ResNet15: Weather Recognition on Traffic Road with Deep Convolutional Neural Network by Jingming Xia, Dawei Xuan, Ling Tan, Luping Xing

“…With the rapid development of deep learning, deep convolutional neural networks (CNN) are used to recognize weather conditions on traffic road. …”
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Unsupervised machine and deep learning methods for structural damage detection: A comparative study by Zilong Wang, Young‐Jin Cha

Subjects: “…deep learning…”
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Oregano Extract Added into the Diet of Dairy Heifers Changes Feeding Behavior and Concentrate Intake by Giovani Jacob Kolling, Dejani Maíra Panazzolo, Alexandre Mossate Gabbi, Marcelo Tempel Stumpf, Marcel Batista dos Passos, Eduardo Augusto da Cruz, Vivian Fischer

“…Feeding behavior and concentrate intake were assessed individually every day and total dry matter intake (DMI) was determined on the last week of the trial. …”
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Deep learning for the classification of atrial fibrillation using wavelet transform-based visual images by Ling-Chun Sun, Chia-Chiang Lee, Hung-Yen Ke, Chih-Yuan Wei, Ke-Feng Lin, Shih-Sung Lin, Hsin Hsiu, Ping-Nan Chen

“…Results We present a MsCWT image-based deep learning machine for AF differentiation. For the training, validation, and test sets, we achieved average accuracies of 97.94%, 97.84%, and 91.32%; and overall F1 scores of 97.13%, 96.86%, and 89.41% respectively. …”
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Corrigendum to “Microbial Food Safety Risk to Humans Associated with Poultry Feed: The Role of Irradiation” by Tahiru Mahami, Wellington Torgby-Tetteh, Delali Isaac Kottoh, Leticia Amoakoah Twum, Emmanuel Gasu, Sylvester Nana Yao Annan, Daniel Larbi, Isaac Adjei, Abraham Adu-Gyamfi

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Role of Tc-Sulesomab Immunoscintigraphy in the Management of Infection following Deep Brain Stimulation Surgery by Raquel Real, Paulo Linhares, Hélder Fernandes, Maria José Rosas, Miguel F. Gago, Jorge Pereira, Rui Vaz

“…Infection constitutes a serious adverse event in patients submitted to deep brain stimulation, often leading to removal of the device. …”
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Enhanced DeepSORT and StrongSORT for Multicattle Tracking With Optimized Detection and Re-Identification by Hyeon-Seok Sim, Hyun-Chong Cho

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Deep learning for enhanced risk management: a novel approach to analyzing financial reports by Xiangting Shi, Yakang Zhang, Manning Yu, Lihao Zhang

Subjects: “…Deep learning…”
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Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, El-Sayed M. El-Kenawy

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Analyzing the impact of deep learning algorithms and fuzzy logic approach for remote English translation by Xiuying Han

Subjects: “…Deep learning…”
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Meta-analyses of Culex blood-meals indicates strong regional effect on feeding patterns. by Jet S Griep, Eve Grant, Jack Pilgrim, Olena Riabinina, Matthew Baylis, Maya Wardeh, Marcus S C Blagrove

“…Many studies have investigated the feeding patterns of Culex mosquitoes by molecular analysis of blood-meals from field collected mosquitoes. …”
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Growth of Infants with Intestinal Failure or Feeding Intolerance Does Not Follow Standard Growth Curves by Danielle L. Morton, Keli M. Hawthorne, Carolyn E. Moore

“…The aim of the study was to evaluate growth velocities of infants with intestinal failure and feeding intolerance for the first three months of age and to determine growth percentiles at birth and at 40-week postmenstrual age (PMA). …”
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Autonomous Robotic Manipulation: Real-Time, Deep-Learning Approach for Grasping of Unknown Objects by Malak H. Sayour, Sharbel E. Kozhaya, Samer S. Saab

“…Recent advancement in vision-based robotics and deep-learning techniques has enabled the use of intelligent systems in a wider range of applications requiring object manipulation. …”
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Image recognition technology for bituminous concrete reservoir panel cracks based on deep learning. by Kai Hu, Yang Ling, Jie Liu

“…This study introduces a novel deep learning-based anomaly model for effective crack detection. …”
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TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process by Jianguo Dong, Xiaona Liu, Ruixian Su, Huimin Xu, Tianyu Yu

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Physicochemical Characteristics and Flavor Quality Analysis of Fermented Jerky from Yanbian Beef Cattle by Xiao Yang, Changlei Liu, Qi Wang, Enying Cui, Hongjie Piao, Yuping Wen, Guanhao Li, Qing Jin

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Deep learning and hyperspectral features for seedling stage identification of barnyard grass in paddy field by Siqiao Tan, Qiang Xie, Wenshuai Zhu, Yangjun Deng, Lei Zhu, Xiaoqiao Yu, Zheming Yuan, Zheming Yuan, Yuan Chen, Yuan Chen

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Author Correction: The struggle at the International Seabed Authority over deep sea mineral resources by Isabel Feichtner, Harald Ginzky

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Sealing Form and Failure Mechanism of Deep In Situ Rock Core Pressure-Maintaining Controller by Nianhan Wu, Heping Xie, Ling Chen, Mingzhong Gao, Cong Li

“…The mechanical properties of deep rocks change nonlinearly in an in situ pressure environment, so standard cores cannot be used as real samples for deep rock mechanics research. …”
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Deep learning–assisted diagnosis of acute mesenteric ischemia based on CT angiography images by Lei Song, Xuesong Zhang, Jian Zhang, Jie Wu, Jinkai Wang, Feng Wang

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