Prefrontal meta-control incorporating mental simulation enhances the adaptivity of reinforcement learning agents in dynamic environments by JiHun Kim, Jee Hang Lee, Jee Hang Lee, Jee Hang Lee

“…We evaluated this approach through comprehensive experimental simulations across three distinct paradigms: the two-stage Markov decision task, which frequently serves in human learning and decision-making research; stochastic GridWorldLoCA, an established benchmark suite for model-based reinforcement learning; and a stochastic Atari Pong variant incorporating multiple goals under uncertainty.ResultsExperimental results demonstrate Meta-Dyna's superior performance compared with baseline reinforcement learning algorithms across multiple metrics: average reward, choice optimality, and a number of trials for success.DiscussionsThese findings advance our understanding of computational reinforcement learning whilst contributing to the development of brain-inspired learning agents capable of flexible, goal-directed behavior within dynamic environments.…”
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Multi-Scale Contextual Coding for Human-Machine Vision of Volumetric Medical Images by Jietao Chen, Weijie Chen, Qianjian Xing, Feng Yu

“…In recent years, the continuous advancement of digital technologies such as telemedicine and medical cloud computing has promoted collaborative research and diagnosis across multiple medical centers. …”
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Task shifting for non-communicable disease management in low and middle income countries--a systematic review. by Rohina Joshi, Mohammed Alim, Andre Pascal Kengne, Stephen Jan, Pallab K Maulik, David Peiris, Anushka A Patel

“…Since the majority of study designs reviewed were of inadequate quality, future research methods should include robust evaluations of such strategies.…”
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Wetland Scene Segmentation of Remote Sensing Images Based on Lie Group Feature and Graph Cut Model by Canyu Chen, Guobin Zhu, Xiliang Chen

“…Given the increasingly severe destruction of wetlands in recent years, research and monitoring for wetland protection are urgently needed. …”
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Effects of Hybridizing the U-Net Neural Network in Traffic Lane Detection Process by Aron Csato, Florin Mariasiu

“…A vision-based lane detection system is difficult to implement in vehicles due to the unique characteristics of algorithms, neural network architectures, limitations, and strict hardware/software requirements. …”
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Optimizing Personalized and Context-Aware Recommendations in Pervasive Computing Environments by A. C. Kaladevi, V. Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi

“…Abstract The researchers in the current era provided many new recommendation methodologies. …”
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Year-round daily wildfire prediction and key factor analysis using machine learning: a case study of Gangwon State, South Korea by Chanjung Lee, Eun Hyoung Choi, Youngju Han, Yohan Lee

“…We compare multiple algorithms, including Logistic Regression, XGBoost, and Random Forest, and use SHAP (SHapley Additive exPlanations) to enhance interpretability. …”
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Mitigating Transmission Errors: A Forward Error Correction-Based Framework for Enhancing Objective Video Quality by Muhammad Babar Imtiaz, Rabia Kamran

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Edge Artificial Intelligence Device in Real-Time Endoscopy for Classification of Gastric Neoplasms: Development and Validation Study by Eun Jeong Gong, Chang Seok Bang, Jae Jun Lee

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Smart city planning focused on the US cities in need of policing innovations and public health safety technologies and strategies by Delores Springs

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“intelligent Read Across (iRA)”- A tool for read-across-based toxicity prediction of nanoparticles by Souvik Pore, Kunal Roy

“…Experimental evaluation of NP toxicity is resource-intensive and raises ethical issues; therefore, various computational methods are used for toxicity assessments. In this research, we introduce a Python-based tool called “intelligent Read Across (iRA),” which makes predictions using similarity-based read-across algorithms. …”
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Simulation-based Analysis of 20 kW PV System by Atta Ur Rehman, Imtiaz Ahmad

“…To get the most power out of the solar panel under the circumstances, algorithms like MPPT are applied. MPPT also regulates the current supplied to the battery. …”
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Anomaly Detection of Highway Vehicle Trajectory under the Internet of Things Converged with 5G Technology by Ketao Deng

“…The semantic representation is analyzed, and then the moving target detection and moving target tracking algorithms needed to extract the vehicle trajectory are introduced. …”
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Event recognition technology and short-term rockburst early warning model based on microseismic monitoring and ensemble learning by Zibin Li, Dengpan Qiao, Tianyu Yang, Jun Wang, Hao Chen

“…The rockburst early warning model V-soft achieves peak accuracy and F1 scores of 0.9394 and 0.9173, respectively, demonstrating performance improvements of 6.59–15.68% in accuracy and 14.11–27.21% in F1 score compared to conventional machine learning algorithms and ensemble classifiers. This highlights its superior discriminative capability and robustness in predicting high-intensity rockburst events. …”
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A Dynamic Precision Evaluation System for Physical Education Classroom Teaching Behaviors Based on the CogVLM2-Video Model by Chao Liu, Fan Yang, Chengyu Ge, Zhiyu Shao

“…The model layer focuses on behavior recognition and analysis, employing advanced algorithms for precise interpretation of teaching behaviors. …”
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Advancements in Retinal Tissue-Mimicking Optical Coherence Tomography Phantoms: Materials, Properties, and Applications by Mukhit Kulmaganbetov

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A novel approach for multiclass sentiment analysis on Chinese social media with ERNIE-MCBMA by Youyang Sun, Ziyi Yu, Yuyu Sun, Yaqing Xu, Boming Song

“…Conducting sentiment analysis on Weibo posts using natural language processing techniques is crucial for market research and public opinion observation, holding significant commercial and societal importance. …”
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Deep Mining on the Formation Cycle Features for Concurrent SOH Estimation and RUL Prognostication in Lithium-Ion Batteries by Dongchen Yang, Weilin He, Xin He

“…By integrating diverse datasets with advanced algorithms and models, we perform correlation analyses of parameters such as capacity, voltage, temperature, pressure, and strain, enabling precise SOH estimation and RUL prediction. …”
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A Joint Approach for Energy Replenishment and Data Collection with Two Distinct Types of Mobile Chargers in WRSN by Yuxiang Li, Tianyi Shao, Weixin Gao, Feng Lin

“…When compared to the conventional joint algorithms, the simulation results demonstrate that the proposed approach successfully decreases the delay it takes to gather data and recharge nodes.…”
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Artificial intelligence in personalized rehabilitation: current applications and a SWOT analysis by Elpidio Attoh-Mensah, Arnaud Boujut, Arnaud Boujut, Mikaël Desmons, Anaick Perrochon

“…High implementation costs, ethical concerns such as algorithmic bias, and risks of increasing healthcare disparities remain major barriers. …”
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