Results 161 to 170 of about 41,045 (213)
Pseudo-depth-based deep neural network model for object detection. [PDF]
Sci RepLi SQ, Feng W, Liu B, Tong X, Li Q.
europepmc +1 more source
Archaeological Prospection, EarlyView.ABSTRACT This document is a report on the field application of non‐invasive geophysical and robotic prospecting methods at the submerged Neolithic site of La Marmotta (Lake Bracciano, Italy), within the LAHKE (LAke Heritage Knowledge and Exploration) project; the study focuses on the practical validation, adaptation and transfer of existing ...
dell' Erba Ramiro +4 more
wiley +1 more source
UAV-based RGB and multispectral mango leaf disease detection with benchmarking of YOLOv5 to YOLOv10 and SeqOpt-optimised YOLOv8 for real-time edge deployment. [PDF]
PLoS OneKarthik RP +3 more
europepmc +1 more source
The ORCA‐TWIN qCMOS Experiment I. Science Case and Commissioning at Calar Alto Observatory
Astronomische Nachrichten, EarlyView.ABSTRACT We describe a pilot study to explore a new generation of fast and low noise CMOS image sensors for time domain astronomy, using two remote telescopes with a baseline of 1635 km. The experiment involves direct imaging with novel qCMOS image sensor technology that combines fast readout with sub‐electron readout noise.
Martin M. Roth +20 more
wiley +1 more source
MCF-YOLO: Consistency-Guided Cross-Modal Attention for Small-Object RGB-IR Detection. [PDF]
Sensors (Basel)Yang X, Yang M, Xie X.
europepmc +1 more source
Clinical Anatomy, EarlyView.ABSTRACT The aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomography were segmented in 3D format and saved in jpeg format as superior–inferior and right–left ...
Yusuf Secgin +8 more
wiley +1 more source
3D Pose Estimation Using Virtual Projection Based on 3D Reconstructed Model. [PDF]
Sensors (Basel)Kim JW +5 more
europepmc +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Carbon Energy, EarlyView.Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
GCA-Trans: Global Context-Aware Transformer for Robust Transparent Object Segmentation in Robotic Environments. [PDF]
J ImagingLi D, Dong Z, Yang Z, Li KK, Huang Y.
europepmc +1 more source
Carbon Energy, EarlyView.This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li +14 more
wiley +1 more source