... for assessing hand joint function, although they require additional equipment and calibration [ 9 ]. Abstract Objective To investigate the association between hand motion tracking features obtained through computer vision from smartphone cameras and disease activity in patients with RA. Methods The PyPI...

... early and accurate detection essential for improving patient outcomes. This paper presents a comprehensive review of significant advancements in early melanoma detection, with a focus on integrating computer vision and deep learning techniques. This study investigates cutting-edge neural networks...

.... By addressing practical challenges and expanding applications, this research provides a replicable framework for urban solar integration, supporting Saudi Vision 2030’s energy diversification and sustainability goals. grid-connected photovoltaic systems energy efficiency energy Independence residential...

... examines UDT integration within Saudi Arabia’s Vision 2030, focusing on optimizing energy consumption, improving smart grid operations, and adopting renewable energy systems. Using a literature review, case studies, and stakeholder consultations, it identifies key opportunities and challenges, including...

... TransUNet than for nnU-Net. Conclusion nnU-Net outperformed two different vision transformer architectures for the segmentation and calculation of function parameters for the LV, LA, and LAA. Fully automatic calculation of cardiac function parameters from CT using deep learning is fast and reliable. Lay...

... results therefore provide direct evidence that MGE transplantation enhances local inhibition after central visual system brain injury. synaptic inhibition interneuron vision traumatic brain injury cell therapy Department of Defense 10.13039/100000005 W81XWH-21-1-0884 CRIM Research Scholar...

... settings. It introduces various effective non-contact measurement techniques, such as stereo vision, optical, and electromagnetic wave measurements, and compares and summarizes the characteristics and applicability of each method. The advantages of different sensing technologies and their applications...

... in traditional perception paradigms. binocular rivalry consciousness perception transition vision Austrian Science Fund 10.13039/501100002428 10.55776/P33322 Austrian Science Fund 10.13039/501100002428 10.55776/P33322 Our conscious experience of the visual input is rich and complex. Viewing even...

...-diagnosis can lead to physicians not detecting a disease early on, which could lead to increased morbidity and mortality. explainable artificial intelligence (XAI) retrieval augmented generation (RAG) computer vision physician-in-the-loop case-based reasoning Abstract Subjective variability in human...

... on our site-for further information please contact [email protected]. Abstract This study assesses the economic and social impacts of the development of the Jeddah Corniche, examining how water infrastructure investments align with Saudi Vision 2030 for sustainable urban growth, economic...

... accessibility across the genome, crucial for gene expression regulating. However, bulk ATAC-seq obscures cellular heterogeneity, while single-cell ATAC-seq suffers from issues such as sparsity and costliness. To this end, we introduce DECA, a sophisticated deep learning model based on vision transformer...

... other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact [email protected]. Artificial intelligence AI Endoscopy Datasets Machine learning computer vision Gastroenterology Data...

[email protected]. Abstract In this paper, an anomaly detection method for transmission lines based on computer vision is proposed. Firstly, the original image is transformed into gray level, then the image quality is optimized by Gamma correction strategy, the line edge information is extracted by Canny algorithm...

... of the White Paper prepared for the UN Ocean Decade Vision 2030, Challenge 1: Understand and Beat Marine Pollution, which aims to understand and map land- and sea-based sources of pollutants and their potential impacts on human health and ocean ecosystems, and to develop solutions to remove or mitigate them...

... study employed data from the 2015-2020 waves of the National Health and Aging Trends Study (N=7,039). Visual difficulty was assessed by questions regarding self-reported near and distance vision and the use of visual aids. Recurrent falls were defined as experiencing a fall more than...

... of increased falls were observed in aged flies prior to death. This automated method effectively quantifies falls in video data without observer bias, providing a robust tool for future studies aimed at understanding causative factors and testing potential interventions. aging computer vision YOLO...

... vision for Cerebral Cortex future development. I will endeavor to shorten the time of rigorous reviewing, to create a reward system for peer-reviewing making the whole process more efficient both for editors/reviewers and authors, and, most importantly, to decrease anxiety, fatigue, and pressure...

... apparency of the trap) in locating sex pheromone-baited traps. Graphical Abstract Graphical Abstract bollworm night vision pheromones moths pests National Institute of Food and Agriculture Biotechnology 2023-33522-40851 North Carolina Biotechnology Center 10.13039/100005562 2020-FLG-3809...

... that standardization institutes acknowledge the differences between various systems and develop separate standards for different systems. The final user group consists of policymakers, who can utilize the prospective systems to nuance their debates on visions for the seaweed sector in Europe by discussing what system...

... issue of Cerebral Cortex, Lorenzi et al. (2025) discuss evidence for an innate sense of object number (numerosity) in the brains of many species, without the need for visual experience. This commentary discusses how numerosity processing can be understood as an innate property of vision...