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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River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model by Kecong Wu, Lirong Chen, Yalige Bai, Xinhang Wang, Danzeng Pingcuo, Zhongpeng Han, Chengshan Wang

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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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Impact of Dataset Size on 3D CNN Performance in Intracranial Hemorrhage Classification by Chun-Chao Huang, Hsin-Fan Chiang, Cheng-Chih Hsieh, Bo-Rui Zhu, Wen-Jie Wu, Jin-Siang Shaw

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RESEARCH ABOUT FAULT DIAGNOSIS OF BEARING BASED ON INSTRINSIC TIME SCALE DECOMPOSITION AND CONVOLUTIONAL NEURAL NETWORK by XIAO JunQing, YUE MinNan, LI Chun, JIN JiangTao, XU ZiFei, MIAO WeiPao

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An intrusion detection model based on Convolutional Kolmogorov-Arnold Networks by Zhen Wang, Anazida Zainal, Maheyzah Md Siraj, Fuad A. Ghaleb, Xue Hao, Shaoyong Han

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An attention based residual U-Net with swin transformer for brain MRI segmentation by Tazkia Mim Angona, M. Rubaiyat Hossain Mondal

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Detection of non‐suicidal self‐injury based on spatiotemporal features of indoor activities by Guanci Yang, Siyuan Yang, Kexin Luo, Shangen Lan, Ling He, Yang Li

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Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection by Jia Xu, Han Pu, Dong Wang

Subjects: “…deep convolutional neural network…”
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A customized convolutional neural network-based approach for weeds identification in cotton crops by Hafiz Muhammad Faisal, Muhammad Aqib, Muhammad Aqib, Khalid Mahmood, Mejdl Safran, Sultan Alfarhood, Imran Ashraf

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Multi-scale Logo detection algorithm based on convolutional neural network by Yuchao JIANG, Lixin JI, Chao GAO, Shaomei LI

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Improved Estimation of Aboveground Biomass in Rubber Plantations Using Deep Learning on UAV Multispectral Imagery by Hongjian Tan, Weili Kou, Weiheng Xu, Leiguang Wang, Huan Wang, Ning Lu

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Securing Urban Landscape: Cybersecurity Mechanisms for Resilient Smart Cities by Qiang Lyu, Sujuan Liu, Zhouyuan Shang

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Bringing Intelligence to SAR Missions: A Comprehensive Dataset and Evaluation of YOLO for Human Detection in TIR Images by Mostafa Rizk, Israa Bayad

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Graph Knowledge Structure for Attentional Knowledge Tracing With Self-Supervised Learning by Zhaohui Liu, Sainan Liu, Weifeng Gu

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Deep Feature Learning for Intrinsic Signature Based Camera Discrimination by Chaity Banerjee, Tharun Kumar Doppalapudi, Eduardo Pasiliao, Tathagata Mukherjee

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Convolutional neural networks for classifying healthy individuals practicing or not practicing meditation according to the EEG data by X. Fu, S. S. Tamozhnikov, A. E. Saprygin, N. A. Istomina, A. N. Klemeshova, A.  N. Savostyanov

Subjects: “…convolutional neural networks…”
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