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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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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Full Information Numerical Simulation of Two-Dimensional Steady Ground Temperature Field by Fan Jiang, Shikun Dai, Ying Zhang, Hongjun Tian

“…The equations under different wavenumbers are independent of each other and highly parallel, while retaining vertical spatial domain, with strict upper and lower boundary conditions, which can adapt to the needs of complex terrain simulation. …”
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Efficient control strategy for electric furnace temperature regulation using quadratic interpolation optimization by Serdar Ekinci, Davut Izci, Veysel Gider, Laith Abualigah, Mohit Bajaj, Ievgen Zaitsev

“…To ensure optimal performance, the parameters of the RPIDD2 controller are optimized using metaheuristic algorithms, including the flood optimization algorithm (FLA), reptile search algorithm (RSA), particle swarm optimization (PSO) and differential evolution (DE). …”
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Prediction of Drifter Trajectory Using Evolutionary Computation by Yong-Wook Nam, Yong-Hyuk Kim

“…In contrast to existing numerical models that use the Lagrangian method, we used an optimization algorithm to predict the trajectory. As the evaluation measure, a method that gives a better score as the Mean Absolute Error (MAE) when the difference between the predicted position in time and the actual position is lower and the Normalized Cumulative Lagrangian Separation (NCLS), which is widely used as a trajectory evaluation method of drifters, were used. …”
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Full-chain comprehensive assessment and multi-scenario simulation of geological disaster vulnerability based on the VSD framework: a case study of Yunnan province in China by Li Xu, Shucheng Tan, Runyang Li

“…Thus, scientifically assessing and predicting geological disasters and formulating disaster prevention and mitigation policies are of critical importance for promoting regional sustainable development. However, current evaluations of geological disasters often overlook the adaptive capacity of the disaster-bearing body and focus primarily on cross-sectional comparisons across different regions at specific time points, with insufficient attention to spatiotemporal dynamics. …”
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Global progress in competitive co-evolution: a systematic comparison of alternative methods by Stefano Nolfi, Paolo Pagliuca

“…The selected algorithms promote genuine progress by creating an archive of opponents used to evaluate evolving individuals, generating archives that include high-performing and well-differentiated opponents, identifying and discarding variations that lead to local progress only (i.e., progress against the opponents experienced and retrogressing against others). …”
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Advancements in Microwave Bone Imaging: Tomographic Reconstruction of an Anthropomorphic Calcaneus Phantom Using a Specialized Imaging Prototype for Bone Health Applications by Alessia Cannata, Adnan Elahi, Martin O'Halloran, Marco Pasian, Simona Di Meo, Giulia Matrone, Bilal Amin

“…The evaluation and characterization of microwave imaging (MWI) prototype along with the optimization of imaging algorithm is a precursor step before the clinical study to measure in vivo dielectric properties. …”
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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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Prediction Model for Compaction Quality of Earth-Rock Dams Based on IFA-RF Model by Weiwei Lin, Yuling Yan, Pu Xu, Xiao Zhang, Yichuan Zhong

“…The method utilizes a dynamic inertia weight, an adaptive factor, and a differential evolution strategy to enhance the search capability of the firefly algorithm. …”
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Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means by Agus Fachrur Rozy, Solimun Solimun, Ni Wayan Surya Wardhani

“…There are two commonly applied approaches: the Differential Evolution (DE) algorithm and Fuzzy C-Means (FCM). …”
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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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