Results 61 to 70 of about 2,110,679 (304)

Building Extraction of Aerial Images by a Global and Multi-Scale Encoder-Decoder Network

open access: yesRemote Sensing, 2020
Semantic segmentation is an important and challenging task in the aerial image community since it can extract the target level information for understanding the aerial image.
Jingjing Ma   +5 more
doaj   +1 more source

Brain-Inspired Remote Sensing Foundation Models and Open Problems: A Comprehensive Survey

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
The foundation model (FM) has garnered significant attention for its remarkable transfer performance in downstream tasks. Typically, it undergoes task-agnostic pretraining on a large dataset and can be efficiently adapted to various downstream ...
Licheng Jiao   +23 more
doaj   +1 more source

Sensing and Intelligent Perception in Robotic Applications [PDF]

open access: yesJournal of Sensors, 2016
1Research Center of Robotics and Micro System, Soochow University, Soochow, Jiangsu 215000, China 2School of Engineering-Structural Mechanics, Aarhus University, 8000 Aarhus C, Denmark 3Department of Mechanical and Biomedical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong 4School of Aerospace Engineering, Georgia
Changhai Ru   +3 more
openaire   +1 more source

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

open access: yesArthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein   +7 more
wiley   +1 more source

Factors Associated With Fibromyalgia Diagnosis Among People Meeting Criteria: Results From UK Biobank

open access: yesArthritis Care &Research, EarlyView.
Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim   +2 more
wiley   +1 more source

Visual motion perception by intelligent systems [PDF]

open access: yes, 1979
The focus of this study is to develop an understanding of the state of the art in visual motion perception by intelligent systems. We examine diverse theoretical and empirical approaches to visual motion analysis, perception, and understanding. We survey
Scacchi, Walt
core   +1 more source

A Novel Multi-Model Decision Fusion Network for Object Detection in Remote Sensing Images

open access: yesRemote Sensing, 2019
Object detection in optical remote sensing images is still a challenging task because of the complexity of the images. The diversity and complexity of geospatial object appearance and the insufficient understanding of geospatial object spatial structure ...
Wenping Ma   +5 more
doaj   +1 more source

Nonlinear Projective Dictionary Pair Learning for PolSAR Image Classification

open access: yesIEEE Access, 2021
Polarimetric synthetic aperture radar (PolSAR) image classification has become a hot research topic in recent years. Sparse representation plays an important role in image processing.
Yanqiao Chen   +5 more
doaj   +1 more source

Human perception of art in the age of artificial intelligence

open access: yesFrontiers in Psychology, 2023
Recent advancement in Artificial Intelligence (AI) has rendered image-synthesis models capable of producing complex artworks that appear nearly indistinguishable from human-made works. Here we present a quantitative assessment of human perception and preference for art generated by OpenAI’s DALL·E 2, a leading AI tool for art creation.
Jules van Hees   +5 more
openaire   +3 more sources

Generative AI Utilization and Perspectives Among Reproductive‐Age Women with Systemic Autoimmune and Rheumatic Diseases

open access: yesArthritis Care &Research, Accepted Article.
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif   +5 more
wiley   +1 more source

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