Results 91 to 100 of about 323,408 (293)

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Unsupervised Learning of Edges [PDF]

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Camera ready version for CVPR ...
Yin Li 0003, Manohar Paluri, James M. Rehg, Piotr Dollár   +3 more
openaire   +3 more sources

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Advances and Challenges in Deep Learning-Based Change Detection for Remote Sensing Images: A Review through Various Learning Paradigms

Remote Sensing
Change detection (CD) in remote sensing (RS) imagery is a pivotal method for detecting changes in the Earth’s surface, finding wide applications in urban planning, disaster management, and national security.
Lukang Wang, Min Zhang, Xu Gao, Wenzhong Shi   +3 more
doaj   +1 more source

vfonsecad/unsupervised-sample-selection: publication

, 2021
This repository is maintained at https://github.com/vfonsecad/unsupervised-sample ...
Bart De Ketelaere, Wouter Saeys, Ben Aernouts, Valeria Fonseca Diaz   +3 more
core   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

Unsupervised Optical-Sensor Extrinsic Calibration via Dual-Transformer Alignment

Sensors
Accurate extrinsic calibration between optical sensors, such as camera and LiDAR, is crucial for multimodal perception. Traditional methods based on specific calibration targets exhibit poor robustness in complex optical environments such as glare ...
Yuhao Wang, Yong Zuo, Yi Tang, Xiaobin Hong, Jian Wu, Ziyu Bian   +5 more
doaj   +1 more source

Self‐Cleaning Sensor Surfaces for Long‐Term Environmental Monitoring

Advanced Engineering Materials, EarlyView.
Long‐term use of unattended outdoor sensors without soiling or biofouling is achieved through generation of a micro‐ and nanorough cuvette surface by combing hydrophobic nanoparticles with fluorinated polymers, crosslinked and surface‐attached through CHic chemistry. The coating demonstrates self‐cleaning behavior and prolonged outdoor stability, which
Sanam Kumari Rajak, Yasmina Frey, Ulrike Wallrabe, Oswald Prucker, Jürgen Rühe   +4 more
wiley   +1 more source

Preliminary Results of an Exercise Program After Laparoscopic Resective Colorectal Cancer Surgery in Non-Metastatic Adenocarcinoma: A Pilot Study of a Randomized Control Trial

Medicina, 2020
Background and objectives: Performing physical exercise after a colorectal cancer diagnosis is associated with lower mortality related to the tumor itself.
Gabriele Mascherini, Maria Novella Ringressi, Jorge Castizo-Olier, Georgian Badicu, Alfredo Irurtia, Laura Stefani, Giorgio Galanti, Antonio Taddei   +7 more
doaj   +1 more source

Printed Integrated Logic Circuits Based on Chitosan‐Gated Organic Transistors for Future Edible Systems

Advanced Functional Materials, EarlyView.
Edible electronics needs integrated logic circuits for computation and control. This work presents a potentially edible printed chitosan‐gated transistor with a design optimized for integration in circuits. Its implementation in integrated logic gates and circuits operating at low voltage (0.7 V) is demonstrated, as well as the compatibility with an ...
Giulia Coco, Valerio Francesco Annese, Valerio Galli, Ilaria Penna, Debora Russo, Marina Veronesi, Rita Scarpelli, Stefania Sabella, Mario Caironi   +8 more
wiley   +1 more source