A multi-modal dental dataset for semi-supervised deep learning image segmentation by Yaqi Wang, Fan Ye, Yifei Chen, Chengkai Wang, Chengyu Wu, Feng Xu, Zhean Ma, Yi Liu, Yifan Zhang, Mingguo Cao, Xiaodiao Chen

“…Panoramic X-ray images (PXI) and Cone Beam Computed Tomography (CBCT) are key tools for dentists in diagnosing and treating dental conditions. Additionally, deep learning for tooth segmentation can focus on relevant treatment information and localize lesions. …”
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Recent Advancements in Deep Learning Frameworks for Precision Fish Farming Opportunities, Challenges, and Applications by Gaganpreet Kaur, Nirmal Adhikari, Singamaneni Krishnapriya, Surindar Gopalrao Wawale, R. Q. Malik, Abu Sarwar Zamani, Julian Perez-Falcon, Jonathan Osei-Owusu

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Hybrid Deep Learning for Gas Price Prediction Using Multi-Factor and Temporal Features by Shuliang Zhang, Hao Wu, Jin Wang, Longsheng Du

“…In this paper, we innovatively apply k-means clustering to analyze the correlations of multiple factors affecting natural gas prices and design a hybrid deep learning model that integrates both multi-factor and time series features. …”
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NeuroSight: A Deep‐Learning Integrated Efficient Approach to Brain Tumor Detection by Shafayat Bin Shabbir Mugdha, Mahtab Uddin

“…This approach facilitates deep‐learning researchers in identifying and categorizing brain cancers by comparing recent papers and assessing deep‐learning methodologies.…”
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One‐Day Forecasting of Global TEC Using a Novel Deep Learning Model by Sujin Lee, Eun‐Young Ji, Yong‐Jae Moon, Eunsu Park

Subjects: “…deep learning…”
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Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices by Caixia Hu, Jie Li, Yaxu Pang, Lan Luo, Fang Liu, Wenhao Wu, Yan Xu, Houyu Li, Bingcang Tan, Guilong Zhang

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Channel state information–based multi-level fingerprinting for indoor localization with deep learning by Tao Li, Hai Wang, Yuan Shao, Qiang Niu

“…This method using channel state information is termed multi-level fingerprinting with deep learning. Deep neural networks are applied in the deep learning of the first layer of multi-level fingerprinting with deep learning, which includes two phases: an offline training phase and an online localization phase. …”
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Deep learning solutions for inverse problems in advanced biomedical image analysis on disease detection by Amal Alshardan, Hany Mahgoub, Nuha Alruwais, Abdulbasit A. Darem, Wafa Sulaiman Almukadi, Abdullah Mohamed

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The Modeling of Comprehensive Evaluation System of College Teachers’ Professional Quality Based on Deep Learning by Xiaoying Yang

“…This paper adopts the method of deep learning to evaluate the comprehensive quality of teachers, and the corresponding complete evaluation system of teachers’ comprehensive quality is gradually formed. …”
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Speed Distribution Prediction of Freight Vehicles on Mountainous Freeway Using Deep Learning Methods by Yuren Chen, Yu Chen, Bo Yu

“…Recurrent neural network (RNN) is a distinctive type of deep learning method to capture the temporary dependency in behavioral research. …”
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Deep learning-based histopathological assessment of tubulo-interstitial injury in chronic kidney diseases by Nonoka Suzuki, Kaname Kojima, Silvia Malvica, Kenshi Yamasaki, Yoichiro Chikamatsu, Yuji Oe, Tasuku Nagasawa, Ekyu Kondo, Satoru Sanada, Setsuya Aiba, Hiroshi Sato, Mariko Miyazaki, Sadayoshi Ito, Mitsuhiro Sato, Tetsuhiro Tanaka, Kengo Kinoshita, Yoshihide Asano, Avi Z. Rosenberg, Koji Okamoto, Kosuke Shido

“…Methods We develop a deep learning-based method named DLRS to quantify interstitial fibrosis and inflammatory cell infiltration as tubulo-interstitial injury scores, from WSIs of renal biopsy specimens. …”
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Fault Diagnosis Method for Bearing of High-Speed Train Based on Multitask Deep Learning by Jia Gu, Ming Huang

“…Then, based on the operating condition identification and multitask deep learning, the bearing temperature prediction model is constructed. …”
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Rapid maize seed vigor classification using deep learning and hyperspectral imaging techniques by Papis Wongchaisuwat, Pongsan Chakranon, Achitpon Yinpin, Damrongvudhi Onwimol, Kris Wonggasem

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A robust, deep learning-based analysis of time-domain signals for NMR spectroscopy by Kyungdoe Han, Eunhee Kim, Kyoung-Seok Ryu, Donghan Lee

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Deep Learning Models to Predict Fatal Pneumonia Using Chest X-Ray Images by Satoshi Anai, Junko Hisasue, Yoichi Takaki, Naohiko Hara

“…We applied CXR images from 1031 patients with nonfatal pneumonia and 243 patients with fatal pneumonia for training and self-evaluation of the deep learning models. All labeled CXR images were randomly allocated to the training, validation, and test datasets of deep learning models. …”
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An Improved Deep Learning Network Structure for Multitask Text Implication Translation Character Recognition by Xiaoli Ma, Hongyan Xu, Xiaoqian Zhang, Haoyong Wang

“…Especially after the application of deep learning technology, the performance of multitask translation text detection and recognition has been greatly improved. …”
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A deep learning method for bias correction of wind field in the South China Sea by Cong Pang, Tao Song, Tao Song, Handan Sun, Xin Li, Danya Xu

Subjects: “…deep learning…”
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DMSS: An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction by Yihui Ren, Yu Wang, Wenkai Han, Yikang Huang, Xiaoyang Hou, Chunming Zhang, Dongbo Bu, Xin Gao, Shiwei Sun

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DeepGame-TP: Integrating Dynamic Game Theory and Deep Learning for Trajectory Planning by Giovanni Lucente, Mikkel Skov Maarssoe, Sanath Himasekhar Konthala, Anas Abulehia, Reza Dariani, Julian Schindler

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Optimizing Deep Learning Acceleration on FPGA for Real-Time and Resource-Efficient Image Classification by Ahmad Mouri Zadeh Khaki, Ahyoung Choi

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