Using microscopic imaging and ensemble deep learning to classify the provenance of archaeological ceramics by Qian Wang, Xuan Xiao, Zi Liu

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Retracted: Deep Learning for Decision Element Extraction in Fact Description of Legal Documents by Advances in Multimedia

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Hardware Efficient Speech Enhancement With Noise Aware Multi-Target Deep Learning by Salinna Abdullah, Majid Zamani, Andreas Demosthenous

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FAILURE PREDICTION OF BOLTED CONNECTION OF COMPOSITE MATERIALS BASED ON DEEP LEARNING (MT) by PENG Fan, ZOU SiNong, REN YiRu

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Machine Learning and Deep Learning Optimization Algorithms for Unconstrained Convex Optimization Problem by Kainat Naeem, Amal Bukhari, Ali Daud, Tariq Alsahfi, Bader Alshemaimri, Mousa Alhajlah

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Deep Learning Techniques for Peer-to-Peer Physical Systems Based on Communication Networks by Ajay. P, Nagaraj. B, Ruihang Huang

“…This study focuses on various deep learning strategies used in peer-to-peer communication networks. …”
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Efficient Machine Learning and Deep Learning Techniques for Detection of Breast Cancer Tumor by Dlshad Abdalrahman Mahmood, Sadegh Abdullah Aminfar

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Bankruptcy forecasting in enterprises and its security using hybrid deep learning models by Akshat Gaurav, Brij B. Gupta, Shavi Bansal, Konstantinos E. Psannis

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Aggregating, Summarizing, and Restructuring News-Related Tweets into Compositions Using Deep Learning by Richa Sharma, Anjali Thukral, Yatin Kapoor, Ashwani Varshney, Punam Bedi

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Clinically oriented automatic three-dimensional enamel segmentation via deep learning by Wenting Yu, Xinwen Wang, Huifang Yang

Subjects: “…Deep learning…”
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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

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DRAFTS: A Deep-learning-based Radio Fast Transient Search Pipeline by Yong-Kun Zhang, Di Li, Yi Feng, Chao-Wei Tsai, Pei Wang, Chen-Hui Niu, Hua-Xi Chen, Yu-Hao Zhu

“…In this paper, we present DRAFTS , a deep-learning-based radio fast transient search pipeline. …”
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Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage by Imad Eddine Toubal, Noor Al-Shakarji, D. D. W. Cornelison, Kannappan Palaniappan

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Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy by Min Guo, Yicong Wu, Chad M. Hobson, Yijun Su, Shuhao Qian, Eric Krueger, Ryan Christensen, Grant Kroeschell, Johnny Bui, Matthew Chaw, Lixia Zhang, Jiamin Liu, Xuekai Hou, Xiaofei Han, Zhiye Lu, Xuefei Ma, Alexander Zhovmer, Christian Combs, Mark Moyle, Eviatar Yemini, Huafeng Liu, Zhiyi Liu, Alexandre Benedetto, Patrick La Riviere, Daniel Colón-Ramos, Hari Shroff

“…Here we introduce a deep learning-based strategy for aberration compensation, improving image quality without slowing image acquisition, applying additional dose, or introducing more optics. …”
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Efficient and accurate identification of maize rust disease using deep learning model by Pei Wang, Pei Wang, Jiajia Tan, Yuheng Yang, Yuheng Yang, Tong Zhang, Pengxin Wu, Xinglong Tang, Hui Li, Xiongkui He, Xinping Chen

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Non-line-of-sight Visible Light Positioning System based on Deep Learning by HUANG Weijie, LIN Bangjiang, DING Yongqi, LUO Jiabin, HUANG Tianming

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Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT by Mateusz Koziński, Doruk Oner, Jakub Gwizdała, Catherine Beigelman-Aubry, Pascal Fua, Angela Koutsokera, Alessio Casutt, Argyro Vraka, Michele De Palma, John-David Aubert, Horst Bischof, Christophe von Garnier, Sahand Jamal Rahi, Martin Urschler, Nahal Mansouri

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Deep Learning Approach for Automatic Classification of Ocular and Cardiac Artifacts in MEG Data by Ahmad Hasasneh, Nikolas Kampel, Praveen Sripad, N. Jon Shah, Jürgen Dammers

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Intelligent System of Somatosensory Music Therapy Information Feedback in Deep Learning Environment by Nan Zhao

“…There is an inaccuracy problem in electrogram judgment, and deep learning has great advantages in signal feature extraction and classification. …”
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Deep Learning-Based Energy Consumption Prediction Model for Green Industrial Parks by Chaoan Lai, Yina Wang, Jianhua Zhu, Xuequan Zhou

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