Results 211 to 220 of about 47,963 (344)
Quantifying urban attractiveness from the distribution and density of digital footprints
Fabien Girardin +4 more
openalex +2 more sources
Modular Electronic Microrobots With Onboard Sensor‐Program‐Steered Locomotion
Modular electronic smartlet microrobots integrate ambient‐light energy harvesting, photodetection, programmable CMOS control, and bubble‐based actuation within a sub‐millimeter fold‐up architecture. A 58‐bit on‐board CMOS chiplet enables sensor–program steered switching between independently addressable actuators, achieving closed‐loop 2D navigation in
Vineeth K. Bandari +6 more
wiley +1 more source
Environmental footprint quantification and optimization methods for digital poster design based on life cycle assessment. [PDF]
Liu Y, Ji P.
europepmc +1 more source
Hallgrimson et al. introduce a machine learning algorithm, siMILe, that takes features of single‐molecule localization microscopy localization clusters (e.g., size and sphericity) and finds the clusters that are associated with certain cell conditions (such as differential protein expression or drug treatment).
Christian Hallgrimson +8 more
wiley +1 more source
Fifty percent (50%) of youth between the ages of 8 and 17 have been discovered to use the internet and social media services on a daily basis. This (50%) also demonstrates the rising issues between digital footprints, cyberbullying, and cybercrime rates ...
Aguiar, Jorge
core
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Theory-based promotion of diet and transportation behavior change to reduce carbon footprint among students: Randomized parallel trial of the GROW app. [PDF]
Baretta D, Rüttimann CL, Inauen J.
europepmc +1 more source
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley +1 more source
Accuracy of the Schöttle Technique for Femoral Medial Patellofemoral Ligament Footprint Localization in Trochlear Dysplasia: A Fluoroscopic Case-Control Study on 3-Dimensional-Printed Femurs. [PDF]
Cakir Y +4 more
europepmc +1 more source

