Titlebook: Numerical Optimization in Engineering and Sciences; Select Proceedings o Debashis Dutta,Biswajit Mahanty Conference proceedings 2020 Spring

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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

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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

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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

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实现

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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

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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

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