Results 111 to 120 of about 1,194,643 (283)

DAR-MDE: Depth-Attention Refinement for Multi-Scale Monocular Depth Estimation

open access: yesJournal of Sensor and Actuator Networks
Monocular Depth Estimation (MDE) remains a challenging problem due to texture ambiguity, occlusion, and scale variation in real-world scenes. While recent deep learning methods have made significant progress, maintaining structural consistency and ...
Saddam Abdulwahab   +3 more
doaj   +1 more source

Language-Based Depth Hints for Monocular Depth Estimation

open access: yesCoRR
8 pages, 1 figure.
Dylan Auty, Krystian Mikolajczyk
openaire   +2 more sources

CAR T‐Cell Therapy in Neurology: A Scoping Review of Neuro‐Oncology, Autoimmune Diseases & Neurotoxicity

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Chimeric antigen receptor (CAR) T‐cell therapy has been investigated in neurological diseases, encompassing both central nervous system malignancies and autoimmune disorders, thereby extending its application beyond hematological cancers.
Omar Alqaisi   +5 more
wiley   +1 more source

Perceived Impacts and Predictors of Cannabis Products used by Rheumatology Patients in Alberta: A Multivariable Analysis of Cross‐sectional Survey Data

open access: yesArthritis Care &Research, Accepted Article.
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among rheumatology patients, and their associations with patient factors, patient reported perceived side effects and positive impacts. Methods An online survey (delivered from March to November 2022) was distributed by Alberta Health Services to ...
Susan Zhang   +10 more
wiley   +1 more source

Water depth estimation with ERTS-1 imagery [PDF]

open access: yes
Contrast-enhanced 9.5 inch ERTS-1 images were produced for an investigation on ocean water color. Such images lend themselves to water depth estimation by photographic and electronic density contouring.
Ross, D. S.
core   +1 more source

Physician‐Scientist Pipeline for Pediatric Rheumatology: The Current Landscape and Future Perspectives

open access: yesArthritis Care &Research, EarlyView.
Over the past 50 years, the science of pediatric rheumatology has grown exponentially due to an expansion in the understanding of complex rheumatic conditions and a surge in novel targeted therapeutics. Physician‐scientists in the field of pediatric rheumatology have played major roles in these advancements that have improved the care of children ...
Ekemini A. Ogbu   +2 more
wiley   +1 more source

Artificial Intelligence‐based Online Symptom Assessment Tools for Systemic Lupus Erythematosus (SLE) diagnosis: Patient Perspectives

open access: yesArthritis Care &Research, Accepted Article.
Objective The objective of this article is to identify perceptions of SLE patients regarding artificial intelligence (AI)‐based online symptom assessment tools, and the potential of these tools to address diagnostic barriers. Methods Adults from our SLE research cohort were invited to participate in 60‐90 minute virtual focus groups concerning their ...
Olivia A. Stein   +7 more
wiley   +1 more source

Depth as Points: Center Point-based Depth Estimation

open access: yesCoRR
The perception of vehicles and pedestrians in urban scenarios is crucial for autonomous driving. This process typically involves complicated data collection, imposes high computational and hardware demands. To address these limitations, we first develop a highly efficient method for generating virtual datasets, which enables the creation of task- and ...
Zhiheng Tu   +5 more
openaire   +2 more sources

Thermoreflectance Detection of Point Defects Resulting from Focused Ion Beam Milling

open access: yesAdvanced Engineering Materials, EarlyView.
Focused ion beam (FIB) milling is a common tool for nanoscale material processing, however irradiation damage, redeposition, and contamination can occur. We use several characterization tools to show FIB‐induced effects beyond 1 mm from the milled area.
Thomas W. Pfeifer   +3 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

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