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Energy Science &Engineering, Volume 13, Issue 2, Page 781-810, February 2025.Research Technology Roadmaps ABSTRACT Rolling bearings are fundamental components of contemporary machinery, yet their prolonged usage frequently leads to wear, performance deterioration, and potential faults. In scenarios characterized by limited sample sizes and complex, noisy environments, traditional diagnostic methods often encounter difficulties ...
Jingzong Yang, Xuefeng Li, Min Mao
wiley +1 more source
Rehaussement du signal de parole voisé par filtrage adaptatif des modes intrinsèques empiriques [PDF]
, 2010 In this paper a new method for voiced speech enhancement combining the Empirical Mode Decomposition (EMD) and the Adaptive Center Weighted Average (ACWA) filter is introduced.
TURKI, Monia +2 more
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Structural Control and Health Monitoring, Volume 2025, Issue 1, 2025.The bridge structural health monitoring (SHM) system will inevitably experience missing data. To ensure the integrity and practicability of the bridge SHM system, it is essential to repair the missing data. The existing data recovery methods mainly use the spatial correlation with other monitoring data but cannot adequately capture the time dependence ...
Zhijun Li +4 more
wiley +1 more source
Artificial intelligence and corporate carbon neutrality: A qualitative exploration
Business Strategy and the Environment, Volume 33, Issue 5, Page 3986-4003, July 2024.Abstract Many firms have established formal carbon neutrality (CN) targets in response to the increasing climate risk and related regulatory requirements. Subsequently, they have implemented various measures and adopted multiple approaches to attain these goals. Academic research has given due attention to firms' efforts in this direction.
Adeel Luqman +4 more
wiley +1 more source
Mid-Long Term Hydrological Forecasting Based on Multiple Hybrid Models [PDF]
长江科学院院报[Objective] Improving the prediction accuracy of medium- and long-term hydrological forecast is of great significance for water resources scheduling, flood control and drought relief, and agricultural production.
WEI Xing, CHEN Meng-en, ZHOU Yu-lin, RAN Li-bo, SHI Rui-bo, ZOU Jian-hua
doaj +1 more source
, 2022 Accurate water level forecasting is important to understand and provide an early warning of food risk and discharge. It is also crucial for many plants and animal species that needs specific ranges of water level. This research focused on long term multi-
Mehdi Jamei +11 more
core +1 more source
A Hybrid Monthly Precipitation Prediction Model Based on TVF-EMD and SVR
Renmin ZhujiangAccurate monthly precipitation forecasting is crucial for the scientific management and optimal allocation of water resources, with significant implications for reservoir operation and agricultural irrigation.
LAI Qifeng, ZENG Jiuhan
doaj +2 more sources
Rebranding Tvf Footwear Bandung
, 2021 Penelitian ini bermaksud untuk mengetahui dan mendeskripsikan mengenai Rebranding TVF Footwear Bandung Dalam Meningkatkan Brand Image di Kalangan Konsumen adalah untuk mengetahui pemicu (triggering), analisa dan pengambilan keputusan (analyzing and ...
Sakti, Nova Oktavianus
core +1 more source
EMD Mode Mixing Separation of Signals with Close Spectral Proximity in Smart Grids [PDF]
, 2018 The Empirical Mode Decomposition (EMD) is a signal analysis method that separates multi-component signals into single oscillatory modes called intrinsic mode functions (IMFs).
Fosso, Olav B +3 more
core +1 more source