Results 111 to 120 of about 28,341 (292)
Turbidity‐based digital LAMP offers a low‐cost alternative for nucleic acid quantification, but interpreting bright‐field images is difficult due to weak contrast and noise. We developed NanoFuse‐YOLO11, an AI‐based detection model that automatically identifies positive reaction units in turbidity microscopy images.
Zhu Chen +7 more
wiley +1 more source
Acceleration computing process in wavelength scanning interferometry [PDF]
The optical interferometry has been widely explored for surface measurement due to the advantages of non-contact and high accuracy interrogation. Eventually, some interferometers are used to measure both rough and smooth surfaces such as white light ...
Gao, F. +2 more
core
The performance of drones and artificial intelligence for monitoring sage‐grouse at leks
Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew +2 more
wiley +1 more source
Credit‐Driven Adaptive Grouping for Refined Cooperative Multi‐Agent Reinforcement Learning
ABSTRACT Policy heterogeneity is crucial for achieving sophisticated coordination in complex collaborative tasks, which has emerged as one of the key challenges in multi‐agent reinforcement learning (MARL) in recent years. Notably, the grouping paradigm has made remarkable progress in addressing policy heterogeneity.
Yirui Liu +6 more
wiley +1 more source
TriCrackNet: Trilateral Segmentation Network for Real‐Time Crack Segmentation
ABSTRACT To achieve high‐precision real‐time crack segmentation, we propose TriCrackNet, an efficient network based on a tri‐branch collaborative architecture incorporating boundary constraints, semantic parsing, and spatial refinement. In the semantic branch, efficient atrous spatial pyramid pooling (EASPP) is integrated.
Haixin Jia +5 more
wiley +1 more source
Optimizing OpenFOAM GPU Solvers
The paper presents preliminary research on improving performance of CFD simulations in OpenFOAM via offloading parts of computations (specifically, solution of linear systems) to a graphics accelerator (GPU). We present a short review of OpenFOAM package
Alexander Monakov
doaj
A Novel Microglia-Specific Transcriptional Signature Correlates With Behavioral Deficits in Neuropsychiatric Lupus, Frontiers in Immunology, Feb 2020. Neuropsychiatric symptoms of systemic lupus erythematosus (NP-SLE) affect over one-half of SLE patients ...
Cuda, C
core +1 more source
SFK: Shape‐ and Function‐Grounded Keypoint Representation for Sequential Manipulation
ABSTRACT Sequential manipulation is the process by which robots perform multiple interdependent steps to accomplish composite tasks, demanding tight integration of perception, planning and execution. Existing methods incorporate explicit features such as category, semantics, 6D pose or affordance to enhance consistency, yet single‐feature ...
Yaxin Liu +7 more
wiley +1 more source
Supramolecular approaches to cryorelaxors for biological NMR studies [PDF]
The work reported in this thesis concerns the development of Cryorelaxors having potential applications in very low temperature NMR studies of biological materials.
Cuda, Francesco, Cuda, F.
core
Boosting Embodied Visual Localisation Through Multi‐Granular Semantics and Multi‐Robot Consensus
ABSTRACT Achieving high accuracy and synergy remains extremely difficult for multi‐robot embodied visual localisation, which suffers from persistent real‐world challenges such as viewpoint ambiguity, appearance variation and dynamic occlusion. Conventional optimisation‐based methods often lead to incorrect feature matching without domain adaptation ...
Wenshuai Wang +4 more
wiley +1 more source

