A statistical learning approach to determine optimal sizing & investment timing of commercial-scale distributed energy resources
Sign Up to like & getrecommendations! Published in 2020 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2020.102596
Abstract: Abstract The problem of optimal sizing and investment timing for a portfolio of gas-fired and photovoltaic (PV) generation is presented and solved using an optimization- classification technique. It is assumed that the demand, the prices… read more here.
Keywords: optimal sizing; determine optimal; investment; investment timing ... See more keywords
Association of Genetic Polymorphism with Taxane-induced Peripheral Neuropathy: Sub-analysis of a Randomized Phase II Study to Determine the Optimal Dose of 3-week Cycle Nab-Paclitaxel in Metastatic Breast Cancer Patients.
Sign Up to like & getrecommendations! Published in 2022 at "Acta medica Okayama"
DOI: 10.18926/amo/64116
Abstract: Chemotherapy-induced peripheral neuropathy (CIPN) is an important clinical challenge that threatens patients' quality of life. This sub-study of the ABROAD trial investigated the influence of single nucleotide polymorphisms (SNPs) on CIPN, using genotype data from… read more here.
Keywords: determine optimal; peripheral neuropathy; sub; study determine ... See more keywords
The application of finite element analysis to determine the optimal UIV of growing-rod treatment in early-onset scoliosis
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Bioengineering and Biotechnology"
DOI: 10.3389/fbioe.2022.978554
Abstract: Objectives: To analyze the stress distribution in the proximal vertebral body and soft tissue of dual growing-rod (GR) with different upper instrumented vertebra (UIV) to determine the optimal UIV. Methods: A ten-year-old male EOS case… read more here.
Keywords: stress; determine optimal; growing rod; finite element ... See more keywords
Using Convolutional Encoder Networks to Determine the Optimal Magnetic Resonance Image for the Automatic Segmentation of Multiple Sclerosis
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11188335
Abstract: Multiple Sclerosis (MS) is a neuroinflammatory demyelinating disease that affects over 2,000,000 individuals worldwide. It is characterized by white matter lesions that are identified through the segmentation of magnetic resonance images (MRIs). Manual segmentation is… read more here.
Keywords: convolutional encoder; encoder; determine optimal; segmentation ... See more keywords