Results 91 to 100 of about 120,272 (297)
Deep Underground Science and Engineering, EarlyView.In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang +4 more
wiley +1 more source
Improving adaptation and interpretability of a short-term traffic forecasting system [PDF]
, 2017 Traffic management is being more important than ever, especially in overcrowded big cities with over-pollution problems and with new unprecedented mobility changes.
Casas Vilaró, Jordi +3 more
core
Deep Underground Science and Engineering, EarlyView.The spiral conical perforations generated during methane in situ explosion fracturing operations lead to tensile fracture propagation in shale reservoirs being governed by the combined effects of impact pressure, bedding, and aperture under explosive loading. Using multiple regression analysis and digital image correlation technology, the mechanisms of
Yabo Chai +7 more
wiley +1 more source
Analysis of non uniform surface current distribution on thick and thin wire antenna [PDF]
, 2013 When wires are closely parallel, the surface current distribution becomes non uniform. Normal mode helical antenna is choosing in particular in order to study the effect of surface current distribution along its segmentation from the excitation ...
Abd. Rahman, Rais Rabani
core
Deep Underground Science and Engineering, EarlyView.B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza +4 more
wiley +1 more source
, 2018 Enhanced mechanical and barrier properties are of special interest in food packaging industries, in which uniform dispersion of nanoparticles in polymers confers considerable improvement in these properties.
K. Majeed, R. Arjmandi, Azman Hassan
semanticscholar +1 more source
Prediction of Pipeline Defect Depth and Classification Based on CatBoost
Energy Science &Engineering, EarlyView.Obtaining detection data using in‐line pipeline inspection, the synthetic minority oversampling technique (SMOTE) is applied to expand the sample set, thereby increasing the number of minority‐class samples. This approach effectively improves minority‐class detection and enhances pipeline safety assessment. ABSTRACT Magnetic flux leakage detection is a
Cong Chen +3 more
wiley +1 more source
Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm
Energy Science &Engineering, EarlyView.Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson +3 more
wiley +1 more source
Energy Science &Engineering, EarlyView.An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan +5 more
wiley +1 more source
Energy Science &Engineering, EarlyView.ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh +3 more
wiley +1 more source