hysterectomy
发表于 2025-3-28 15:03:36
Numerical Optimization of Settlement in Geogrid Reinforced Landfill Clay Cover Barriers,easing the amount of water which comes in contact with the waste. This could lead to the development of profuse amount of leachate, which is highly detrimental to the environment. Geogrid reinforcement of landfill cover can be a low cost and highly efficient way of bolstering the shear strength of t
狗窝
发表于 2025-3-28 20:05:49
Optimization of Bias Correction Methods for RCM Precipitation Data and Their Effects on Extremes,ic or local scale. General Circulation Models (GCMs) and Regional Climate Models (RCMs) are used to understand future climate changes. RCMs have higher resolution to understand the reliable estimation of local-scale climate variables. RCMs show critical biases in precipitation and therefore it is ma
PACK
发表于 2025-3-29 02:20:55
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欢呼
发表于 2025-3-29 03:33:08
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osteocytes
发表于 2025-3-29 10:33:12
Performance Evaluation of Line of Sight (LoS) in Mobile Ad hoc Networks,ight is the biggest problem many are facing, while using Internet. In particular, the problem of mobile station tracking at various base stations is considered. The data is transferred more quickly in a flat area where there are no obstacles. If there were obstacles between the mobile station and th
使虚弱
发表于 2025-3-29 13:48:41
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实现
发表于 2025-3-29 18:31:43
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Thyroiditis
发表于 2025-3-29 21:47:15
Assessment of Stock Prices Variation Using Intelligent Machine Learning Techniques for the Predicti multivariate adaptive regression spline (MARS) and M5 prime regression tree-(M5’). Anticipated models work to predict as there exists vitality for price instability. Daily highs and lows of the stock price data have been considered as the data set. This article discusses about computational ability
开玩笑
发表于 2025-3-30 02:26:01
Short-Term Electricity Load Forecast Using Hybrid Model Based on Neural Network and Evolutionary Alnd. Learning capability, robustness and ability to solve nonlinear problems make ANN widely acceptable. For accurate short-term load forecast (STLF), an ensemble soft computing approach, namely ANN-PSOHm, composed of an artificial neural network (ANN) and particle swarm optimization (PSO) with homeo
indecipherable
发表于 2025-3-30 06:53:58
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