Deep reinforcement learning for dynamic vehicle routing with demand and traffic uncertainty by Shirali Kadyrov, Azamkhon Azamov, Yelbek Abdumajitov, Cemil Turan

“…The capacitated vehicle routing problem with dynamic demand and traffic conditions presents significant challenges in logistics and supply chain optimization. …”
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Competency-Based Syllabus and Skills-Based Syllabus of Arabic Learning in College by Nuraini Nuraini

“…Skill-based syllabus organizes materials around the language skills or academic skills that students need to learn the language. further this article present kind and function of syllabus, its also discuss about how to organizing materials to reach goals of arabic learning, and also doscuss some problem encountered in the implementation of the syllabus.…”
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Quantitative analysis of EXAFS data sets using deep reinforcement learning by Eun-Suk Jeong, In-Hui Hwang, Sang-Wook Han

“…Artificial intelligence (AI) techniques, including deep reinforcement learning (RL) methods, present a promising avenue for the rapid and precise analysis of EXAFS data sets. …”
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Deep learning molecular interaction motifs from receptor structures alone by Seeun Kim, Simaek Oh, Hyeonuk Woo, Jiho Sim, Chaok Seok, Hahnbeom Park

“…Most traditional binder designs relied on motifs borrowed from known binder molecules, which highly restricted their applicability to novel targets or new binding sites. This work presents a deep learning network MotifGen that predicts potential binder motifs directly from receptor structures without further supporting information. …”
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Emotional intelligence, motivation and learning strategies: The SSREI and MSLQ-SF questionnaires by Isabel Coronado-Maldonado, Rocío Díaz-Muñoz, José Luis González-Sodis

“…This study analyzes EI and Motivation (MO) through the learning strategies present in 402 university students of the Faculty of Economics and Business and the Faculty of Commerce and Management (Malaga). …”
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Sentiment analysis of emoji fused reviews using machine learning and Bert by Amit Khan, Dipankar Majumdar, Bikromadittya Mondal

“…With an objective to provide a solution to the above drawback, we present a novel approach that performs sentiment analysis, with effective utilization of emojis and emoticons, upon the US Airline tweet dataset using various Machine Learning classifiers and the BERT model. …”
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Early detection of plant leaf diseases using stacking hybrid learning. by Abdullah Sheneamer

“…The early identification of pests and diseases in crops now presents a significant challenge. Different methods have been used to resolve this problem. …”
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Machine Learning Approaches for Predicting Employee Turnover: A Systematic Review by Hojat Talebi, Amid Khatibi Bardsiri, Vahid Khatibi Bardsiri

“…The ability to predict when and why employees are likely to leave enables companies to take proactive measures to reduce turnover rates. This paper presents a systematic review of 58 studies focused on applying machine learning (ML) algorithms to predict employee turnover. …”
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A Case Study of Iranian Students Learning English Interrogative Structures by Froogh Shooshtaryzadeh

“…However, most of these studies have investigated L2 learning process in a natural setting. Therefore, the present study examines the process of learning English by adults as a foreign language in an EFL setting and attempts to find out the probable similarities or differences in language learning process. …”
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Knowledge management in radiation protection: The Goiânia accident - Learning in the face of tragedy by Luis Carlos Jansen, Fernando Barcellos Razuck

“…In this context, the objective of this work was to present some contributions to the learning in the radioprotection area from this accident. …”
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University students' self-regulation in standard and enforced online language learning by Jakub Przybył, Sebastian Chudak

“… Since new learning environments are believed to affect student motivation and cognition, and thus, have a huge impact on the processes underlying self-regulated learning, the transition to online learning due to the COVID-19 pandemic is likely to have challenged students’ ability to remain in charge of the learning process. …”
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A Deep Learning Approach for Spatiotemporal Feature Classification of Infrasound Signals by Xiaofeng Tan, Xihai Li, Hongru Li, Xiaoniu Zeng, Shengjie Luo, Tianyou Liu

“…To overcome these limitations, we present a novel classification framework that effectively captures spatiotemporal infrasound characteristics through Gramian Angular Field (GAF) transformation. …”
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Bibliometric analysis of deep learning in chest X-ray imaging research by Xia-Xuan HUANG, Yong-Mei CHEN, Shi-Qi YUAN, Tao HUANG, Ning-Xia HE, Jun LYU

“…Objective To investigate the development of SCIE and PubMed deep learning literature on chest X-ray imaging.Methods The literature on chest X-ray images published in SCIE and PubMed from January 1, 2017 to December 31, 2021 was searched, and the number of articles, publishing institutions, journals, citations, authors and keywords were statistically analyzed.Results A total of 440 papers were included, and the number of papers presented an annual growth trend. …”
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Blended Learning in Russian Higher Education: The Evolution of the Term in Science and Practice by Elena N. Strelchuk, Mariya N. Kozhevnikova, Victoria S. Borchenko

“…Background/purpose – The concept of “blended learning” was adopted into Russian education from other countries. …”
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Construction and analysis of corporate greenwashing index: a deep learning approach by Xiao Wang, Xukuo Gao, Meng Sun

“…A corporate greenwashing index is constructed using the deep learning-based MacBERT model, which demonstrates bidirectional processing capabilities. …”
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IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning by U. A. Vishniakou, Xia YiWei

“…The results of studying the parameters of the spectra of speech signals by machine learning with the use of neural networks are presented. …”
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Explainable Artificial Intelligence in Deep Learning-Based Solar Storm Predictions by Adam Rawashdeh, Jason T. L. Wang, Katherine G. Herbert

“…Because of the lack of transparency, it is challenging to understand the reasoning behind the model's predictions. Here, we present an approach to making a deep learning-based solar storm prediction model interpretable, where solar storms include solar flares and coronal mass ejections (CMEs). …”
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Enhancing the Continuing Education of Science Teachers with Unplugged Machine Learning Activities by Jhon Alé-Silva, Roberto Araya

“…This article aims to contribute to this goal, specifically in the context of natural science education. To this end, it presents the design, implementation, and evaluation of a proposal for educational activities intended to enhance the teaching strategies of natural science teachers by incorporating Supervised Machine Learning. …”
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Internal and External Learning Races in Born Transnationals: What are the Driving Forces? by Jörg Freiling, Mareike Zimmermann

“…Based on a model of organizational learning, we present and check a model-based set of structured research propositions of the learning process of “born transnationals”. …”
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A Deep Learning Framework for Damage Assessment of Composite Sandwich Structures by Viviana Meruane, Diego Aichele, Rafael Ruiz, Enrique López Droguett

“…This article presents a damage-assessment algorithm for composite sandwich structures that uses full-field vibration mode shapes and deep learning. …”
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