Deep learning-based prediction of mortality using brain midline shift and clinical information by An-Rong Wu, Sun-Yuan Hsieh, Hsin-Hung Chou, Cheng-Shih Lai, Jo-Ying Hung, Bow Wang, Yi-Shan Tsai

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Retracted: Deep Learning-Based Detection and Identification Method for Sports Health Video Dissemination by Discrete Dynamics in Nature and Society

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Categorizing and Determining of BI-RAD Breast Cancer Score by Using Deep Learning Techniques by Azhar Kassem Flayeh, Ali Douik

“…This work utilized deep learning techniques and algorithms to accurately categorize breast cancer at 93%, 92%, 90%, and 93% for each category (C2, C3, C4, and C5). …”
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Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination by Ryoichiro Agata, Kazuya Shiraishi, Gou Fujie

“…Here, we address this issue by employing a physics-informed deep learning (PIDL) approach that quantifies uncertainty in two-dimensional seismic velocity structure modeling and its propagation to hypocenter determination by introducing neural network ensembles trained on active seismic survey data, earthquake observation data, and the physical equation of wavefront movement. …”
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Retracted: A Novel Deep Learning Model for Analyzing Psychological Stress in College Students by Journal of Electrical and Computer Engineering

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Deep-Learning Based Depth-Tracking of Stacking-Faults in Epitaxially Grown Silicon Wafers by Theresa Trötschler, Saed Al-Hajjawi, Siddharth Raghavendran, Jonas Haunschild, Matthias Demant, Stefan Rein

“…This work presents a non-destructive and automated characterization method on full-size wafers to locate stacking faults and determine their layer of origin to identify process-based root causes. A deep learning model and a quantification via geometric defect properties is realized on dark field microscope images, with the potential to be transferred to inline images measured in dark field mode with high-resolution cameras. …”
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Gene Selection Based Cancer Classification With Adaptive Optimization Using Deep Learning Architecture by Anju Das, N. Neelima, K. Deepa, Tolga Ozer

“…To address these challenges and enhance classification outcomes, this research employs an efficient framework based on a deep learning (DL) approach. Initially, the data is collected from five gene cancer datasets, which are then augmented to maximize the data size. …”
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Effective Feature Selection on Transfer Deep Learning Algorithm for Thyroid Nodules Ultrasound Detection by Ghufran Basim Alghanimi, Hadeel Aljobouri, Khaleel Akeash Alshimmari, Rasha Massoud

“…This study proposes two deep-learning models for classifying thyroid nodule US images into two categories: benign and malignant. …”
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Active Element Arrangement for Deep Learning-Based CSI Prediction in IRS-Assisted Systems by Yoshihiko Tsuchiya, Norisato Suga, Kazunori Uruma, Masaya Fujisawa

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Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learning by Maryam Talebvand, Amir Lakizadeh, Faranak Fotouhi

Subjects: “…deep learning…”
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RFMVDA: An Enhanced Deep Learning Approach for Customer Behavior Classification in E-Commerce Environments by Kwanhee Kim, Mingyu Jo, Ilkyeun Ra, Sangoh Park

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Conv‐ELSTM: An ensemble deep learning approach for predicting short‐term wind power by Guibin Wang, Xinlong Huang, Yiqun Li, Hong Wang, Xian Zhang, Jing Qiu

“…This article introduces a hybrid data‐driven framework that employs an ensemble deep learning model to provide highly precise short‐term wind power predictions. …”
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Improving spleen segmentation in ultrasound images using a hybrid deep learning framework by Ali Karimi, Javad Seraj, Fatemeh Mirzadeh Sarcheshmeh, Kasra Fazli, Amirali Seraj, Parisa Eslami, Mohamadreza Khanmohamadi, Helia Sajjadian Moosavi, Hadi Ghattan Kashani, Abdoulreza Sajjadian Moosavi, Masoud Shariat Panahi

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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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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

“…Conclusions Training deep learning machines for the classification of AF with MsCWT-based images demonstrated to yield favorable outcomes and achieved superior performance amongst studies utilizing the same dataset. …”
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Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs by Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN

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Application of deep learning techniques for analysis and prediction of particulate matter at Kota city, India by Lovish Sharma, Hajari Singh, Mahendra Pratap Choudhary

“…This study leverages deep learning models, specifically Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks, to predict concentrations of PM10 and PM2.5. …”
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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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