A robot for artistic painting in authentic colors
Artistic robotic painting automates the process of creating an artwork. This complex and
challenging task includes several aspects: creating algorithms for rendering brushstrokes …
challenging task includes several aspects: creating algorithms for rendering brushstrokes …
Predicting the accuracy of genomic predictions
Background Mathematical models are needed for the design of breeding programs using
genomic prediction. While deterministic models for selection on pedigree-based estimates of …
genomic prediction. While deterministic models for selection on pedigree-based estimates of …
Developing a prediction model of demolition-waste generation-rate via principal component analysis
Construction and demolition waste accounts for a sizable proportion of global waste and is
harmful to the environment. Its management is therefore a key challenge in the construction …
harmful to the environment. Its management is therefore a key challenge in the construction …
Development of machine learning model for prediction of demolition waste generation rate of buildings in redevelopment areas
Owing to a rapid increase in waste, waste management has become essential, for which
waste generation (WG) information has been effectively utilized. Various studies have …
waste generation (WG) information has been effectively utilized. Various studies have …
Performance improvement of machine learning model using autoencoder to predict demolition waste generation rate
GW Cha, WH Hong, YC Kim - Sustainability, 2023 - mdpi.com
Owing to the rapid increase in construction and demolition (C&D) waste, the information of
waste generation (WG) has been advantageously utilized as a strategy for C&D waste …
waste generation (WG) has been advantageously utilized as a strategy for C&D waste …
Developing an Optimal Ensemble Model to Estimate Building Demolition Waste Generation Rate
Smart management of construction and demolition (C&D) waste is imperative, and
researchers have implemented machine learning for estimating waste generation. In Korea …
researchers have implemented machine learning for estimating waste generation. In Korea …
[HTML][HTML] Supervised and unsupervised machine learning approaches for prediction and geographical discrimination of Iranian saffron ecotypes based on flower …
A two-year field experiment (2014–2016; Zanjan, Iran) was conducted to monitor potential
diversity pattern and adaptability power among 18 Iranian saffron ecotypes under Zanjan …
diversity pattern and adaptability power among 18 Iranian saffron ecotypes under Zanjan …
Identification of early predictive biomarkers for severe cytokine release syndrome in pediatric patients with chimeric antigen receptor T-cell therapy
M Su, L Chen, L Xie, A Fleurie, R Jonquieres… - Frontiers in …, 2024 - frontiersin.org
CAR-T cell therapy is a revolutionary new treatment for hematological malignancies, but it
can also result in significant adverse effects, with cytokine release syndrome (CRS) being …
can also result in significant adverse effects, with cytokine release syndrome (CRS) being …
Using clinical and radiomic feature–based machine learning models to predict pathological complete response in patients with esophageal squamous cell carcinoma …
J Wang, X Zhu, J Zeng, C Liu, W Shen, X Sun, Q Lin… - European …, 2023 - Springer
Objective This study aimed to build radiomic feature-based machine learning models to
predict pathological clinical response (pCR) of neoadjuvant chemoradiation therapy (nCRT) …
predict pathological clinical response (pCR) of neoadjuvant chemoradiation therapy (nCRT) …
Differentiation between cerebral alveolar echinococcosis and brain metastases with radiomics combined machine learning approach
Y Yimit, P Yasin, A Tuersun, A Abulizi, W Jia… - European Journal of …, 2023 - Springer
Background Cerebral alveolar echinococcosis (CAE) and brain metastases (BM) share
similar in locations and imaging appearance. However, they require distinct treatment …
similar in locations and imaging appearance. However, they require distinct treatment …