UTR-Insight: integrating deep learning for efficient 5′ UTR discovery and design by Saichao Pan, Hanyu Wang, Hang Zhang, Zan Tang, Lianqiang Xu, Zhixiang Yan, Yong Hu

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Deep Learning Based Proactive Caching for Effective WSN-Enabled Vision Applications by Fangyuan Lei, Jun Cai, Qingyun Dai, Huimin Zhao

“…Firstly, based on Software Defined Network (SDN) and Network Function Virtualization (NFV) technologies, a distributed deep learning network SSAE is constructed in the sink nodes and control nodes of the WSN network. …”
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An Intelligent Framework Based on Deep Learning for SMS and e-mail Spam Detection by Umair Maqsood, Saif Ur Rehman, Tariq Ali, Khalid Mahmood, Tahani Alsaedi, Mahwish Kundi

“…To counter this problem, in this paper, multiple classifiers of ML and a classifier of deep learning (DL) were applied to the SMS and e-mail dataset for spam detection with higher accuracy. …”
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Deep Learning-Enabled Integration of Histology and Transcriptomics for Tissue Spatial Profile Analysis by Yongxin Ge, Jiake Leng, Ziyang Tang, Kanran Wang, Kaicheng U, Sophia Meixuan Zhang, Sen Han, Yiyan Zhang, Jinxi Xiang, Sen Yang, Xiang Liu, Yi Song, Xiyue Wang, Yuchen Li, Junhan Zhao

“…We introduce GIST, a deep learning-enabled gene expression and histology integration for spatial cellular profiling. …”
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Deep learning powered single-cell clustering framework with enhanced accuracy and stability by Yi Zhang, Xi Feng, Yin Wang, Kai Shi

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Speech-based personality prediction using deep learning with acoustic and linguistic embeddings by Martin Lukac

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BenthicNet: A global compilation of seafloor images for deep learning applications by Scott C. Lowe, Benjamin Misiuk, Isaac Xu, Shakhboz Abdulazizov, Amit R. Baroi, Alex C. Bastos, Merlin Best, Vicki Ferrini, Ariell Friedman, Deborah Hart, Ove Hoegh-Guldberg, Daniel Ierodiaconou, Julia Mackin-McLaughlin, Kathryn Markey, Pedro S. Menandro, Jacquomo Monk, Shreya Nemani, John O’Brien, Elizabeth Oh, Luba Y. Reshitnyk, Katleen Robert, Chris M. Roelfsema, Jessica A. Sameoto, Alexandre C. G. Schimel, Jordan A. Thomson, Brittany R. Wilson, Melisa C. Wong, Craig J. Brown, Thomas Trappenberg

“…These are accompanied by 3.1 million annotations translated to the CATAMI scheme, which span 190,000 of the images. A large deep learning model was trained on this compilation and preliminary results suggest it has utility for automating large and small-scale image analysis tasks. …”
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Rating pome fruit quality traits using deep learning and image processing by Nhan H. Nguyen, Joseph Michaud, Rene Mogollon, Huiting Zhang, Heidi Hargarten, Rachel Leisso, Carolina A. Torres, Loren Honaas, Stephen Ficklin

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Retracted: Real-Time Analysis of Basketball Sports Data Based on Deep Learning by null Complexity

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Research on fusion model based on deep learning for text content security enhancement by Shaomin WANG, Zheng WANG, Hua REN

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Improving Access Trust in Healthcare Through Multimodal Deep Learning for Affective Computing by I. Sakthidevi, G. Fathima

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Deep Learning and Recurrence Information Analysis for the Automatic Detection of Obstructive Sleep Apnea by Daniele Padovano, Arturo Martinez-Rodrigo, José M. Pastor, José J. Rieta, Raul Alcaraz

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Optimization of Analytical Reconstruction Algorithms for Arbitrary CBCT Trajectory Using Deep Learning by Yuzhong Zhou, Linda-Sophie Schneider, Yipeng Sun, Andreas K. Maier

“…To address these challenges, this paper proposes two approaches, the first approach enhances the traditional FBP algorithm by using deep learning to train an optimized filter before reconstruction. …”
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Research on Deviation Detection of Belt Conveyor Based on Inspection Robot and Deep Learning by Yi Liu, Changyun Miao, Xianguo Li, Guowei Xu

“…In this paper, a deviation detection method of the belt conveyor based on inspection robot and deep learning is proposed to detect the deviation at its any position. …”
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Android malware detection method based on byte-code image and deep learning by Tieming CHEN, Binbin XIANG, Mingqi LV, Bo CHEN, Xie JIANG

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Retracted: Adaptive Language Processing Based on Deep Learning in Cloud Computing Platform by null Complexity

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Table Extraction with Table Data Using VGG-19 Deep Learning Model by Muhammad Zahid Iqbal, Nitish Garg, Saad Bin Ahmed

“…This study introduces a comprehensive deep learning methodology that is tailored for the precise identification and extraction of rows and columns from document images that contain tables. …”
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Diagnosis and detection of bone fracture in radiographic images using deep learning approaches by Theyazn Aldhyani, Zeyad A. T. Ahmed, Bayan M. Alsharbi, Sultan Ahmad, Sultan Ahmad, Mosleh Hmoud Al-Adhaileh, Ahmed Hassan Kamal, Mohammed Almaiah, Jabeen Nazeer

Subjects: “…deep learning…”
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Explainable deep learning approach for recognizing “Egyptian Cobra” bite in real-time by Elhoseny Mohamed, Hassan Ahmed, Shehata Marwa H., Kayed Mohammed

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Predicting the Number of Passengers in Public Transportation Areas Using the Deep Learning Model LSTM by Joko Siswanto, Sri Yulianto Joko Prasetyo, Sutarto Wijono, Evi Maria, Untung Rahardja

“…They are required by the planning and management authority for bus public transport. A deep learning-based LSTM prediction model is proposed to predict the number of passengers in 4 bus public transportation areas (central, north, south, and west), evaluated by MSLE, MAPE, and SMAPE with dropout, neuron, and train-test variations. …”
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