Research onconvolutional neural network for reservoir parameter prediction by You-xiang DUAN, Gen-tian LI, Qi-feng SUN

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Estimation of internal displacement in Ukraine from satellite-based car detections by Marie-Christine Rufener, Ferda Ofli, Masoomali Fatehkia, Ingmar Weber

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Pedestrian surveillance system based on mobile vehicle by Huijun XING, Shuo CHANG

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Image experience prediction for historic districts using a CNN-transformer fusion model by Youping Teng, Weijia Wang

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Mounting Angle Prediction for Automotive Radar Using Complex-Valued Convolutional Neural Network by Sunghoon Moon, Younglok Kim

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The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learning by Fatemeh Bahrambanan, Meysam Alizamir, Kayhan Moradveisi, Salim Heddam, Sungwon Kim, Seunghyun Kim, Meysam Soleimani, Saeid Afshar, Amir Taherkhani

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BEARING FAULT DIAGNOSIS METHOD BASED ON MULTI⁃SCALE AND MULTI⁃PATH ENSEMBLE NETWORK by QI BoWei, LI YuanYuan, SONG LiYuan

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Architecture design of re-configurable convolutional neural network on software definition by Peijie LI, Li ZHANG, Yunfei XIA, Liming XU

Subjects: “…convolutional neural network…”
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Strategies for enhancing deep video encoding efficiency using the Convolutional Neural Network in a hyperautomation mechanism by Xiaolan Wang

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Towards combining self-organizing maps (SOM) and convolutional neural network (CNN) for improving model accuracy: Application to malaria vectors phenotypic resistance by Komi Mensah Agboka, Elfatih M. Abdel-Rahman, Daisy Salifu, Brian Kanji, Frank T. Ndjomatchoua, Ritter A.Y. Guimapi, Sunday Ekesi, Landmann Tobias

Subjects: “…Combining Self-Organizing Maps (SOM) and Convolutional Neural Network (CNN) for improving model accuracy…”
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AAT model based channel estimation for mmWave massive MIMO systems by Shujuan YU, Rong LIU, Yun ZHANG, Na XIE, Liya HUANG

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A VVC intra coding method based on fast partition for coding unit by ZHONG Hui, LU Yu, YIN Haibing, HUANG Xiaofeng

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DETECTION OF KERATOCONUS DISEASE DEPENDING ON CORNEAL TOPOGRAPHY USING DEEP LEARNING by Aseel Abdulhasan Hashim, Mahdi Mazinani

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SACNN‐IDS: A self‐attention convolutional neural network for intrusion detection in industrial internet of things by Mimonah Al Qathrady, Safi Ullah, Mohammed S. Alshehri, Jawad Ahmad, Sultan Almakdi, Samar M. Alqhtani, Muazzam A. Khan, Baraq Ghaleb

Subjects: “…convolutional neural network…”
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Multi-sensing node convolution fusion identity recognition algorithm for radio digital twin by Guofeng WEI, Guoru DING, Yutao JIAO, Yitao XU, Daoxing GUO, Peng TANG

Subjects: “…convolution neural network…”
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Sentiment analysis of tweets employing convolutional neural network optimized by enhanced gorilla troops optimization algorithm by Fang Li, Jialing Li, Francis Abza

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Comparison and verification of detection accuracy for late deceleration with and without uterine contractions signals using convolutional neural networks by Ikumi Sato, Ikumi Sato, Yuta Hirono, Yuta Hirono, Eiri Shima, Hiroto Yamamoto, Kousuke Yoshihara, Chiharu Kai, Chiharu Kai, Akifumi Yoshida, Fumikage Uchida, Naoki Kodama, Satoshi Kasai

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Comparative Analysis of Federated and Centralized Learning Systems in Predicting Cellular Downlink Throughput Using CNN by Kukuh Nugroho, Hendrawan, Iskandar

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Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs by Thiago Fellipe Ortiz de Camargo, Thiago Fellipe Ortiz de Camargo, Guilherme Alberto Sousa Ribeiro, Guilherme Alberto Sousa Ribeiro, Maria Carolina Bueno da Silva, Luan Oliveira da Silva, Pedro Paulo Teixeira e Silva Torres, Denise do Socorro Rodrigues da Silva, Mayler Olombrada Nunes de Santos, William Salibe Filho, Marcela Emer Egypto Rosa, Magdala de Araujo Novaes, Thiago Augusto Massarutto, Osvaldo Landi Junior, Elaine Yanata, Marcio Rodrigues da Cunha Reis, Gilberto Szarf, Pedro Vieira Santana Netto, Joselisa Peres Queiroz de Paiva

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Enhancing Physical Spatial Resolution of Synthetic Aperture Sonar Images Based on Convolutional Neural Network by Pan Xu, Dongbao Gao, Shui Yu, Guangming Li, Yun Zhao, Guojun Xu

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