Automatic brake Driver Assistance System based on deep learning and fuzzy logic. by A R García-Escalante, R Q Fuentes-Aguilar, A Palma-Zubia, E Morales-Vargas

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Assessment and Classification of Service Learning: A Case Study of CS/EE Students by Han-Ying Kao, Yu-Tseng Wang, Chia-Hui Huang, Pao-Lien Lai, Jen-Yeu Chen

“…This study investigates the undergraduate students in computer science/electric engineering (CS/EE) in Taiwan to measure their perceived benefits from the experiences in service learning coursework. In addition, the confidence of their professional disciplines and its correlation with service learning experiences are examined. …”
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Intercostal Nerve Block in Patient with Chronic Obstructive Pulmonary Disease: Lessons Learned by Rhythm Mathur, Bharat Paliwal, Manoj Kamal, Pradeep Kumar Bhatia

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The Study on Modeling of Global Plasmaspheric Hiss Amplitude Based on Deep Learning Algorithm by Rongxin Tang, Zhenghan Wang, Haimeng Li, Zhou Chen, Zhihai Ouyang, Xiaohua Deng

“…In this study, the realistic variation model of plasmaspheric waves is established based on deep learning technology. Using Light Gradient Boosting Machine and Permutation Importance methods, we first select optimal indices and corresponding historical time series associated with variation of plasmaspheric hiss waves. …”
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Deep learning modeling of manufacturing and build variations on multistage axial compressors aerodynamics by Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu

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Gear Fault Diagnosis based on Distribution Adaptation Layer and Soft Label Learning by Zhenguo Jie, Xiyang Wang, Tingkai Gong

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In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models Against Variability by Azhar Ali Khaked, Nobuyuki Oishi, Daniel Roggen, Paula Lago

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Leveraging multiplexed metasurfaces for multi-task learning with all-optical diffractive processors by Behroozinia Sahar, Gu Qing

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Machine learning and AI for advancing Parkinson's disease diagnosis: exploring promising applications by Shohreh Abdollahi, Ramin Safa

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Cross-Linguistic Influences of Learning German in Finnish and German Upper Secondary Schools by Esa M. Penttinen, Heiner Böttger

“…The aim of this study is to find out what importance upper secondary school learners of German attach to the cross-linguistic influence (CLI) regarding specific aspects of German language learning in Finland and Germany. Cross-linguistic learning gives learners additional skills to learn and understand structures and words in their mother tongue, a second language or a foreign language. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

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Retracted: Deep-Learning-Guided Point Cloud Modeling with Applications in Intelligent Manufacturing by Applied Bionics and Biomechanics

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The Importance of Being Uncertain―or What I Learned From Writing History With Rumors by Sebastian Jobs

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Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients by Nuttinan Nalinthasnai, Ratchainant Thammasudjarit, Tanapat Tassaneyasin, Dararat Eksombatchai, Somnuek Sungkanuparph, Viboon Boonsarngsuk, Yuda Sutherasan, Detajin Junhasavasdikul, Pongdhep Theerawit, Tananchai Petnak

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An investigation of machine learning methods applied to genomic prediction in yellow-feathered broilers by Bogong Liu, Huichao Liu, Junhao Tu, Jian Xiao, Jie Yang, Xi He, Haihan Zhang

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Improving Programming Skills: The Impact of Interactive E-Learning Tools on Student Success by Mohammed Alghamdi

“…By identifying key factors that influence e-learning adoption, this study offers valuable insights for optimizing digital learning environments. …”
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Prediction and Analysis of Saltwater Intrusion in Pearl River Estuary Based on Machine Learning by DU Boheng, ZHANG Jingwen, KANG Zheng, CHEN Yifan, HUANG Hanliang, LIN Kairong, XIAO Mingzhong

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Enhanced classification of medicinal plants using deep learning and optimized CNN architectures by Hicham Bouakkaz, Mustapha Bouakkaz, Chaker Abdelaziz Kerrache, Sahraoui Dhelim

“…To address this issue, a deep learning-based framework is proposed in the research for classifying images related to medicinal plants using convolutional neural networks (CNNs). …”
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Learning obstacles in solving story problems on probability for vocational high school students by Nenden Suciyati Sartika, Siti Mega Mustika, Asep Sahrudin, Ika Meika, Ratu Mauladaniyati, Ika Yunitasari

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High-capacity image steganography algorithm combining image encryption and deep learning by Xiaoyuan YANG, Xinliang BI, Jia LIU, Siyuan HUANG

Subjects: “…deep learning…”
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