Research on Gear Surface Damage Recognition Based on Small Sample Deep Learning by Wang Xiaopeng, Hua Hongpeng, Lu Changqing, Peng Kun, Zhong Yuan, Wu Biqiong

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Survey of split learning data privacy by QIN Yiqun, MA Xiaojing, FU Jiayun, HU Pingyi, XU Peng, JIN Hai

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Artificial Intelligence in Pediatric Electrocardiography: A Comprehensive Review by David M. Leone, Donnchadh O’Sullivan, Katia Bravo-Jaimes

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Combining CS Unplugged and L2T2L to Bridge the Computing Illiteracy Gap of the Elderly Population: A Case Study by José Alfredo Díaz-León, Olatz Arbelaitz, Mikel Larrañaga, Ana Arruarte

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Review on Deep Learning and Neural Network Implementation for Emotions Recognition by Renas Rajab Asaad

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Detection of malicious domain name based on a classifier combination by Jiantao SHENG, Maofei CHEN, Dongxin LIU, Laifu WANG, Guoshui SHI, Huamin JIN

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Comparative analysis of transfer learning performance on generalised EEG data for use in a depression diagnosis task by Shusharina, Natalia Nikolaevna

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Image segmentation and CNN-based deep learning architectures for the modelling on particulate matter formation during solid fuels combustion by Yanchi Jiang, Lanting Zhuo, Xiaojiang Wu, Zhongxiao Zhang, Xinwei Guo, Wei Wang, Cunjiang Fan

Subjects: “…Deep learning…”
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Research progress and trend of text summarization by Tuosiyu MING, Hongchang CHEN

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Screen Guided Training Does Not Capture Goal-Oriented Behaviors: Learning Myoelectric Control Mappings From Scratch Using Context Informed Incremental Learning by Evan Campbell, Ethan Eddy, Xavier Isabel, Scott Bateman, Benoit Gosselin, Ulysse Cote-Allard, Erik Scheme

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Balanced coarse-to-fine federated learning for noisy heterogeneous clients by Longfei Han, Ying Zhai, Yanan Jia, Qiang Cai, Haisheng Li, Xiankai Huang

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Comparison of deep transfer learning models for classification of cervical cancer from pap smear images by Harmanpreet Kaur, Reecha Sharma, Jagroop Kaur

Subjects: “…Deep learning…”
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Hate Speech Detection Using Large Language Models: A Comprehensive Review by Aish Albladi, Minarul Islam, Amit Das, Maryam Bigonah, Zheng Zhang, Fatemeh Jamshidi, Mostafa Rahgouy, Nilanjana Raychawdhary, Daniela Marghitu, Cheryl Seals

Subjects: “…Deep learning…”
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Relationship between the perception of classroom learning environment and student academic emotions by Lira Fessia Damaianti, Risda Awaliya, Ifa Hanifah Misbach

Subjects: “…perception of classroom learning environment academic emotions learning model educational psychology…”
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Structure-Based Approaches for Protein–Protein Interaction Prediction Using Machine Learning and Deep Learning by Despoina P. Kiouri, Georgios C. Batsis, Christos T. Chasapis

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Exploring psychological dimensions of augmented reality in education: a study on learning motivation and achievement in museums by Anping Cheng, Weiru Zhang, Anran Feng, Yunmengru Wu, Wanjun Li

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Learning-based pattern-data-driven forecast approach for predicting future well responses by Yeongju Kim, Baehyun Min, Alexander Sun, Bo Ren, Hoonyoung Jeong

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Predicting the Compressive Strength of Recycled Concrete Using Ensemble Learning Model by Binghao Pan, Wensheng Liu, Pan Zhou, Dapeng Oliver Wu

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A shallow convolutional neural network for cerebral neoplasm detection from magnetic resonance imaging by Hossein Sadr, Zeinab Khodaverdian, Mojdeh Nazari, Mohammad Yamaghani

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The Complete Inpatient Record Using Comprehensive Electronic Data (CIRCE) project: A team‐based approach to clinically validated, research‐ready electronic health record data by Andrea L. C. Schneider, Jennifer C. Ginestra, Meeta Prasad Kerlin, Michael G. S. Shashaty, Todd A. Miano, Daniel S. Herman, Oscar J. L. Mitchell, Rachel Bennett, Alexander T. Moffett, John Chandler, Atul Kalanuria, Zahra Faraji, Nicholas S. Bishop, Benjamin Schmid, Angela T. Chen, Kathryn H. Bowles, Thomas Joseph, Rachel Kohn, Rachel R. Kelz, George L. Anesi, Monisha Kumar, Ari B. Friedman, Emily Vail, Nuala J. Meyer, Blanca E. Himes, Gary E. Weissman

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