Channel state information–based multi-level fingerprinting for indoor localization with deep learning by Tao Li, Hai Wang, Yuan Shao, Qiang Niu

“…This method using channel state information is termed multi-level fingerprinting with deep learning. Deep neural networks are applied in the deep learning of the first layer of multi-level fingerprinting with deep learning, which includes two phases: an offline training phase and an online localization phase. …”
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Deep learning solutions for inverse problems in advanced biomedical image analysis on disease detection by Amal Alshardan, Hany Mahgoub, Nuha Alruwais, Abdulbasit A. Darem, Wafa Sulaiman Almukadi, Abdullah Mohamed

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Machine learning-driven optimization for predicting compressive strength in fly ash geopolymer concrete by Maryam Bypour, Mohammad Yekrangnia, Mahdi Kioumarsi

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Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research by Jan Benad, Frank Röder, Manfred Eppe

Subjects: “…Reinforcement learning…”
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Adaptive Month Matching: A Phenological Alignment Method for Transfer Learning in Cropland Segmentation by Reza Maleki, Falin Wu, Guoxin Qu, Amel Oubara, Loghman Fathollahi, Gongliu Yang

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Correlation feature and instance weights transfer learning for cross project software defect prediction by Quanyi Zou, Lu Lu, Shaojian Qiu, Xiaowei Gu, Ziyi Cai

Subjects: “…learning (artificial intelligence)…”
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Foreign Learning Platforms in Russian Education System: Potential Capacity Evaluation and Risks Forecasting by A. A. Onosov, E. V. Bryzgalina, N. E. Savina, S. V. Tumanov

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The Modeling of Comprehensive Evaluation System of College Teachers’ Professional Quality Based on Deep Learning by Xiaoying Yang

“…This paper adopts the method of deep learning to evaluate the comprehensive quality of teachers, and the corresponding complete evaluation system of teachers’ comprehensive quality is gradually formed. …”
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Discrimination of superficial lymph nodes using ultrasonography and tissue metabolomics coupled with machine learning by Lu Li, Xinyue Wang, Hongyan Deng, Wenjuan Lu, Yasu Zhou, Xinhua Ye, Yong Li, Jie Wang

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Speed Distribution Prediction of Freight Vehicles on Mountainous Freeway Using Deep Learning Methods by Yuren Chen, Yu Chen, Bo Yu

“…Recurrent neural network (RNN) is a distinctive type of deep learning method to capture the temporary dependency in behavioral research. …”
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Improving the reproducibility in geoscientific papers: lessons learned from a Hackathon in climate science by Alejandro Coca-Castro, Anne Fouilloux, Ricardo Barros Lourenço, Andrew McDonald, Yuhan Rao, J. Scott Hosking

“…The competition aimed at (1) identifying common hurdles to reproduce computational climate science; and (2) creating interactive reproducible publications for selected papers of the Environmental Data Science journal. Based on lessons learned from the challenge, we emphasize the significance of open research practices, mentorship, transparency guidelines, as well as the use of technologies such as executable research objects for the reproduction of geoscientific published research. …”
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Human and other critical factors in organizational learning in the hotel industry: A contingency approa by María del Mar Alonso-Almeida, Maria de la Soledad Celemín-Pedroche, Luis Rubio-Andrada, José Miguel Rodríguez-Antón

Subjects: “…organizational learning…”
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Smart Learning in the 21st Century: Advancing Constructionism Across Three Digital Epochs by Ilya Levin, Alexei L. Semenov, Mikael Gorsky

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Taba Binary, Multinomial, and Ordinal Regression Models: New Machine Learning Methods for Classification by Mohammad Tabatabai, Derek Wilus, Chau-Kuang Chen, Karan P. Singh, Tim L. Wallace

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Retracted: Research on Automatic Classification Method of Ethnic Music Emotion Based on Machine Learning by Journal of Mathematics

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Performance of machine learning tools. Comparve analysis of libraries in interpreted and compiled programming languages by Tomasz Wiejak, Jakub Smołka

Subjects: “…machine learning…”
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Developing national frameworks for climate services: Experiences, challenges and learnings from across Europe by Nicola Golding, Keith Lambkin, Louise Wilson, Rozemien De Troch, Andreas Marc Fischer, Hans Olav Hygen, Angela Michiko Hama, Anita Verpe Dyrrdal, Ella Jamsin, Piet Termonia, Christopher Hewitt

“…A group of five European countries (UK, Ireland, Belgium, Switzerland and Norway) has formed an informal peer-group to support, challenge, and share learning throughout the process of developing and evolving their NFCSs. …”
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Prediction the Choice of Financing for Start-ups using Machine Learning Algorithms and Behavioral Biases by Naimeh Niazi, Hamideh Razavi

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Knowledge Flow Dynamics in Organizations: A Stochastic Multi-Scale Analysis of Learning Barriers by Jih-Jeng Huang, Chin-Yi Chen

“…We develop a novel stochastic multi-scale model introducing knowledge flow viscosity (KFV) to analyze organizational learning dynamics. This model quantifies resistance to knowledge transfer using a time-varying viscosity tensor, capturing both continuous learning processes and discrete knowledge acquisition events. …”
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Exploring Students Online Learning Behavioral Engagement in University: Factors, Academic Performance and Their Relationship by Yonghong Wang, Mingzhang Zuo, Xiangchun He, Zhifeng Wang

Subjects: “…online learning behavioral engagement…”
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