
- Strong-Weak Distribution Alignment for Adaptive Object DetectionSaito, Kuniaki, Ushiku, Yoshitaka, Harada, Tatsuya, Saenko, Kate · 2019 · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Salient Object Detection in the Deep Learning Era: An In-Depth SurveyWenguan Wang, Qiuxia Lai, Huazhu Fu, Jianbing Shen, Haibin Ling, Ruigang Yang · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on MicroblogsZhiwei Jin, Juan Cao, Han Guo, Yongdong Zhang, Jiebo Luo · 2017 · ACM International Conference on Multimedia (ACM MM)
- Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and ChallengesCheng, Yu, Wang, Duo, Zhou, Pan, Zhang, Tao · 2018 · IEEE Signal Processing Magazine
- Generative adversarial networks: introduction and outlookKunfeng Wang, Chao Gou, Yanjie Duan, Yilun Lin, Xinhu Zheng, Fei–Yue Wang · 2017 · IEEE/CAA Journal of Automatica Sinica
- The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directionsLittlejohns, Thomas J., Holliday, Jo, Gibson, Lorna M., Garratt, Steve, Oesingmann, Niels, Alfaro-Almagro, Fidel, Bell, Jimmy D., Boultwood, Chris, Collins, Rory, Conroy, Megan C. et al. · 2020 · Nature Communications
- Learning Deep Structure-Preserving Image-Text EmbeddingsLiwei Wang, Yin Li, Svetlana Lazebnik · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondenceCichy, Radoslaw Martin, Khosla, Aditya, Pantazis, Dimitrios, Torralba, Antonio, Oliva, Aude · 2016 · Scientific Reports
- Deep Learning for Intelligent Wireless Networks: A Comprehensive SurveyMao, Qian, Hu, Fei, Hao, Qi · 2018 · IEEE Communications Surveys & Tutorials
- A hybrid deep learning based traffic flow prediction method and its understandingYuankai Wu, Huachun Tan, Lingqiao Qin, Bin Ran, Zhuxi Jiang · 2018 · Transportation Research Part C Emerging Technologies
- Distributed Deep Neural Networks Over the Cloud, the Edge and End DevicesTeerapittayanon, Surat, McDanel, Bradley, Kung, H.T. · 2017 · 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)
- State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control SystemsFadlullah, Zubair Md., Tang, Fengxiao, Mao, Bomin, Kato, Nei, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro · 2017 · IEEE Communications Surveys & Tutorials
- Gated Context Aggregation Network for Image Dehazing and DerainingDongdong Chen, Mingming He, Qingnan Fan, Jing Liao, Liheng Zhang, Dongdong Hou, Lu Yuan, Gang Hua · 2019 · IEEE Winter Conference on Applications of Computer Vision
- The application of two-level attention models in deep convolutional neural network for fine-grained image classificationTianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang · 2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- SVDNet for Pedestrian RetrievalYifan Sun, Liang Zheng, Weijian Deng, Shengjin Wang · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
- NeurosurgeonYiping Kang, Johann Hauswald, Cao Gao, Austin Rovinski, Trevor Mudge, Jason Mars, Lingjia Tang · 2017 · ACM SIGARCH Computer Architecture News
- Visual7W: Grounded Question Answering in ImagesZhu, Yuke, Groth, Oliver, Bernstein, Michael, Fei-Fei, Li · 2016 · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- Advances in protein structure prediction and designKuhlman, Brian, Bradley, Philip · 2019 · Nature Reviews Molecular Cell Biology
- Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning SystemsLaura von Rueden, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev, Sven Giesselbach, Raoul Heese, Birgit Kirsch, Michal Walczak, Julius Pfrommer, Annika Pick et al. · 2021 · IEEE Transactions on Knowledge and Data Engineering
- ResMLP: Feedforward Networks for Image Classification With Data-Efficient TrainingTouvron, Hugo, Bojanowski, Piotr, Caron, Mathilde, Cord, Matthieu, El-Nouby, Alaaeldin, Grave, Edouard, Izacard, Gautier, Joulin, Armand, Synnaeve, Gabriel, Verbeek, Jakob et al. · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Joint Unsupervised Learning of Deep Representations and Image ClustersYang, Jianwei, Parikh, Devi, Batra, Dhruv · 2016 · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networksHollon, Todd C., Pandian, Balaji, Adapa, Arjun R., Urias, Esteban, Save, Akshay V., Khalsa, Siri Sahib S., Eichberg, Daniel G., D’Amico, Randy S., Farooq, Zia U., Lewis, Spencer et al. · 2020 · Nature Medicine
- An Introduction to Machine LearningSolveig Badillo, Balázs Bánfai, Fabian Birzele, Iakov I. Davydov, Lucy G. Hutchinson, Tony Kam‐Thong, Juliane Siebourg‐Polster, Bernhard Steiert, Jitao David Zhang · 2020 · Clinical Pharmacology & Therapeutics
- NestFuse: An Infrared and Visible Image Fusion Architecture Based on Nest Connection and Spatial/Channel Attention ModelsHui Li, Xiao-Jun Wu, Tariq Durrani · 2020 · IEEE Transactions on Instrumentation and Measurement
- Deep Fragment Embeddings for Bidirectional Image Sentence MappingAndrej Karpathy, Armand Joulin, Li Fei-Fei · 2014 · arXiv (Cornell University)
- State of the Art in Defect Detection Based on Machine VisionZhonghe Ren, Fengzhou Fang, Ning Yan, You Wu · 2021 · International Journal of Precision Engineering and Manufacturing-Green Technology
- Identification of Apple Leaf Diseases Based on Deep Convolutional Neural NetworksBin Liu, Yun Zhang, Dongjian He · 2017 · Symmetry
- A survey of human-in-the-loop for machine learningWu, Xingjiao, Xiao, Luwei, Sun, Yixuan, Zhang, Junhang, Ma, Tianlong, He, Liang · 2022 · Future Generation Computer Systems
- Deep Audio-Visual Speech RecognitionAfouras, Triantafyllos, Chung, Joon Son, Senior, Andrew, Vinyals, Oriol, Zisserman, Andrew · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Learning Deep Representations of Fine-Grained Visual DescriptionsScott Reed, Zeynep Akata, Honglak Lee, Bernt Schiele · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- DeepStack: Expert-level artificial intelligence in heads-up no-limit pokerMatej Moravčík, Martin Schmid, NEIL R. BURCH, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael Bowling · 2017 · Science
- MViTv2: Improved Multiscale Vision Transformers for Classification and DetectionYanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Convolutional networks for fast, energy-efficient neuromorphic computingSteven K. Esser, Paul A. Merolla, John V. Arthur, Andrew S. Cassidy, Rathinakumar Appuswamy, Alexander Andreopoulos, David J. Berg, Jeffrey L. McKinstry, Timothy Melano, Davis R. Barch et al. · 2016 · Proceedings of the National Academy of Sciences
- Hypergraph convolution and hypergraph attentionSong Bai, Feihu Zhang, Philip H. S. Torr · 2020 · Pattern Recognition
- Deep Learning in Medical Ultrasound Analysis: A ReviewLiu, Shengfeng, Wang, Yi, Yang, Xin, Lei, Baiying, Liu, Li, Li, Shawn Xiang, Ni, Dong, Wang, Tianfu · 2019 · Engineering
- Review of Image Classification Algorithms Based on Convolutional Neural NetworksLeiyu Chen, Shaobo Li, Qiang Bai, Jing Yang, Sanlong Jiang, Yanming Miao · 2021 · Remote Sensing
- A New Representation of Skeleton Sequences for 3D Action RecognitionKe, Qiuhong, Bennamoun, Mohammed, An, Senjian, Sohel, Ferdous, Boussaid, Farid · 2017 · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- Learning a Deep Embedding Model for Zero-Shot LearningLi Zhang, Tao Xiang, Shaogang Gong · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Look, Listen and LearnRelja Arandjelović, Andrew Zisserman · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
- VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR imagesHao Chen, Qi Dou, Lequan Yu, Jing Qin, Pheng‐Ann Heng · 2017 · NeuroImage
- Richer Convolutional Features for Edge DetectionYun Liu, Ming‐Ming Cheng, Xiaowei Hu, Jia-Wang Bian, Le Zhang, Xiang Bai, Jinhui Tang · 2018 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Neural Sign Language TranslationNecati Cihan Camgöz, Simon Hadfield, Oscar Koller, Hermann Ney, Richard Bowden · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- A novel deep learning based framework for the detection and classification of breast cancer using transfer learningSanaUllah Khan, Naveed Islam, Zahoor Jan, Ikram Ud Din, Joel J. P. C. Rodrigues · 2019 · Pattern Recognition Letters
- DeepPath: A Reinforcement Learning Method for Knowledge Graph ReasoningWenhan Xiong, Thien Hoang, William Yang Wang · 2017 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Automatic Segmentation of MR Brain Images With a Convolutional Neural NetworkMoeskops, Pim, Viergever, Max A., Mendrik, Adrienne M., de Vries, Linda S., Benders, Manon J. N. L., Isgum, Ivana · 2016 · IEEE Transactions on Medical Imaging
- Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image SegmentationAlexander Kolesnikov, Christoph H. Lampert · 2016 · Lecture notes in computer science
- Effective Use of Word Order for Text Categorization with Convolutional Neural NetworksRie Johnson, Tong Zhang · 2015 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
- ConViT: improving vision transformers with soft convolutional inductive biasesd’Ascoli, Stéphane, Touvron, Hugo, Leavitt, Matthew L, Morcos, Ari S, Biroli, Giulio, Sagun, Levent · 2022 · Journal of Statistical Mechanics: Theory and Experiment
- Edge Computing for Autonomous Driving: Opportunities and ChallengesLiu, Shaoshan, Liu, Liangkai, Tang, Jie, Yu, Bo, Wang, Yifan, Shi, Weisong · 2019 · Proceedings of the IEEE
- On instabilities of deep learning in image reconstruction and the potential costs of AIVegard Antun, Francesco Renna, Clarice Poon, Ben Adcock, Anders C. Hansen · 2020 · Proceedings of the National Academy of Sciences
- Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosisXiaojie Guo, Liang Chen, Changqing Shen · 2016 · Measurement
- A Survey of Optimization Methods From a Machine Learning PerspectiveShiliang Sun, Zehui Cao, Zhu Han, Jing Zhao · 2019 · IEEE Transactions on Cybernetics
- Richer Convolutional Features for Edge DetectionYun Liu, Ming‐Ming Cheng, Xiaowei Hu, Kai Wang, Xiang Bai · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point ModelingXumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Video Frame Synthesis Using Deep Voxel FlowZiwei Liu, Raymond A. Yeh, Xiaoou Tang, Yiming Liu, Aseem Agarwala · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Training Spiking Neural Networks Using Lessons From Deep LearningJason K. Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei Dong Lu · 2023 · Proceedings of the IEEE
- Deep forestZhi‐Hua Zhou, Ji Feng · 2018 · National Science Review
- STDP-based spiking deep convolutional neural networks for object recognitionSaeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier · 2017 · Neural Networks
- Generalizing from a Few Examples: A Survey on Few-Shot LearningYaqing Wang, Quanming Yao, James Tin-Yau Kwok, Lionel Ming-shuan Ni · 2019 · arXiv (Cornell University)
- Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluationGatt, Albert, Krahmer, Emiel · 2018 · Journal of Artificial Intelligence Research
- Shuffle and Learn: Unsupervised Learning Using Temporal Order VerificationMisra, Ishan, Zitnick, C. Lawrence, Hebert, Martial · 2016 · Lecture Notes in Computer Science
- 1Salient Object Detection: A SurveyAli Borji, Huaizu Jiang, Jia Li · 2016
- Zero-Shot Learning by Convex Combination of Semantic EmbeddingsMohammad Norouzi, Tomáš Mikolov, Samy Bengio A, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg S. Corrado, Dean, Jeffrey · 2013 · arXiv (Cornell University)
- Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of thingsZhang, Jing, Tao, Dacheng · 2021 · IEEE Internet of Things Journal
- Scale Aggregation Network for Accurate and Efficient Crowd CountingXinkun Cao, Zhipeng Wang, Yanyun Zhao, Fei Su · 2018 · Lecture notes in computer science
- Anabranch network for camouflaged object segmentationTrung-Nghia Le, Tam Nguyen, Zhongliang Nie, Minh–Triet Tran, Akihiro Sugimoto · 2019 · Computer Vision and Image Understanding
- Learning to Refine Object SegmentsPedro O. Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár · 2016 · Lecture notes in computer science
- Multi-Classification of Brain Tumor Images Using Deep Neural NetworkSultan, Hossam H., Salem, Nancy M., Al-Atabany, Walid · 2019 · IEEE Access
- MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile DevicesSheng Chen, Yang Liu, Xiang Gao, Zhen Han · 2018 · Lecture notes in computer science
- Review of MRI-based brain tumor image segmentation using deep learning methodsIşın, Ali, Direkoğlu, Cem, Şah, Melike · 2016 · Procedia Computer Science
- Face Detection with the Faster R-CNNHuaizu Jiang, Erik G. Miller · 2017 · International Conference on Automatic Face and Gesture Recognition
- Applications of artificial intelligence in transport: An overviewAbduljabbar, Rusul, Dia, Hussein, Liyanage, Sohani, Bagloee, Saeed Asadi · 2019 · Sustainability
- Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art ReviewAzimi, Mohsen, Eslamlou, Armin, Pekcan, Gokhan · 2020 · Sensors