Zobrazeno 1 - 10
of 445 902
pro vyhledávání: '"On Amir"'
This study introduces a dataset consisting of approximately 9,000 images of mechanical mechanisms and their corresponding descriptions, aimed at supporting research in mechanism design. The dataset consists of a diverse collection of 2D and 3D sketch
Externí odkaz:
http://arxiv.org/abs/2409.03763
Autor:
Wang, Ziyu, Kanduri, Anil, Aqajari, Seyed Amir Hossein, Jafarlou, Salar, Mousavi, Sanaz R., Liljeberg, Pasi, Malik, Shaista, Rahmani, Amir M.
While ECG data is crucial for diagnosing and monitoring heart conditions, it also contains unique biometric information that poses significant privacy risks. Existing ECG re-identification studies rely on exhaustive analysis of numerous deep learning
Externí odkaz:
http://arxiv.org/abs/2408.10228
Autor:
Kerem Shuval, David Leonard, Laura F. DeFina, Carolyn E. Barlow, Jeffrey Drope, On Amir, Ayelet Gneezy, Shay Tzafrir, Karen G. Chartier, Mahmoud Qadan
Publikováno v:
Preventive Medicine Reports, Vol 30, Iss , Pp 102065- (2022)
This study examined the relation between cardiorespiratory fitness (fitness) and depression symptoms prior to and during COVID-19 among adults seeking preventive medical care. Participants consisted of 967 patients attending the Cooper Clinic (Dallas
Externí odkaz:
https://doaj.org/article/80ad6ebfb70749109f3466090ebc7fa1
Deformable image registration is crucial for aligning medical images in a non-linear fashion across different modalities, allowing for precise spatial correspondence between varying anatomical structures. This paper presents NestedMorph, a novel netw
Externí odkaz:
http://arxiv.org/abs/2410.02550
Large Language Models (LLMs), known for their versatility in textual data, are increasingly being explored for their potential to enhance medical image segmentation, a crucial task for accurate diagnostic imaging. This study explores enhancing Vision
Externí odkaz:
http://arxiv.org/abs/2410.02458
Autor:
Tashakori, Arvin, Jiang, Zenan, Servati, Amir, Soltanian, Saeid, Narayana, Harishkumar, Le, Katherine, Nakayama, Caroline, Yang, Chieh-ling, Wang, Z. Jane, Eng, Janice J., Servati, Peyman
Publikováno v:
Nature Machine Intelligence 6 (2024) 106-118
Accurate real-time tracking of dexterous hand movements and interactions has numerous applications in human-computer interaction, metaverse, robotics, and tele-health. Capturing realistic hand movements is challenging because of the large number of a
Externí odkaz:
http://arxiv.org/abs/2410.02221
Autor:
Shahidzadeh, Amir-Hossein, Caddeo, Gabriele, Alapati, Koushik, Natale, Lorenzo, Fermüller, Cornelia, Aloimonos, Yiannis
In this paper, we tackle the problem of estimating 3D contact forces using vision-based tactile sensors. In particular, our goal is to estimate contact forces over a large range (up to 15 N) on any objects while generalizing across different vision-b
Externí odkaz:
http://arxiv.org/abs/2410.02048
Current virtual reality (VR) headsets encounter a trade-off between high processing power and affordability. Consequently, offloading 3D rendering to remote servers helps reduce costs, battery usage, and headset weight. Maintaining network latency be
Externí odkaz:
http://arxiv.org/abs/2410.01898
Autor:
Venkatesh, Ashwin Prasad Shivarpatna, Sunil, Rose, Sabu, Samkutty, Mir, Amir M., Reis, Sofia, Bodden, Eric
Large Language Models (LLMs) are increasingly being explored for their potential in software engineering, particularly in static analysis tasks. In this study, we investigate the potential of current LLMs to enhance call-graph analysis and type infer
Externí odkaz:
http://arxiv.org/abs/2410.00603
Autor:
Omeradzic, Amir, Beyer, Hans-Georg
Three state-of-the-art adaptive population control strategies (PCS) are theoretically and empirically investigated for a multi-recombinative, cumulative step-size adaptation Evolution Strategy $(\mu/\mu_I, \lambda)$-CSA-ES. First, scaling properties
Externí odkaz:
http://arxiv.org/abs/2410.00595