Results 211 to 220 of about 2,776,337 (305)
Advancements in Machine Learning for Microrobotics in Biomedicine
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi+6 more
wiley +1 more source
Social media and internet use among orthopedic patients in Germany-a multicenter survey. [PDF]
Youssef Y+5 more
europepmc +1 more source
Digital Curation, Copyright, and Academic Research
Andrew Charlesworth
openalex +1 more source
Spring and Power in Hovering Ornithopters
Only small ornithopters can hover, longest at the hummingbird size. This article reviews the drive and power of these hovering machines, focusing on elastic energy and thrust boosters. Unlike two‐winged designs, X‐winged and multiple‐V‐winged ornithopters benefit from lower disk loading and slower, smaller wingbeats, and the clap‐and‐fling effect ...
Gih‐Keong Lau+4 more
wiley +1 more source
Missed opportunities for digital health data use in healthcare decision-making: A cross-sectional digital health landscape assessment in Homa Bay county, Kenya. [PDF]
Chepkirui M+16 more
europepmc +1 more source
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao+5 more
wiley +1 more source
A catchment-scale dataset of soil properties and their mid-infrared spectra. [PDF]
Wadoux AMJ, Stumpf F, Scholten T.
europepmc +1 more source
Report on the 2nd African Digital Scholarship and Curation Conference
Martie Van Deventer, Heila Pienaar
openalex +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni+11 more
wiley +1 more source