The energy consumption of passenger vehicles is affected by the physical properties environment. ambient temperature in particular has a significant impact on operating consumption. To quantify changed climate with different drivetrain systems, we set up model that calculates change demand respect to multiple global warming levels. In particular, effect rising temperatures battery electric and ...

Abstract The representation of heatwaves (HWs) in the Coupled Model Intercomparison Project phase 6 (CMIP6) models is analyzed. This study (a) evaluates performance CMIP6 simulations against global reanalysis and observations regarding time‐ intensity‐related criteria (b) investigates how HWs are projected to change at different warming levels (GWLs). During 1979–2014, dispersion comparable obs...

Developing accurate soft computing methods for groundwater level (GWL) forecasting is essential enhancing the planning and management of water resources. Over past two decades, significant progress has been made in GWL prediction using machine learning (ML) models. Several review articles have published, reporting advances this field up to 2018. However, existing do not cover several aspects si...

PURPOSE Margin status is one of the most important predictors of local recurrence after breast conserving surgery (BCS). Intraoperative ultrasound guidance (IOUS) has the potential to improve surgical accuracy for breast cancer. The purpose of the present meta-analysis was to determine the efficacy of IOUS in breast cancer surgery and to compare the margin status to that of the more traditional...

The groundwater of the Choushui River alluvial fan in Central Taiwan has been overexploited for a long time. It is essential to understand factors governing changes level (GWL) use water resources. In this study, we first conducted Mann–Kendall test identify significant trends regional GWL and obtained its spatial characteristics using Moran’s I index fan. Furthermore, established geographicall...

Abstract The purpose of this study is the projection climate change's impact on Groundwater Level (GWL) fluctuations in Mashhad aquifer during future period (2022–2064). In first step, climatic variables using ACCESS-CM2 model under Shared Socio-economic Pathways (SSPs) 5–8.5 scenario were extracted. second different machine learning algorithms, including Multilayer Perceptron Neural Network (M...

Abstract Increasing CO2 concentration, temperature rise, and changes in rainfall due to climate change are expected influence groundwater resources irrigated agricultural regions. A simulation study using AquaCrop MODFLOW models was undertaken assess the combined effects of increasing concentrations, temperature, on behavior a rice-wheat cropping region northwest India. Simulations were carried...

Abstract: In this study, a three-parameter lifetime distribution namely generalized weighted Lindley (GLW) distribution is proposed. The GLW distribution is an useful generalization of the weighted Lindley distribution which accommodates increasing, decreasing, decreasing-increasing-decreasing, bathtub, and unimodal hazard rate making it a flexible model for reliable data. A significant account...

Abstract Qualitative analysis of water resources is one the most widely used topics in research today. Researchers use various methods parameters to achieve desired goals this field. This uses artificial intelligence (AI), learning machine (LM), data mining, and mathematical techniques simulate behavior estimate its parametric changes. The proposed model study was a Self-adaptive Extreme (SAELM...