Search Results - "Deep Learning"

Enhanced neurologic concept recognition using a named entity recognition model based on transformers by Sima Azizi, Daniel B. Hier, Daniel B. Hier, Donald C. Wunsch II, Donald C. Wunsch II

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A Novel Algorithmic Structure of EEG Channel Attention Combined With Swin Transformer for Motor Patterns Classification by Han Wang, Lei Cao, Chenxi Huang, Jie Jia, Yilin Dong, Chunjiang Fan, Victor Hugo C. de Albuquerque

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Multi-Action Knee Contact Force Prediction by Domain Adaptation by Iliana Loi, Evangelia I. Zacharaki, Konstantinos Moustakas

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The Assessment Methods and its Relationship to Learning Approaches of Nursing Students in Kerman University of Medical Sciences Iran by Abbas Abbaszadeh, Fariba Borhani, Sakineh Sabzevari, Zohre Eftekhari

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Latent Space Coding Capsule Network for Mental Workload Classification by Yinhu Yu, Anastasios Bezerianos, Andrzej Cichocki, Junhua Li

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BiLSTM-Based Joint Torque Prediction From Mechanomyogram During Isometric Contractions: A Proof of Concept Study by Jongsang Son, Fandi Shi, William Zev Rymer

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TASA: Temporal Attention With Spatial Autoencoder Network for Odor-Induced Emotion Classification Using EEG by Chengxuan Tong, Yi Ding, Zhuo Zhang, Haihong Zhang, Kevin JunLiang Lim, Cuntai Guan

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CNN comparisons models on dyslexia handwriting classification / Iza Sazanita Isa ... [et al.] by Isa, Iza Sazanita, Zahir, Muhammad Aiman, Ramlan, Siti Azura, Wang, Li-Chih, Sulaiman, Siti Noraini

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Smartphone-based machine learning model for real-time assessment of medical kidney biopsy by Odianosen J. Eigbire-Molen, Clarissa A. Cassol, Daniel J. Kenan, Johnathan O.H. Napier, Lyle J. Burdine, Shana M. Coley, Shree G. Sharma

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Medical Specialty Recommendations by an Artificial Intelligence Chatbot on a Smartphone: Development and Deployment by Lee, Hyeonhoon, Kang, Jaehyun, Yeo, Jonghyeon

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Artificial Intelligence in Pathology by Hye Yoon Chang, Chan Kwon Jung, Junwoo Isaac Woo, Sanghun Lee, Joonyoung Cho, Sun Woo Kim, Tae-Yeong Kwak

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Research advances in forensic diatom testing by Yuanyuan Zhou, Yongjie Cao, Jiao Huang, Kaifei Deng, Kaijun Ma, Tianye Zhang, Liqin Chen, Ji Zhang, Ping Huang

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Investigation of small lung lesion detection for lung cancer screening in low dose FDG PET imaging by deep neural networks by Haijun Guo, Jun Wu, Zongneng Xie, Zongneng Xie, Ivan W. K. Tham, Long Zhou, Jianhua Yan, Jianhua Yan, Jianhua Yan

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Artificial Intelligence Oceanography

Table of Contents: “…Theory and technology of artificial intelligence for oceanography -- Satellite data-driven internal wave forecast model based on machine learning techniques -- Detection and analysis of marine macroalgae based on artificial intelligence -- Tropical cyclone intensity estimation from geostationary satellite imagery -- Reconstructing marine environmental data based on deep learning -- Detecting oceanic processes from space-borne sar imagery using machine learning -- Deep convolutional neural networks-based coastal inundation mapping for un-defined least developed countries: taking madagascar and mozambique as examples -- Ai- based mesoscale eddy study -- Classifying sea ice types from sar images based on deep fully convolutional networks -- Detecting ships and extracting ship's size from SAR images based on deep learning -- Quality control of ocean temperature and salinity data based on machine learning technology -- automatic extraction of internal wave signature from multiple satellite sensors based on deep convolutional neural networks -- Automatic extraction of waterlines from large-scale tidal flats on SAR images and applications based on deep convolutional neural networks -- Forecast of tropical instability waves using deep learning -- Sea surface height prediction based on artificial intelligence.…”
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Transfer Learning With Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-Centre Data by Christian Flores, Marcelo Contreras, Ichiro Macedo, Javier Andreu-Perez

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Future of cardiovascular diagnosis with the support of artificial intelligence by Ania Rymarz, Ewa Grabowska, Laura Wojtala, Lena Musiał, Agnieszka Możdżyńska, Kamil Kapłon, Izabela Kamińska, Dominika Kojder, Małgorzata Sierpień

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A Lightweight Network for Accurate Coronary Artery Segmentation Using X-Ray Angiograms by Xingxiang Tao, Hao Dang, Xiaoguang Zhou, Xiangdong Xu, Danqun Xiong

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A deep neural network approach to predicting clinical outcomes of neuroblastoma patients by Léon-Charles Tranchevent, Francisco Azuaje, Jagath C. Rajapakse

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COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization by Ameer Hamza, Muhammad Attique Khan, Shui-Hua Wang, Abdullah Alqahtani, Shtwai Alsubai, Adel Binbusayyis, Hany S. Hussein, Hany S. Hussein, Thomas Markus Martinetz, Hammam Alshazly

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The Effectiveness of Artificial Intelligence in Detection of Oral Cancer by Natheer Al-Rawi, Afrah Sultan, Batool Rajai, Haneen Shuaeeb, Mariam Alnajjar, Maryam Alketbi, Yara Mohammad, Shishir Ram Shetty, Mubarak Ahmed Mashrah

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