RL based transmission power control for energy harvesting sensor by LIU Nanjun, JIA Riheng, XU Wentao, LI Minglu

“…To achieve effective power control of sensors and enhance their performance metrics, such as data throughput, while ensuring long-term life, a reinforcement learning-based power control strategy was designed. …”
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Biasing Rule-Based Explanations Towards User Preferences by Parisa Mahya, Johannes Fürnkranz

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Recent Applications of Theoretical Calculations and Artificial Intelligence in Solid-State Electrolyte Research: A Review by Mingwei Wu, Zheng Wei, Yan Zhao, Qiu He

“…Second, innovative applications of AI methods, including machine learning (ML) and deep learning (DL), in predicting material properties, analyzing structural features, and simulating interfacial behaviors are elaborated. …”
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Computational Modeling and Experimental Approaches for Understanding the Mechanisms of [FeFe]‐Hydrogenase by Chang‐Ah Kim, Jiabin Wu, Jun Zhu, Huaiguang Li, Zhihai Ke

“…This review overviews recent computational and experimental efforts, focusing on density functional theory (DFT) calculations applied to [FeFe] hydrogenases. …”
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Augmented Reality in Higher Education: A Systematic Review and Meta-Analysis of the Literature from 2000 to 2023 by Gege Li, Heng Luo, Di Chen, Peiyu Wang, Xin Yin, Jiakai Zhang

“…The results indicate that AR applications in higher education tend to have a large overall effect size (g = 0.896, 95% confidence interval = [0.685–1.107], <i>p</i> = 0.000), with two significant moderators: instructional function and learning outcomes. Additional sensitivity and publication bias analyses confirmed the robustness of the meta-analytic findings. …”
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Analyse d'une formation plurilingue à distance : actions et interactions by Jean-Jacques Quintin, Monica Masperi

“…This paper focuses on analysing three sessions of cross-comprehension training in romance languages which took place using similar scenarii on the e-learning platform "Galanet"."Galanet" learning schemes assemble large groups of students (from one to two hundred in general) who are geographically located in different universities and committed to completing common tasks the final objective of which is to create a quadrilingual press file publication online.The present study will be developed along two complementary axes:1. a quantitative analysis of the messages posted on the forum page of the platform for each session.2. a qualitative analysis of sample interventions generated in one of these sessions.On the one hand, the quantitative approach will allow for the highlighting of certain salient features of the e-learning experience as a whole, including how sessions function and their impact on both students and tutors.On the other hand, the qualitative approach will allow to examine and understand more fully the discursive practices elicited by the learning scenario and the plurilinguistic dimension of the forum exchanges.…”
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Domain generalization method based on cross-space multi-scale information aggregation and inference consistency by LI Tuoxin, XIANG Fengtao, CHEN Junhai, ZHANG Xiaobo, LYU Yunxiao

“…In machine learning, it typically assumes that training data and testing data of models are drawn from the same distribution. …”
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Multi-Strategy-Improvement-Based Slime Mould Algorithm by Donghai Huang, Tianbing Tang, Yi Yan

“…In addressing the challenges posed by the sluggish convergence rate, suboptimal stability, and susceptibility to local optimization in function optimization problems, a multi-strategy-based enhanced slime mold optimization algorithm (MSSMA) has been proposed. …”
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Performance Investigation of Coated Carbide Tools in Milling Procedures by Paschalis Charalampous

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Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical–Biochemical Parameters by Madina Suleimenova, Kuat Abzaliyev, Ainur Manapova, Madina Mansurova, Symbat Abzaliyeva, Saule Doskozhayeva, Akbota Bugibayeva, Almagul Kurmanova, Diana Sundetova, Merey Abdykassymova, Ulzhas Sagalbayeva

“…<b>Background</b>: This study presents an innovative approach to cardiovascular disease (CVD) risk prediction based on a comprehensive analysis of clinical, immunological and biochemical markers using mathematical modelling and machine learning methods. Baseline data include indices of humoral and cellular immunity (CD59, CD16, IL-10, CD14, CD19, CD8, CD4, etc.), cytokines and markers of cardiovascular disease, inflammatory markers (TNF, GM-CSF, CRP), growth and angiogenesis factors (VEGF, PGF), proteins involved in apoptosis and cytotoxicity (perforin, CD95), as well as indices of liver function, kidney function, oxidative stress and heart failure (albumin, cystatin C, N-terminal pro B-type natriuretic peptide (NT-proBNP), superoxide dismutase (SOD), C-reactive protein (CRP), cholinesterase (ChE), cholesterol, and glomerular filtration rate (GFR)). …”
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Task Offloading Scheme Based on Proximal Policy Optimization Algorithm by Yutong Ma, Junfeng Tian

“…Finally, the deep reinforcement learning PPO algorithm is used for training and learning, and the model is solved. …”
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A new method for 3D face reconstruction using transformers based on action unit features by Hyeonjin Kim, Hyukjoon Lee

“…We also introduce a loss function designed to guide the learning process so that the discrepancy in AU activations between the input and rendered reconstruction is minimized. …”
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Becoming socialized in a COVID-19 World: A survey exploring the response of regional Australians’ health-related behavior patterns by Jodie Kleinschafer, Jessica Kingsford, Julaine Allan

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Application of Transformer Models for Classification of Chest X-rays by Enoel Arrokho Ernandes

“…Computer experiments were conducted on the application of learning transfer for the recognition of pneumonia on chest X-rays. …”
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A Scalable Framework for Post Fire Debris Flow Hazard Assessment Using Satellite Precipitation Data by Elijah Orland, Dalia Kirschbaum, Thomas Stanley

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Research on Target Detection Algorithm for Solder Joint Defects Based on the Improved YOLOv8 by Chengkai Zhang, Xiaocui Feng, Pujun Mao, Fuyan Lv

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RF-YOLOv7: A Model for the Detection of Poor-Quality Grapes in Natural Environments by Changyong Li, Shunchun Zhang, Zhijie Ma

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Lane detection based on IBN deep neural network and attention by Yue Song, Li-yong Wang, Hao-dong Wang, Meng-lin Li

“…Lane detection is an indispensable technology for environmental perception and is a function of autonomous vehicles. Although many researchers have applied deep learning to lane detection and achieved good results, their application scenarios were relatively simple. …”
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Deciphering algorithmic collusion: Insights from bandit algorithms and implications for antitrust enforcement by Frédéric Marty, Thierry Warin

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Mitochondrial autophagy-related gene signatures associated with myasthenia gravis diagnosis and immunity by Shan Jin, Junbin Yin, Wei Li, Ni Mao

“…This plays a vital role in maintaining cell homeostasis and normal function. This study explores the role of mitophagy-related genes (GM) in MG. …”
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