Results 141 to 150 of about 15,495 (264)
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
Deep Underground Science and Engineering, EarlyView.A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Deep Underground Science and Engineering, EarlyView.A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan +6 more
wiley +1 more source
Deep Underground Science and Engineering, EarlyView.Aluminum‐enhanced afterburning renders AE explosives more hazardous than conventional ones. Corrugated steel linings reduce far‐field AE blast overpressure by ~50% through wave reflection and dissipation. The developed model accurately predicts peak pressure (<10% error) and arrival time (<3% error), supporting protective design.
Zhen Wang +5 more
wiley +1 more source
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.The one‐pot hydrothermal prep of Co‐doped few‐layer 1T‐MoS2 shows Co‐S bonds stabilizing the 1T phase, enhancing supercapacitor performance. Few‐layered 1T‐MoS2 is highly promising for supercapacitor applications due to its wide interlayer spacing, high electrical conductivity, and abundant active sites.
Qingling Jia +4 more
wiley +1 more source
Operations On Strict Fuzzy Graphs and Dominant Fuzzy Graphs
Journal of Ultra Scientist of Physical Sciences Section A, 2017 VASANTHA KANDASAMY W.B, REGIN THANGARAJ
openaire +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Epilepsia Open, EarlyView.Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +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 +5 more
wiley +1 more source
POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS
Energy Science &Engineering, EarlyView.ABSTRACT The increasing transportation demands and environmental concerns in India necessitate the selection of optimal battery technologies for hybrid electric vehicles (HEVs). As the fifth‐largest car market globally, India faces rising vehicle demand, while the transportation sector remains a major contributor to air pollution.
Rinku Kumar Roy +5 more
wiley +1 more source
Intuitionistic fuzzy approach based on correlation coefficient and signless Laplacian energy with applications. [PDF]
Sci RepAtheeque AM, Basha SS.
europepmc +1 more source