Results 131 to 140 of about 6,836 (219)

A Morphological Study of Restoration of Damaged Hair Fiber With Chemical Treatments Using Microscopy Techniques

Microscopy Research and Technique, EarlyView.
Assessment of Restoring Chemically Damaged Hair Fibers Using Microscopy and Spectroscopy. ABSTRACT This paper analyses hair restoration products currently on the market that treat chemically processed hair. This study measured the restoration of structural integrity in hair samples from both chemically damaged hair (chemically relaxed, bleached, and ...
L. P. A. Mauricio, R. A. D. Cunha, S. M. Alves   +2 more
wiley   +1 more source

Graph-based deep learning for drug-drug interaction prediction: a systematic review. [PDF]

Front Chem
Liu X, Yu X, Dai Q.
europepmc   +1 more source

Bias Correction of ERA5 Temperature Across Five Topoclimatic Clusters: A Comparative Evaluation of Four Methods

International Journal of Climatology, EarlyView.
ERA5 near‐surface temperature over South America exhibits systematic cold biases in daily maximum temperature and warm biases in daily minimum temperature. To address the continent's strong climatic and topographic heterogeneity, South America was partitioned into five topoclimatic clusters, and four bias‐correction approaches were evaluated. The Multi‐
José Roberto Rozante, Gabriela Rozante
wiley   +1 more source

Enhancing clinically cardiovascular machine learning model for risk prediction via sample augmentation. [PDF]

Front Med (Lausanne)
Tang X, Tang M, Liu W, Cui S.
europepmc   +1 more source

Machine Learning‐Based Correction of Reanalysis Surface Radiation Fluxes Using Ground‐Measured Data in the Southern Brazilian Pampa Biome

International Journal of Climatology, EarlyView.
This study demonstrates that ERA5 provides more accurate surface radiation flux estimates than MERRA2 across the Southern Brazilian Pampa. Machine learning models, particularly Random Forest, further improved the precision of reanalysis data for climate applications.
Olusola Samuel Ojo, Michel Baptistella Stefanello, Alecsander Mergen, Maria Eduarda Oliveira Pinheiro, Vanessa de Arruda Souza, Débora Regina Roberti   +5 more
wiley   +1 more source

Applications of artificial intelligence in mechanical engineering for the field of upper limb exoskeletons. [PDF]

Sci Rep
Rojek I.
europepmc   +1 more source

Promises and limitations of deep learning for predicting knee osteoarthritis progression from medical imaging: A systematic review

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To systematically evaluate the performance, methodological quality, and translational barriers of deep learning (DL) models for predicting knee osteoarthritis (KOA) progression from medical imaging. Methods Following PRISMA guidelines, we searched PubMed, Scopus, and Web of Science (inception to June 2026) for peer‐reviewed studies ...
Amna Gillani, Rüdiger von Eisenhart‐Rothe, Klaus Woertler, Michael T. Hirschmann, Daniel Rueckert, Florian Hinterwimmer   +5 more
wiley   +1 more source

Machine learning classification of cycloplegic refractive status in children and adolescents using non-cycloplegic data across ten provincial-level administrative divisions. [PDF]

BMC Med Inform Decis Mak
Liu K, Luo H, Chen Y, E B, Kuang H, Zhang C, Guo X.   +6 more
europepmc   +1 more source

Land Use and Land Cover Analysis for Solid Waste Management in NCT Delhi Using Fusion Aware Segformer

Land Degradation &Development, EarlyView.
ABSTRACT The use of Land Use Land Cover (LULC) analysis is a fundamental requirement for urban solid waste management (SWM); however, conventional LULC analysis methods are not well suited to the spatio‐temporal variability, multi‐sensor heterogeneity, and seasonal variations of highly dynamic urban environments.
Rubeena Vohra, Ashish Kumar
wiley   +1 more source

The optimization path of smart ice and snow sports tourism industry development under hybrid neural network model. [PDF]

Sci Rep
Sun Y, Nuobu N, Pan X, Chen W.
europepmc   +1 more source