The Effect of Fine-Grained Control of Workflow on Informal Learning: The Mediating Effect of Teacher Burnout by Zenghui Lu, Yanning Chen

“…Based on the fine control theory of workflow, this paper constructs a mediating effect model of teacher burnout in primary and secondary school teachers from the perspective of informal learning. The model designs a measurement scale based on the results of fine control, and the scale is revised through informal learning pretests to form the logical frame analysis loop of this paper. …”
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Il Service Learning in area giuridica: l’esperienza dell’Università di Verona by Luigina Mortari, Roberta Silva, Alessia Bevilacqua, Alessandra Cordiano

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Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms by Tejas Joshi, Pulkit Mathur, Parita Oza, Smita Agrawal

Subjects: “…machine learning…”
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Cost-Sensitive Self-Paced Learning With Adaptive Regularization for Classification of Image Time Series by Hao Li, Jianzhao Li, Yue Zhao, Maoguo Gong, Yujing Zhang, Tongfei Liu

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Mobile Learning Model of Tour Guide Business in Universities from the Perspective of Distributed Cognition by Chuanhong Lin, Liangju Wang, Yamei Li

“…In the whole UMU-based hybrid mobile learning model, there is no clear boundary between online learning and offline activities, and online and offline are integrated with each other and crossed according to the actual learning needs to maximize learning efficiency.…”
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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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An Evaluation of Language Learning, Sentence Construction and Writing Developed for Third Graders with Hearing Impairment by Ahmad Ramezani, Abdossaeid Mohammadshafiei, Zeinab Yazdani

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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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Prototype of Swiftlet Nest Moisture Content Measurement Using Resistance Sensor and Machine Learning by Ratu Anggriani Tangke Parung, Hanna Arini Parhusip, Suryasatriya Trihandaru

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User scheduling and power allocation strategy for cell-free networks based on federated learning by WANG Huahua, HUANG Yexia, LI Ling

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Machine learning boosts wind turbine efficiency with smart failure detection and strategic placement by Sekar Kidambi Raju, Muthusamy Periyasamy, Amel Ali Alhussan, Subhash Kannan, Srikanth Raghavendran, El-Sayed M. El-kenawy

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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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The Development of Augmented Reality (Ar) Based Science Learning Media at MI Yaa Bunayya by Fajar Dwi Mukti

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