Deep characteristic learning model for real-time flow monitoring based on H-ADCP by Yu Li, Xin Zhao, Yibo Wang, Ling Zeng

Subjects: “…Deep characteristic learning…”
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A Review on Deep Learning for Quality of Life Assessment Through the Use of Wearable Data by Vasileios Skaramagkas, Ioannis Kyprakis, Georgia S. Karanasiou, Dimitris I. Fotiadis, Manolis Tsiknakis

Subjects: “…Deep learning…”
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Design and Construction of an Interactive Intelligent Learning System for English Learners in Higher Education Institutions by Ping Chen

“…This paper proposes an interactive intelligent learning system based on artificial intelligence algorithms. …”
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A systematic mapping study of source code representation for deep learning in software engineering by Hazem Peter Samoaa, Firas Bayram, Pasquale Salza, Philipp Leitner

“…Abstract The usage of deep learning (DL) approaches for software engineering has attracted much attention, particularly in source code modelling and analysis. …”
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Global and Local Awareness: Combine Reinforcement Learning and Model-Based Control for Collision Avoidance by Luman Zhao, Guoyuan Li, Houxiang Zhang

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A Closest Resemblance Classifier with Feature Interval Learning and Outranking Measures for Improved Performance by Nabil Belacel

Subjects: “…machine learning…”
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Multistage deep learning methods for automating radiographic sharp score prediction in rheumatoid arthritis by Hajar Moradmand, Lei Ren

“…This study proposes a multistage deep learning model to predict the Overall Sharp Score (OSS) from hand X-ray images. …”
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A Machine Learning Method to improve Supplier Delivery Appointments in Supply Chain Industries by Anitha Palakshappa, Sumana Maradithaya, Charunayana V

“…The objective of this study is to investigate whether the machine learning algorithms can be used to predict the delivery dates of the products based on the trained data. …”
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A Hybrid Deep Learning Method for the Estimation of the State of Health of Lithium-Ion Batteries by Shuo Cheng

“…Compared to other complex deep learning (DL) methods, the VIT-GRU significantly outperforms them, according to the RMSE and MAE of the predicted values.…”
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Detection and diagnosis of unknown threats in power equipment using machine learning and Spark technology by Li Di, Cen Chen, Zhuo Lv, Mingyan Li, Nuannuan Li, Hao Chang

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Improving Industrial Quality Control: A Transfer Learning Approach to Surface Defect Detection by Ângela Semitela, Miguel Pereira, António Completo, Nuno Lau, José P. Santos

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Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data by Youssra Cheriguene, Wael Jaafar, Halim Yanikomeroglu, Chaker Abdelaziz Kerrache

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FROM MICRO CULTURE OF LEARNING TO REGIONAL NEEDS: DEVELOPMENT OF INTERNATIONAL SOCIAL ENTREPRENEURSHIP COURSE by Heidi Myyryläinen, Wilfred Ledoux Tchasse Simo

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Deep Learning Methods for Arabic Autoencoder Speech Recognition System for Electro-Larynx Device by Zinah J. Mohammed Ameen, Abdulkareem Abdulrahman Kadhim

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Enhancing the Achievement of Learning Outcomes for Foreign Language Learners Based on Gamification and Card Games by Yasmeen Alomair, Salah Hammami

“…Gamification and card games have gained increased popularity across diverse educational domains, particularly in the field of foreign language learning (FLL). They offer potent tools that can transform the learning process into an engaging, interactive, and enjoyable experience. …”
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A machine learning based algorithm accurately stages liver disease by quantification of arteries by Zhengxin Li, Xin Sun, Zhimin Zhao, Qiang Yang, Yayun Ren, Xiao Teng, Dean C. S. Tai, Ian R. Wanless, Jörn M. Schattenberg, Chenghai Liu

Subjects: “…Machine learning…”
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Prediction of cardiovascular disease from factors associated with waist hip ratio by machine learning by Zeynep Kucukakcali, Ipek Balikci Cicek

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Enhancing student nurses’ ethical skills via simulation-based learning: barriers and opportunities by Richard M. Rasesemola, Manoko P. T. Molabe

“…While the theme transformative approaches to fostering ethical competency through simulation– based learning indicated some strategies that facilitators could adopt to ensure efficient ethics education for nursing students. …”
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Integrating pharmacogenetics, multi‐omics and machine learning in the novel therapeutic view of pulmonary hypertension by Chenxi Li, Jipeng Xue, Dongchen Zhou, Xiaomeng Qi, Ting Chen, Zhoubin Li

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Diegif: An efficient and secured DICOM to EGIF conversion framework for confidentiality in machine learning training by Abdullah Al Siam, Md Maruf Hassan, Md Atikur Rahaman, Masuk Abdullah

“…The framework comprises four key components: (1) converting DICOM files to GIF format with encryption, (2) decrypting EGIF files for processing, (3) enabling confidentiality-preserving machine learning training using EGIF data, and (4) facilitating physician diagnosis and report generation based on trained machine learning models. …”
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