An Unsupervised Deep Learning Framework for Retrospective Gating of Catheter-Based Cardiac Imaging by Zheng Sun, Yue Yao, Ru Wang

“…The network was trained on clinical data sets in an unsupervised manner, addressing the difficulty of obtaining the gold standard in deep learning-based motion suppression techniques. …”
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Globus Pallidus Internus Deep Brain Stimulation for Disabling Diabetic Hemiballism/Hemichorea by Byung-chul Son, Jin-gyu Choi, Hak-cheol Ko

“…Although almost all prior reports have documented rapid resolution of HH within days after normalization of blood glucose levels, medically refractory persistent HH has been noted. The experience of surgical intervention for persistent HH is limited. …”
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Deep and Machine Learning for Acute Lymphoblastic Leukemia Diagnosis: A Comprehensive Review by Mohammad Faiz, Bakkanarappa Gari Mounika, Mohd Akbar, Swapnita Srivastava

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Fake Detect: A Deep Learning Ensemble Model for Fake News Detection by Nida Aslam, Irfan Ullah Khan, Farah Salem Alotaibi, Lama Abdulaziz Aldaej, Asma Khaled Aldubaikil

“…Due to the nature of the dataset attributes, two deep learning models were used. For the textual attribute “statement,” Bi-LSTM-GRU-dense deep learning model was used, while for the remaining attributes, dense deep learning model was used. …”
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Hepatic transcript profiling in beef cattle: Effects of rumen-protected niacin supplementation. by Gastón F Alfaro, Valentino Palombo, Mariasilvia D'Andrea, Wenqi Cao, Yue Zhang, Jonathan Beever, Russell B Muntifering, Wilmer J Pacheco, Soren P Rodning, Xu Wang, Sonia J Moisá

“…In conclusion, based on the results of our study, we can suggest the utilization of rumen-protected niacin supplementation as a nutritional strategy could improve the health status of growing beef cattle in different beef production stages, such as backgrounding operations or new arrivals to a feedlot.…”
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Key experimental technologies and their development directions for the exploration and production of deep coalbed methane by Xia YAN, Fengyin XU, Xianyue XIONG, Feng WANG, Chunhu LI, Jiyuan ZHANG, Borui XU, Qianhui CHENG, Xiong HU, Xueguang ZHU, Wei LIANG, Pu YUAN, Yanqing FENG, Zhenji WEI

Subjects: “…deep coalbed methane (cbm)…”
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Use of Ceramic-Industry Wastewater in Sandy Subgrade Stabilization by Deep Mixing Method by Hamed Heidari Forozabadi, Mohammad Khabiri, Kazem Barkhordari Bafghi, Dabessa Ayantu Miti Ku

Subjects: “…deep soil mixing…”
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A Survey of Deep Learning Techniques for Arabic Aspect-Based Sentiment Analysis by Dalal Alqusair, Mounira Taileb, and Hassanin Al-Barhamtoshy

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Soil Classification Based on Deep Learning Algorithm and Visible Near-Infrared Spectroscopy by Xueying Li, Pingping Fan, Zongmin Li, Guangyuan Chen, Huimin Qiu, Guangli Hou

“…The aim of this study is to analyze the feasibility of land cover classification with small samples by convolutional neural network and, according to the deep learning algorithm, to explore new methods for rapid, nondestructive, and accurate classification of the land cover.…”
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Operation and Control of an Active Power Collector for Roadside Feeding Electric Road System by Saleh A. Ali, Volker Pickert, Mohammed A. Alharbi, Handong Li, Haris Patsios

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Oral Motor Treatment Efficacy: Feeding and Swallowing Skills in Children with Cerebral Palsy by Maria E. Widman-Valencia, Luis F. Gongora-Meza, Héctor Rubio-Zapata, Rita E. Zapata-Vázquez, Elma Vega Lizama, Marco Ramírez Salomón, Damaris Estrella-Castillo

“…This study is aimed at identifying the relationship between oral motor treatment and the improvement of abilities for feeding and swallowing in boys and girls with CP residing in the state of Yucatán. …”
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Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods by Said Ziani, Yousef Farhaoui, Mohammed Moutaib

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Multiview Multimodal Feature Fusion for Breast Cancer Classification Using Deep Learning by Sadam Hussain, Mansoor Ali Teevno, Usman Naseem, Daly Betzabeth Avendano Avalos, Servando Cardona-Huerta, Jose Gerardo Tamez-Pena

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Utilizing Age-Adaptive Deep Learning Approaches for Detecting Inappropriate Video Content by Iftikhar Alam, Abdul Basit, Riaz Ahmad Ziar

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Detection Method of Limb Movement in Competitive Sports Training Based on Deep Learning by Chunlin Qin, Shenglu Huo

“…In order to solve the above problems, a limb movement detection method in competitive sports training based on deep learning is proposed. The force change parameters of sports limb movements in the process of sports are computed to achieve the detection of limb movements in competitive sports training, and the limb movement characteristics in competitive sports training are extracted using a deep learning algorithm. …”
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Deep Learning and Multidisciplinary Imaging in Pediatric Surgical Oncology: A Scoping Review by M. A. D. Buser, J. K. van derRest, M. H. W. A. Wijnen, R. R. deKrijger, A. F. W. van derSteeg, M. M. van denHeuvel‐Eibrink, M. Reismann, S. Veldhoen, L. Pio, M. Markel

“…The field of radiology, pathology, and other image‐based diagnostics are getting increasingly important and advanced. This indicates a need for advanced image processing technology such as Deep Learning (DL). …”
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Deep, Surface, or Both? A Study of Occupational Therapy Students’ Learning Concepts by Tore Bonsaksen

“…Students’ conceptualization of learning has been associated with their approaches to studying. …”
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Wideband Circularly Polarized SIW Antenna Array That Uses Sequential Rotation Feeding by Fang-Fang Fan, Ze-Hong Yan, Wei Wang

“…The feeding network is based on the SIW power divider with a delay line related to sequential rotation feeding. …”
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Retracted: Combination of Fruit and Vegetable Storage and Fresh-Keeping with Postharvest Heat Treatment by Journal of Chemistry

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Implementation of Genetic Algorithm Integrated with the Deep Neural Network for Estimating at Completion Simulation by Karrar Raoof Kareem Kamoona, Cenk Budayan

“…In this research, a relatively new intelligent model called deep neural network (DNN) is proposed to calculate the EAC. …”
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