Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sarker, Arup Kumar"'
Autor:
Sarker, Arup Kumar, Alsaadi, Aymen, Perera, Niranda, Staylor, Mills, von Laszewski, Gregor, Turilli, Matteo, Kilic, Ozgur Ozan, Titov, Mikhail, Merzky, Andre, Jha, Shantenu, Fox, Geoffrey
Managing and preparing complex data for deep learning, a prevalent approach in large-scale data science can be challenging. Data transfer for model training also presents difficulties, impacting scientific fields like genomics, climate modeling, and
Externí odkaz:
http://arxiv.org/abs/2403.15721
Autor:
Perera, Niranda, Sarker, Arup Kumar, Staylor, Mills, von Laszewski, Gregor, Shan, Kaiying, Kamburugamuve, Supun, Widanage, Chathura, Abeykoon, Vibhatha, Kanewela, Thejaka Amila, Fox, Geoffrey
The Data Science domain has expanded monumentally in both research and industry communities during the past decade, predominantly owing to the Big Data revolution. Artificial Intelligence (AI) and Machine Learning (ML) are bringing more complexities
Externí odkaz:
http://arxiv.org/abs/2307.01394
3D vision with real-time LiDAR-based point cloud data became a vital part of autonomous system research, especially perception and prediction modules use for object classification, segmentation, and detection. Despite their success, point cloud-based
Externí odkaz:
http://arxiv.org/abs/2301.11806
With the significant development of the Internet of Things and low-cost cloud services, the sensory and data processing requirements of IoT systems are continually going up. TrustZone is a hardware-protected Trusted Execution Environment (TEE) for AR
Externí odkaz:
http://arxiv.org/abs/2301.04591