探討強化學習演算法之素材推薦機制與AI學習履歷之學習者感知 Learner Perceptions of AI-Powered Learning Portfolios and Personalized Material Recommendation Mechanisms in Reinforcement Learning Algorithms... by 曾建維 Jian-Wei Tzeng, 黃天麒 Tien-Chi Huang, 薛承祐 Cheng-Yu Hsueh, 廖英淞 Ying-Song Liao

“…Consistent percentile rank increases following practice question completion suggest the system’s capacity to deliver personalized recommendations on the basis of individual differences, thereby facilitating concept-specific feedback and adaptive learning. …”
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Integration of multi agent reinforcement learning with golden jackal optimization for predicting average localization error in wireless sensor networks by K. Lakshmi Prabha, Hanan Abdullah Mengash, Hamed Alqahtani, Randa Allafi

“…The proposed optimized MARL framework dynamically learns optimal parameter adjustments through a reward mechanism, minimizing localization error and its variability even under dynamic network conditions. The GJO algorithm fine-tunes the hyperparameters of MARL to improve generalization across different WSN configurations. …”
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Construction of a risk prediction model for pulmonary infection in patients with spontaneous intracerebral hemorrhage during the recovery phase based on machine learning by Jixiang Xu, Yuan Li, Fumin Zhu, Fumin Zhu, Xiaoxiao Han, Liang Chen, Yinliang Qi, Yinliang Qi, Xiaomei Zhou, Xiaomei Zhou

“…Seven ML algorithms were employed to build predictive models, with performance evaluated based on the area under the receiver operating characteristic (AUC) curve, sensitivity, specificity, and accuracy. …”
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Enhanced AdaBoostM1 with Multilayer Perceptron for Stock Price Prediction by Rebwar Mala Nabi, Soran AB. Saeed, Habibollah Haron

“…Among the predictive models, various adaptations of the AdaBoostM1 algorithm have been applied to stock market prediction, either by tuning parameters or experimenting with different base learners. …”
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Intelligent power control strategy based on self-tuning fuzzy MPPT for grid-connected hybrid system by H. Chaib, S. Hassaine, Y. Mihoub, S. Moreau

“…Unlike conventional methods that rely on logical switches, this intelligent strategy utilizes fuzzy rules adapted to different operating modes for more sophisticated energy control. …”
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Performance assessment of basalt fibre concrete under freeze-thaw cycles using hybrid long short-term memory models by Qingguo Yang, Honghu Wang, Qigui Yi, Liuyuan Zeng, Rui Xiang, Longfei Guan, Jiawei Cheng, Keling Chen, Yunhao Li

“…By integrating self-conducted experimental data and referenced datasets, a diverse experimental database was constructed. Improved algorithms, namely Asynchronous Learning Particle Swarm Optimization (AsyLnCPSO) and Hybrid Genetic Algorithm-based Particle Swarm Optimization (GA-HIDMS-PSO), were paired with LSTM neural networks to systematically evaluate their adaptability and effectiveness in predicting the performance of basalt fiber-reinforced concrete under freeze-thaw conditions. …”
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Feature extraction and fault diagnosis of gearbox based on ICEEMDAN, MPE, RF and SVM by DING Xiaofeng, ZHANG Yuhua

“…Finally, the importance of such features was evaluated by the RF algorithm, and the sensitive features with high importance were selected to form the optimal feature subset as the input to SVM for fault pattern recognition. …”
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Can Integrating SoC Management in Economic Dispatch Enhance Real-Time Operation of a Microgrid? by Alessia Cagnano

“…To enable real-time adaptability, the methodology employs a Lyapunov-based optimization algorithm combined with a sensitivity analysis, ensuring rapid convergence to optimal solutions, even under rapidly changing conditions. …”
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RLDEAO optimized of air quality data clustering analysis(RLDEAO优化的空气质量数据聚类分析) by 田闯(TIAN Chuang), 黄鹤(HUANG He), 杨澜(YANG Lan), 王会峰(WANG Huifeng), 茹锋(RU Feng)

“…In view of this deficiency, we propose the adaptive dimension-by-dimension keyhole imaging reverse learning strategy, Levy flight combined with stagnation perturbation strategy and mutation evolution of the survival of the fittest to improve the search performance of the algorithm, thus avoiding local optimization; Secondly, a weighted maximum minimum distance product (WMMP) is designed to calculate the cluster center point, which can reflect the importance of each feature in the data and play a good role to improve the clustering results; Finally, RLDEAO and WMMP are combined to optimize K-means complementary iteration. …”
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Building an international precision medicine platform trial for the acute respiratory distress syndrome (ARDS): an expert consensus project report by Kiran Reddy, Neil Aggarwal, Narges Alipanah-Lechner, Djillali Annane, David B Antcliffe, Daphne Babalis, J Kenneth Baillie, Abigail Beane, Lieuwe DJ Bos, Aidan Burrell, Carolyn S Calfee, Kiki Cano-Gamez, Victoria R Cornelius, Mary Cross, Emma Davenport, Lorenzo del Sorbo, Laura Esserman, Eddy Fan, Vito Fanelli, Niall D Ferguson, D Clark Files, Christoph Fisser, Shigeki Fujitani, Ewan C Goligher, Anthony C Gordon, Giacomo Grasselli, Fergus Hamilton, Rashan Haniffa, Andrea Haren, Daniel JR Harvey, Leanne M Hays, Anna Heath, Nicholas Heming, Susanne Herold, Tim Hicks, Nao Ichihara, Vinod Jaiswal, Jun Kataoka, Julian C Knight, Patrick R Lawler, Kathleen Liu, John C Marshall, David M Maslove, Michael A Matthay, Daniel F McAuley, Nuala J Meyer, Jonathan A Millar, Holger Müller-Redetzky, Alistair Nichol, John Norrie, Marlies Ostermann, Andrew Owen, Cecilia M O’Kane, Dhruv Parekh, Rachel Phillips, Duncan Richards, Bram Rochwerg, Anthony J Rostron, Hiroki Saito, Romit J Samanta, Vittorio Scaravilli, Wesley Self, Manu Shankar-Hari, A John Simpson, Pratik Sinha, Marry R Smit, Jonathan Stewart, B Taylor Thompson, István Vadász, Ed Waddingham, Steve Webb, Graham Wheeler, D Martin Witzenrath, Mark M Wurfel, Thomas R Martin

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The Specialist’s Paradox: Generalist AI May Better Organize Medical Knowledge by Carlo Galli, Maria Teresa Colangelo, Marco Meleti, Elena Calciolari

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Prediction of Current and Future Distributions of Chalcophora detrita (Coleoptera: Buprestidae) Under Climate Change Scenarios by Arif Duyar, Muhammed Arif Demir, Mahmut Kabalak

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Eyes on nature: Embedded vision cameras for terrestrial biodiversity monitoring by Kevin F. A. Darras, Marcel Balle, Wenxiu Xu, Yang Yan, Vincent G. Zakka, Manuel Toledo‐Hernández, Dong Sheng, Wei Lin, Boyu Zhang, Zhenzhong Lan, Li Fupeng, Thomas C. Wanger

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Wellcounter: Automated high‐throughput phenotyping for aquatic microinvertebrates by Claus‐Peter Stelzer, Dominique Groffman

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From attributes to communities: a novel approach in social network generation by Muhtar Çağkan Uludağlı, Kaya Oğuz

“…Our method is compared against other node-attributed social network generators in the area with using both different evaluation metrics and a real-world dataset. …”
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Italian EoExpert panel recommendation for disease control, switching criteria, and follow-up in eosinophilic esophagitis from pediatric to adult age by Edoardo Vincenzo Savarino, Matteo Fassan, Nicola de Bortoli, Claudio Romano, Antonio Di Sabatino, Roberto Penagini, Francesca Racca, Giovanni Sarnelli, Salvatore Oliva

“…Questionnaire to uncover adaptive behaviors and S.C.O.P.E. (Symptoms Control, Observation, Pathological Evaluation) scheme for comprehensive treatment efficacy evaluation. …”
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SLPDBO-BP: an efficient valuation model for data asset value by Cuiping Zhou, Shaobo Li, Cankun Xie, Panliang Yuan, Zihao Liao

“…Secondly, in an attempt to comprehensively evaluate the optimization performance of SLPDBO, a series of numerical optimization experiments are carried out with 20 test functions and with popular optimization algorithms and dung beetle optimizer (DBO) algorithms with different improvement strategies. …”
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A Comparison of Inversion Methods for Surrogate‐Based Groundwater Contamination Source Identification With Varying Degrees of Model Complexity by Zhenbo Chang, Zhilin Guo, Kewei Chen, Zibo Wang, Yang Zhan, Wenxi Lu, Chunmiao Zheng

“…Each method has its own advantages and disadvantages under specific site conditions. To evaluate the applicability of these methods, we chose one representative inversion algorithm from each category, namely the Improved Butterfly Optimization Algorithm (IBOA) for simulation optimization, the Ensemble Smoother with Multiple Data Assimilation (ES‐MDA) for data assimilation, and the DiffeRential Evolution Adaptive Metropolis with a Snooker Update and Sampling from a Past Archive (DREAM(ZS)) for Bayesian inference. …”
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Underwater acoustic signal denoising method based on DBO–VMD and singular value decomposition by A. Weiyi Chen, B. Shizhe Wang, C. Zongji Li, D. Li Dong

“…The innovation of the method proposed in this article is mainly reflected in (1) using the DBO algorithm to avoid manually setting VMD parameters based on experience, (2) using adaptive threshold to select intrinsic mode function (IMF) components, and (3) combining the VMD method with the SVD method. …”
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Efficient Design Optimization Assisted by Sequential Surrogate Models by Emiliano Iuliano

“…The paper proposes a global optimization algorithm employing surrogate modeling and adaptive infill criteria. …”
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