-
381
Multiagent, multitimescale aggregated regulation method for demand response considering spatial–temporal complementarity of user-side resources
Published 2025-04-01“…The integration of substantial renewable energy and controllable resources disrupts the supply–demand balance in distribution grids. …”
Get full text
Article -
382
-
383
-
384
Study on comprehensive landslide risk zoning method in open pit mines under multi factor coupling effects
Published 2025-07-01“…To integrate these results, we employ a combined cross-matrix analysis and simple weighted averaging method, further refining the comprehensive risk zoning by dynamically incorporating factors such as slope along-strike surface shape, seasonal (climatic) variations, fault characteristics, and distribution of infrastructure. …”
Get full text
Article -
385
Open-circuit diagnosis method based on dual-mode voltage residual model for T-type three-level inverter
Published 2025-04-01“…The method is based on the voltage residual method and is integrated with a three-level fault-tolerant algorithm. …”
Get full text
Article -
386
Prediction of Reverberant Properties of Enclosures via a Method Employing a Modal Representation of the Room Impulse Response
Published 2015-07-01“…For small sound absorption on room walls this solution was found by means of the method of variation of parameters. A decay function was computed via the time-reverse integration of the squared RIR. …”
Get full text
Article -
387
An Action Evaluation Method for Virtual Reality Simulation Power Training Based on an Improved Dynamic Time Warping Algorithm
Published 2024-12-01“…By constructing an action recognition model centered on hand keypoints, the proposed method integrates distance similarity and cosine similarity to account comprehensively for both numerical differences and directional consistency of action features. …”
Get full text
Article -
388
Big-Data-Assisted Urban Governance: A Machine-Learning-Based Data Record Standard Scoring Method
Published 2025-04-01“…To address these shortcomings, this study develops a comprehensive scoring method tailored for evaluating multi-dimensional data record standards in government hotline data. …”
Get full text
Article -
389
Decision-making algorithm with complex hesitant fuzzy partitioned maclaurin symmetric mean aggregation operators and SWARA method
Published 2025-05-01“…The study further extends the stepwise weight assessment ratio analysis (SWARA) method to the CHFS framework, facilitating the derivation of attribute weights under uncertain and complex conditions. …”
Get full text
Article -
390
Robust Tracking Method for Small and Weak Multiple Targets Under Dynamic Interference Based on Q-IMM-MHT
Published 2025-02-01“…To address these issues, this paper presents an improved multi-target tracking algorithm, termed Q-IMM-MHT. This method integrates Multiple Hypothesis Tracking (MHT) with Interactive Multiple Model (IMM) and introduces a Q-learning-based adaptive model switching strategy to dynamically adjust model selection in response to variations in the target’s motion patterns. …”
Get full text
Article -
391
A reinforcement learning based real-time energy management method for mobile microgrid considering photovoltaic uncertainty
Published 2025-09-01“…To address this issue, this paper proposes a real-time energy management optimization method based on reinforcement learning, specifically tailored to handle PV uncertainty and dynamic load variations during navigation. …”
Get full text
Article -
392
Smart Cities and Resident Well-Being: Using the BTOPSIS Method to Assess Citizen Life Satisfaction in European Cities
Published 2024-11-01“…This paper introduces an innovative adaptation of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, integrating a Belief Structure (BTOPSIS) to improve the evaluation and interpretation of survey data. …”
Get full text
Article -
393
-
394
-
395
3D-CWC: A Method to Evaluate the Geological Suitability for Layered Development and Utilization of Urban Underground Space
Published 2025-03-01“…Traditional 2D evaluation methods fail to capture complex vertical variations in underground space, hindering precise planning. …”
Get full text
Article -
396
A Machine Learning-Based Method for Lithology Identification of Outcrops Using TLS-Derived Spectral and Geometric Features
Published 2025-07-01“…To address the limitations of traditional field surveys, such as low efficiency and high risk, we proposed an intelligent lithology recognition method, SG-RFGeo, for terrestrial laser scanning (TLS) outcrop point clouds, which integrates spectral and geometric features. …”
Get full text
Article -
397
Development and validation of a quality appraisal tool for case reports in traditional Chinese medicine using the Delphi method
Published 2025-06-01“…Items were screened based on measures of central tendency and coordination (including total score, mean score, percentage of items rated as unimportant, and coefficient of variation). The weighted average method was used to determine item weights and construct the appraisal tool. …”
Get full text
Article -
398
Penerapan Metode Proyek Dalam Kurikulum Merdeka Pada Mata Pelajaran Al-Quran Hadits
Published 2024-10-01“…This study examines the application of the project method in learning Al-Quran Hadith class X at MAN 4 Jombang in the context of the Merdeka Curriculum. …”
Get full text
Article -
399
Indirect Measurement Method of Compression Cycle Parameters of Liquid-driven Reciprocating Hydrogen Compressor Based on Vibration Analysis
Published 2024-11-01“…It develops and validates a novel non-direct measurement method that enhances the reliability and efficiency of parameter extraction in liquid-driven reciprocating hydrogen compressors, which are crucial for operational efficiency and diagnostic accuracy in hydrogen fuel systems.Methods The proposed method integrates Variational Time-Domain Decomposition (VTDD), Hilbert transform, and autocorrelation functions to enhance signal analysis and parameter extraction in noisy environments. …”
Get full text
Article -
400
Advances in AI-based rainfall forecasting: a comprehensive review of past, present, and future directions with intelligent data fusion and climate change models
Published 2025-09-01“…Accurate rainfall forecasting is crucial for managing water resources, supporting agriculture, and preparing for natural disasters, especially as climate variability becomes more pronounced. Traditional methods often struggle with the complexity and unpredictability of rainfall patterns across different climates, driving interest in advanced modelling approaches capable of capturing such nonlinear dynamics. …”
Get full text
Article