Results 131 to 140 of about 145,154 (213)

Regional Adjustments to NGA‐West2 Ground‐Motion Models for Turkey

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT This paper presents a ground‐motion model updating (GMMU) framework to adjust NGA‐West2 models for predicting a set of intensity measures in Turkey, including peak ground acceleration (PGA), peak ground velocity (PGV), and pseudo‐spectral acceleration (PSA) at periods ranging from 0.01 to 10 s. The GMMU framework integrates bias identification
Mao‐Xin Wang, Gang Wang
wiley   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Advanced algorithms for UAV tracking of targets exhibiting start-stop and irregular motion. [PDF]

Sci Rep
Nishad DK, Khalid S, Prakash D, Singh VK, Sahani P.   +4 more
europepmc   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Updated probabilistic seismic hazard assessment using M_wg (Das magnitude scale) to address moment magnitude (M) scale inaccuracies below 7.5: a case study from Northeast India. [PDF]

Sci Rep
Das R, Das A, Choudhury D, Meneses C, Barrera FG, Wason HR, Alam MA.   +6 more
europepmc   +1 more source

Investigation of the Dynamic Evolution Mechanism of Bed Separation in Karst Aquifers and Risk Assessment of Water Inrush

Energy Science &Engineering, EarlyView.
This study reveals the temporal and spatial evolution law of roof separation under the karst aquifer and the dynamic water inrush mechanism of roof separation. The FAHP–EWM–CRITIC combination weighting method was established to obtain the risk zoning of bed separation water inrush in a karst landform mining area. ABSTRACT Coalfields in northern Guizhou
Xilong Zhu, Lulin Zheng, Bo Li, Weide Ren, Xiong Liu, Ximin Zhou   +5 more
wiley   +1 more source

Resilient Sinkhorn-Based Optimal Transport Late Fusion Framework for Breast Cancer Diagnosis. [PDF]

Cancer Inform
Asiedu Asare M, Acquah I, Yeboah BA, Owusu E.   +3 more
europepmc   +1 more source

Optimized Dual ANN Control Technique for Efficient Energy Management System (EMS) of Microgrid

Energy Science &Engineering, EarlyView.
Proposed methodology. ABSTRACT The escalating global energy demand necessitates a shift towards sustainable and environmentally friendly alternatives. While renewable energy sources like solar and wind energy offer promising solutions, their intermittent nature poses significant challenges for grid integration.
Bin Li, Bing Qi, Rashid Ali, Abubakar Siddique, Waseem Aslam, Hongfang Pan   +5 more
wiley   +1 more source

From inhibition to regulation: serpins in health and disease. [PDF]

Biomed J
Kattner AA.
europepmc   +1 more source

Adaptive Hybrid Energy Harvester Integrating PV, TEG, and Piezoelectric Sources With Real‐Time Power Management and Experimental Validation

Energy Science &Engineering, EarlyView.
An adaptive hybrid energy harvester combining photovoltaic, thermoelectric, and piezoelectric sources is experimentally demonstrated. Real‐time power management dynamically allocates and conditions multisource inputs, achieving improved robustness and efficiency under variable environmental conditions compared with single‐source harvesting.
P. Ndy Von Kluge, G. G. Sengha, B. Doumia, Y. M. Samba   +3 more
wiley   +1 more source