Multi-objective optimization of residential energy-saving design based on fuzzy multi-criteria decision-making behavior model by Suzhen Pei, Gaoxiang Chen, Jian Yao, Yichen Dang

“…Compared to a deterministic baseline model assuming fixed occupant behavior, the proposed method achieves an 8.95 % reduction in per-unit-area energy consumption (from 32.5 to 29.6 kWh/m2), a 63 % decrease in inter-unit energy differences (from 510 to 189 kWh), and a marginal increase of about 2 % in annual discomfort hours (from 286 to 292 h). …”
Get full text

Resilience driven EV coordination in multiple microgrids using distributed deep reinforcement learning by Yuxin Wu, Ting Cai, Xiaoli Li

“…Then, the coordination problem of each EV is formulated as a partially observable Markov decision process, and an attention-based distributed multi-agent deep deterministic policy gradient method, namely AD-MADDPG, is proposed to learn the optimal strategies. …”
Get full text

Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins by Marco Dal Molin, Dmitri Kavetski, Carlo Albert, Fabrizio Fenicia

“…In this study, the switch from observed to regionalized signatures increases predictive streamflow uncertainty by 38% and worsens the (deterministic) fit to observations by 17% (in terms of Nash‐Sutcliffe efficiency). …”
Get full text

Multi-UAV Path Planning for Air-Ground Relay Communication Based on Mix-Greedy MAPPO Algorithm by Yiquan Wang, Yan Cui, Yu Yang, Zhaodong Li, Xing Cui

“…In this paper, a Multi-Agent Reinforcement Learning (MARL) method based on the ε-greedy strategy and multi-agent proximal policy optimization (MAPPO) algorithm is proposed to address the local optimization problem, improving the communication efficiency and task execution capability of UAV cluster control. …”
Get full text

Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…To address these limitations, this study employs the covariance matrix decomposition method to generate 3D lognormal random fields for soil parameters, enabling efficient modeling of spatial variability. …”
Get full text

A Robust Longitudinal Control Strategy of Platoons under Model Uncertainties and Time Delays by Na Chen, Meng Wang, Tom Alkim, Bart van Arem

“…Automated vehicles are designed to free drivers from driving tasks and are expected to improve traffic safety and efficiency when connected via vehicle-to-vehicle communication, that is, connected automated vehicles (CAVs). …”
Get full text

Research on Long-Term Scheduling Optimization of Water–Wind–Solar Multi-Energy Complementary System Based on DDPG by Zixing Wan, Wenwu Li, Mu He, Taotao Zhang, Shengzhe Chen, Weiwei Guan, Xiaojun Hua, Shang Zheng

“…To address the challenges of high complexity in modeling the correlation of multi-dimensional stochastic variables and the difficulty of solving long-term scheduling models in continuous action spaces in multi-energy complementary systems, this paper proposes a long-term optimization scheduling method based on Deep Deterministic Policy Gradient (DDPG). …”
Get full text

Effect of Warming on Soil Fungal Community Along Altitude Gradients in a Subalpine Meadow by Jing Yin, Dandan Yuan, Jing Lu, He Li, Shuzheng Luo, Jianhua Zhang, Xingjia Xiang

“…In contrast, warming triggered more deterministic processes to decrease fungal diversity at medium and high altitudes. …”
Get full text

Performance estimation of a steam-turbine driven multistage compressor system by Aleksa Miladinović, Jasna Stajić – Trošić, Mirjana Kijevčanin, Vladimir Stijepović, Sabla Y. Alnouri, Mirko Stijepović

“…As such, the method's effectiveness was demonstrated with model efficiencies closely matching design values within 2–10 % deviation for most stages, and highlighting areas for improvement where deviations reached up to 37 % in later stages.…”
Get full text

Artificial intelligence demonstrates potential to enhance orthopaedic imaging across multiple modalities: A systematic review by Umile Giuseppe Longo, Alberto Lalli, Guido Nicodemi, Matteo Giuseppe Pisani, Alessandro De Sire, Pieter D'Hooghe, Ara Nazarian, Jacob F. Oeding, Balint Zsidai, Kristian Samuelsson

“…The aim of this systematic review is to evaluate the effectiveness and reliability of AI applications in orthopaedic imaging, focusing on their impact on diagnostic accuracy, image segmentation and operational efficiency across various imaging modalities. Methods Based on the PRISMA guidelines, a comprehensive literature search of PubMed, Cochrane and Scopus databases was performed, using combinations of keywords and MeSH descriptors ('AI', 'ML', 'deep learning', 'orthopaedic surgery' and 'imaging') from inception to March 2024. …”
Get full text

An integrated workflow combining machine learning and wavelet transform for automated characterization of heterogeneous groundwater systems by Musaab A. A. Mohammed, Norbert P. Szabó, Abdelrhim Eltijani, Péter Szűcs

“…Geophysical well logging data offers an efficient and continuous alternative, though manual interpretation of well logs can be challenging and may result in ambiguous outcomes. …”
Get full text

Optimization of Thermal Insulation Parameters for Vertical Perimeters in Buildings with Single-Layer Walls by Walery Jezierski, Paula Szczepaniak, Cezary Leszczyński

“…Using THERM 7.6 software for computational experiments, data were obtained to develop deterministic mathematical models of these relationships. …”
Get full text

Cost and effectiveness of differentiated ART service delivery strategies in Zambia: a modelling analysis using routine data by Nkgomeleng A. Lekodeba, Sydney Rosen, Bevis Phiri, Sithabiso D. Masuku, Caroline Govathson, Aniset Kamanga, Prudence Haimbe, Hilda Shakwelele, Muya Mwansa, Priscilla Lumano‐Mulenga, Amy N. Huber, Sophie J. S. Pascoe, Lise Jamieson, Brooke E. Nichols

“…Methods We developed an Excel‐based mathematical model using retrospective retention and viral suppression data from a national cohort of ART clients (≥15 years) in Zambia between January 2018 and March 2022 stratified by age, sex, setting (urban/rural) and model of ART delivery. …”
Get full text

Channel Path Loss Prediction Using Satellite Images: A Deep Learning Approach by Chenlong Wang, Bo Ai, Ruisi He, Mi Yang, Shun Zhou, Long Yu, Yuxin Zhang, Zhicheng Qiu, Zhangdui Zhong, Jianhua Fan

“…For traditional stochastic and deterministic models, it is difficult to strike a balance between prediction accuracy and generalizability. …”
Get full text

Enhanced Single Cavity Soliton Generation in Kerr Microresonators Via Inverse-Kelly Sideband by Mingle Liao, Heng Zhou, Yong Geng, Yun Ling, Baojian Wu, Kun Qiu

“…The formation of dissipative cavity solitons in microresonators provides an efficient process for ultrashort pulse synthesis and mode-locking of Kerr frequency combs. …”
Get full text

Linking Data for Mothers and Babies in De-Identified Electronic Health Data. by Katie Harron, Ruth Gilbert, David Cromwell, Jan van der Meulen

“…<h4>Results</h4>Of 672,955 baby records in 2012/13, 280,470 (42%) linked deterministically to a maternal record using hospital, GP practice, maternal age, birthweight, gestation, birth order and sex. …”
Get full text

Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…Therefore, this study presents a compensation control method for ship heave under complex sea conditions using an improved reinforcement learning approach.MethodsThis novel method imparts fresh insights into addressing heavy compensation in offshore operations and heralds a new trajectory for the evolution of future offshore operation technologies. …”
Get full text

Presenting a Quantum Leadership Model to Establish Organizational Civilization in the Iranian Higher Education System by reza heydari, hamidreza rezaeekelidbari, musa chaman zamin

“…Abstract The aim of this study is to present a quantum leadership model to establish organizational civilization in the Iranian higher education system. The research method is fundamental in terms of its purpose, and qualitative in terms of its implementation method, with inductive-deductive logic. …”
Get full text

Universal algorithm for transforming Hamiltonian eigenvalues by Tatsuki Odake, Hlér Kristjánsson, Philip Taranto, Mio Murao

“…Our algorithm uses correlated randomness to efficiently combine two subroutines—namely controlization and Fourier series simulation—exemplifying a general compilation procedure that we develop. …”
Get full text

Prediction of Expected Fouling Time During Transmembrane Transition in Reverse Osmosis Systems by Jozsef Lakner, Gabor Lakner

“…However, a common limitation of these methods is that they typically assume constant and well-defined operating parameters over time. …”
Get full text