Deep learning quantifies pathologists’ visual patterns for whole slide image diagnosis by Tianhang Nan, Song Zheng, Siyuan Qiao, Hao Quan, Xin Gao, Jun Niu, Bin Zheng, Chunfang Guo, Yue Zhang, Xiaoqin Wang, Liping Zhao, Ze Wu, Yaoxing Guo, Xingyu Li, Mingchen Zou, Shuangdi Ning, Yue Zhao, Wei Qian, Hongduo Chen, Ruiqun Qi, Xinghua Gao, Xiaoyu Cui

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Contrail altitude estimation using GOES-16 ABI data and deep learning by V. R. Meijer, V. R. Meijer, S. D. Eastham, S. D. Eastham, S. D. Eastham, I. A. Waitz, S. R. H. Barrett, S. R. H. Barrett

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Enhancing Feedback Quality at Scale: Leveraging Machine Learning for Learner-Centered Feedback by Ahmad Ari Aldino, Yi-Shan Tsai, Rafael Ferreira Mello, Dragan Gašević, Guanliang Chen

“…Employing a range of machine learning and deep learning techniques, including Random Forest, XGBoost, BERT, and GPT-3.5, we systematically investigated the effectiveness of different approaches for constructing classifiers to accurately categorize feedback into various learner-centered components. …”
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APPROACH TO BUILDING A GLOBAL MOBILE AGENT WAY BASED ON Q-LEARNING by Vitalii Martovytskyi, Oleksandr Ivaniuk

“…The following methods are used: graph theory, queuing theory, Markov decision-making process theory and mathematical programming methods. The research is based on scientific articles and other materials from foreign conferences and archives in the field of machine learning, deep learning and deep reinforcement learning. …”
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Prediction and validation of anoikis-related genes in neuropathic pain using machine learning. by Yufeng He, Ye Wei, Yongxin Wang, Chunyan Ling, Xiang Qi, Siyu Geng, Yingtong Meng, Hao Deng, Qisong Zhang, Xiaoling Qin, Guanghui Chen

“…Anoikis, a special form of programmed cell death, is closely related to the progression of NP. …”
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Challenges of projectification in an engineering school: Lessons learned and room for improving the whole performance of the institution by Claudette El Hajj, Germán Martínez Montes

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Experiences from a land-based learning project focused on local food interventions by Abbey Palmer, Phillip Warsaw, Aaron McKim, R. Bud McKendree, Maezie Nettleton, Tiffany Marzolino, Haley Brasier

“…We find that delivering farm-to-school content in a land-based learning framework pro­vides many of the same benefits of traditional farm-to-school programs, while allowing for great­er flexibility in the construction of the program and providing additional educational benefits not com­monly discussed in the farm-to-school literature. …”
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Reinforcement learning energy management control strategy of electric tractor based on condition identification by Liqiao Li, Jiangchun Chen, Jing Nie, Zongyu Gao

“…The historical driving data are used to construct the driving conditions of ET and obtain the Markov power state transfer probability matrix(MPSTPM) under different CI; Second, to minimize the energy consumption of lithium-titanate battery and supercapacitor hybrid power system(HPS), the power allocation strategy for ET under different CI is obtained by a Q-network RL algorithm; Finally, an learning vector quantization neural network(LVQNN) is used to identify the current ET driving CI through online and real-time, and the control system makes real-time power output decision through the current driving CI. …”
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AI-powered interpretable models for the abrasion resistance of steel fiber-reinforced concrete in hydraulic conditions by Muhammad Nasir Amin, Roz-Ud-Din Nassar, Siyab Ul Arifeen, Muhammad Tahir Qadir, Fahad Alsharari, Muhammad Iftikhar Faraz

“…This study utilizes variables such as hydraulic conditions, curing age, and concrete mixture proportions to develop predictive models for the attrition depth of concrete, employing machine learning approaches including gene expression programming (GEP) and multi-expression programming (MEP). …”
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Implementation of physical education with blended learning based on teacher readiness in Indonesia: systematic review by Cahyo Nugroho Sigit, Muhammad Aliffajaruddin Alfani, Wasis Djoko Dwiyogo

“…Based on the results of the conclusions related to the systematic review that has been carried out, it can be concluded that the synergy between teacher readiness in mastering technology, the role of government through constructive programs, and high student literacy awareness.  …”
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Pre-service EFL Teacher Cognition: Learning to Teach English through Authentic Materials by Dilan Ökcü, Hatime Çiftçi

“…Themain purpose of this study is to investigate how pre-service EFL teachersconstruct their knowledge and understanding while learning to teach through theuse of authentic materials over a 5-week training program. …”
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Application of YOLO-based deep learning and UAV imagery in hybrid maize seed production by Marcelo Araújo Junqueira Ferraz, Pablo de Sousa Arantes, Adriano Teodoro Bruzi, Adão Felipe dos Santos

“…ABSTRACT In maize breeding programs, emasculation is a critical step in the production of hybrid seeds, occurring prior to anthesis. …”
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Machine Learning-Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete by Muhammad Izhar Shah, Shazim Ali Memon, Muhammad Sohaib Khan Niazi, Muhammad Nasir Amin, Fahid Aslam, Muhammad Faisal Javed

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Design of Dual Space Inquiry framework for facilitating flexible learning in digital technology era by Fuja Novitra, Mohd Nor Syahrir Abdullah, Erdogan Özdemir, Selma Riyasni, Emiliannur, Festiyed, Pol Metra

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Identification and validation of key autophagy-related genes in lupus nephritis by bioinformatics and machine learning. by Su Zhang, Weitao Hu, Yelin Tang, Xiaoqing Chen

“…Differentially expressed autophagy-related genes (DE-ARGs) among DEGs, key module genes and autophagy-related genes (ARGs) were obtained by venn plot, and subjected to protein-protein interaction network construction. Two machine learning methods were applied to identify signature genes. …”
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An Intelligent Method for C++ Test Case Synthesis Based on a Q-Learning Agent by Serhii Semenov, Oleksii Kolomiitsev, Mykhailo Hulevych, Patryk Mazurek, Olena Chernyk

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Cross-domain recommendation in MOOCs: A graph capsule network approach with transfer learning by Lian Yuanfeng, Zhuang Yongqi

“…To address these limitations, we propose a novel cross-domain recommendation model integrating graph capsule networks with knowledge-aware transfer learning. Our method constructs a heterogeneous network encompassing MOOC and programming domain entities by using cross-domain meta-paths to capture inter-domain semantic relationships. …”
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IMPROVING JAPANESE SPEAKING SKILLS DURING PROSPECTIVE INTERNS: PICTURE AND PICTURE LEARNING MODEL by Adriana Hasibuan, Muhammad Ali Pawiro

“…This study analyzes the speaking ability in Japanese by nurses who are engaged in prospective interns provided for them who will work in Japan through the EPA (Economic Partnership Agreement) program. The study involves 49 participants following the program and uses quantitative method as proposed by Brown Rodgers (2002). …”
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Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays by Nourhan Zayed, Nahed Tawfik, Mervat M. A. Mahmoud, Ahmed Fawzy, Young-Im Cho, Mohamed S. Abdallah

“…To tackle these issues, it is essential to construct a system based on field-programmable gate arrays (FPGAs) to speed up CNNs. …”
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Automatic essay scoring for discussion forum in online learning based on semantic and keyword similarities by Bachriah Fatwa Dhini, Abba Suganda Girsang, Unggul Utan Sufandi, Heny Kurniawati

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