Results 91 to 100 of about 3,676,418 (303)
Depth Estimation for Autonomous Robot Navigation: A Comparative Approach
Depth estimation has long been a fundamental problem both in robotics science and in computer vision. Various methods have been developed and implemented in a large number of applications.
Diamantas, Sotirios +2 more
core +1 more source
LFDA: A Framework for Light Field Depth Estimation With Depth Attention
IEEE AccessDepth estimation in light field imaging is integral for the accurate rendering of 3D scenes and a crucial task in light field applications. However, the development of a model that simultaneously achieves high accuracy and speed in light field depth ...
Hyeongsik Kim +2 more
doaj +1 more source
FEBS Open Bio, EarlyView.This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court +3 more
wiley +1 more source
Foreward: Depth Psychology and Climate Change
, 2019 Discussions with Depth Psychologists in the Age of the Anthropocene: This book contains dynamic perspectives on global challenges such as ecological destruction, climate issues, failed leadership, and limiting beliefs, while turning to imagination ...
Marshall, J
core
Perception of relative depth interval : Systematic biases in perceived depth [PDF]
, 2012 Given an estimate of the binocular disparity between a pair of points and an estimate of the viewing distance, or knowledge of eye position, it should be possible to obtain an estimate of their depth separation.
Hibbard, Paul Barry +10 more
core +1 more source
IEEE Open Journal of Intelligent Transportation SystemsMonocular depth estimation is an important topic in computer vision. Recently the CNNs (Convolutional Neural Networks) based model shows a reasonable result from an end-to-end encoder-decoder architecture.
Tsung-Han Tsai, Wei-Chung Wan
doaj +1 more source
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao +5 more
wiley +1 more source
Improving posture classification accuracy for depth sensor-based human activity monitoring in smart environments [PDF]
, 2016 Smart environments and monitoring systems are popular research areas nowadays due to its potential to enhance the quality of life. Applications such as human behaviour analysis and workspace ergonomics monitoring are automated, thereby improving well ...
Yuen, Pong C. +9 more
core +1 more source
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 more
wiley +1 more source