Trust Region Policy Learning for Adaptive Drug Infusion with Communication Networks in Hypertensive Patients by Mai The Vu, Seong Han Kim, Ha Le Nhu Ngoc Thanh, Majid Roohi, Tuan Hai Nguyen

“…Secondly, a model-free deep reinforcement learning (MF-DRL) algorithm is integrated into the NBC to adjust dynamically the coefficients of the controller. …”
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Association of lipoprotein(a) and LPA gene with calcific aortic valve disease by Xinyi Yu, Zean Fu, Minghuan Yu, Yibo Shi

“…The Gene Set Variation Analysis (GSVA) algorithm was used to synthetically score each gene set and analyze differences in pathways in the LPA gene high- and low-expression groups. …”
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Neural Network-Based Coordinated Virtual Inertia Allocation Method for Multi-Region Distribution Systems by Heng Liu, Jingtao Zhao, Zhi Wu, Shu Zheng

“…Following this, a genetic algorithm-based solving strategy is designed to achieve the global optimal allocation of virtual inertia. …”
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Iterative Assessment of Edge Criticality: Efficiency Enhancement or Hidden Insufficiency Detection by Vasily Lubashevskiy, Hamza Ejjbiri, Ihor Lubashevsky

“…The second is the Optimization-based approach, which treats network decomposition as an integral process and optimizes the edge sequence for network decomposition using genetic-like algorithms. While the Static approach is computationally efficient, the Optimization-based approach potentially yields the best decomposition pattern. …”
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An Integrated Mycobacterial CT Imaging Dataset with Multispecies Information by Zhilin Han, Yuyang Zhang, Wenlong Ding, Xiaoting Zhao, Bingzhen Jia, Tingting Liu, Liang Wan, Zhiheng Xing

“…This resource aims to catalyze AI algorithm development for differential diagnosis, ultimately enhancing precision in NTM management through advanced machine learning applications.…”
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Evaluation of the quality of depression-related information on Chinese websites and video platforms: a cross-sectional comparative analysis by YueDong Chen, Jia Yin, YuKe Ding, ChangYu Wang, JiaXin Zhu, Lu Niu

“…Only the percentage score for JAMA was more than half of the weighted score, while none of the other scales reached half of the score. …”
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Integrated Modeling and Target Classification Based on mmWave SAR and CNN Approach by Chandra Wadde, Gayatri Routhu, Mark Clemente-Arenas, Surya Prakash Gummadi, Rupesh Kumar

“…Background reflectivity was considered to range from 0 to 0.3 (with 0 being a perfect absorber), while object reflectivity was set between 0.8 and 1 (with 1 representing a perfect electric conductor). …”
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Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model by Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

“…For example, the R2 for COD prediction is 0.99954, while the R2 values for NH4 +-N, TP, and TN predictions reach 0.99989. …”
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User Handover Aware Hierarchical Federated Learning for Open RAN-Based Next-Generation Mobile Networks by Amardip Kumar Singh, Kim Khoa Nguyen

“…To address these challenges, we propose MHORANFed, a novel optimization algorithm tailored to minimize learning time and resource usage costs while preserving model performance within a mobility-aware hierarchical FL framework for O-RAN. …”
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Intelligent data-driven system for mold manufacturing using reinforcement learning and knowledge graph personalized optimization for customized production by Chengcai He, Jiaxing Deng, Jingchun Wu, Beicheng Qin, Jinxiang Chen, Yan Li, Qiangsheng Huang

“…The proposed system integrates knowledge graphs with intelligent algorithms to support the development of a smart quality control framework tailored to personalized manufacturing. …”
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Machine Learning-Assisted Sustainable Mix Design of Waste Glass Powder Concrete with Strength–Cost–CO₂ Emissions Trade-Offs by Yuzhuo Zhang, Jiale Peng, Zi Wang, Meng Xi, Jinlong Liu, Lei Xu

“…Subsequently, a MOO framework minimized unit cost and CO₂ emissions while meeting compressive strength targets (15–70 MPa), solved using the NSGA-II algorithm for Pareto solutions and TOPSIS for decision-making. …”
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The spatial extent and the dispersal strategy of species shape the occupancy frequency distribution of stream insect assemblages by I. Szivák, Z. Csabai, D. Schmera, A. Móra

“…Applying a computer program algorithm, we produced samples with different spatial extent. …”
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Data-driven causal behaviour modelling from trajectory data: A case for fare incentives in public transport by Yuanyuan Wu, Alex Markham, Leizhen Wang, Liam Solus, Zhenliang Ma

“…Causal discovery phase uses Peter-Clark (PC) algorithm to learn a directed acyclic graph that captures the causal relationships among variables. …”
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Consideration of corona discharge in relation to operational dispatch control of power system mode 500 kV by V. A. Menshov, A. V. Valiansky, T. I. Khairullin

“…It is also important to take into account dynamic corona discharge for system operated by automatic algorithms in order to avoid occurrence of incorrect interpretations of phase shifts caused by weather changes as potentially dangerous electrical processes caused by regime processes of a possible transition of the system to a pre-emergency state.…”
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Complete Electric Field Characterization of Ultrashort Multicolor Pulses by Maximilian Kubullek, Miguel A. Silva-Toledo, Roland E. Mainz, Fabian Scheiba, Rafael de Q. Garcia, Felix Ritzkowsky, Giulio Maria Rossi, Franz X. Kärtner

“…The method relies on the measurement of the perturbative third-order nonlinear response generated in a noble gas target while varying the delay between 2 pulses. The resulting spectrograms can be reconstructed using a custom evolutionary algorithm. …”
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Exploring the Possibilities of Implementing the ALS-Based 3-30-300 Concept for Urban Green Space Management in Small Municipalities by Krzysztof Mitelsztedt, Mariusz Ciesielski, Tomasz Hycza, Marek Lisańczuk, Kacper Guderski, Sylwia Kurpiewska, Krzysztof Korzeniewski

“…The method proposed in this study shows that the tree visibility component of the 3-30-300 concept is the most fluctuating index, and it strongly depends on the settings of the algorithm parameter, as well as on the placement of artificially generated observers. …”
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Enhanced Inverse Model Predictive Control for EV Chargers: Solution for DC–DC Side by Abdullah Berkay Bayindir, Ali Sharida, Sertac Bayhan, Haitham Abu-Rub

“…IMPC, a recently introduced control method for power electronic converters, leverages the strengths of model predictive control (MPC), while minimizing its computational burden. IMPC excels in managing sophisticated and nonlinear systems, controlling multiple objectives, and adhering to various constraints. …”
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Identifying where and when urban renewal occurs: a continuous change detection-based framework using two decades’ worth of Landsat data by Chong Liu, Qi Zhang, Huabing Huang, Hanzeyu Xu, Xiao Cheng

“…Urban renewal plays a central role in enhancing city liveability by rebuilding outdated structures into productive and vibrant spaces. While satellite remote sensing enables physical characterization of urban environments, identifying the precise location and timing of renewal remains challenging. …”
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Design of Constant Speed Controller for Hydraulic Retarder Based on Robust Control by Pengxiang Song, Ao Meng, Yang Ding

“…In order to verify the effectiveness of the algorithm, three different operating conditions were set according to the vehicle mass and road gradient, and simulation tests were carried out in the MATLAB/Simulink environment. …”
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The future of precision orthopaedics: personalized data-driven practice by Deiary F. Kader, Andrew Coppola, Aditya Vijay, Andreas Fontalis, Fares S. Haddad

“…However, challenges related to data quality, algorithm transparency, ethical considerations, and infrastructure development must be addressed to ensure robust and equitable implementation. …”
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