Zobrazeno 1 - 10
of 50 309
pro vyhledávání: '"A Vyas"'
Autor:
Vyas, Vikas, Xu, Zheyuan
With the increasing presence of autonomous SAE level 3 and level 4, which incorporate artificial intelligence software, along with the complex technical challenges they present, it is essential to maintain a high level of functional safety and robust
Externí odkaz:
http://arxiv.org/abs/2412.08862
Autor:
Vyas, Vedant, Schuck, Martin, Dahanaggamaarachchi, Dinushka O., Zhou, Siqi, Schoellig, Angela P.
Catalyzed by advancements in hardware and software, drone performances are increasingly making their mark in the entertainment industry. However, designing smooth and safe choreographies for drone swarms is complex and often requires expert domain kn
Externí odkaz:
http://arxiv.org/abs/2412.08428
Autor:
Vyas, Vikas, Shetiya, Sneha Sudhir
Electric Power Steering (EPS) systems utilize electric motors to aid users in steering their vehicles, which provide additional precise control and reduced energy consumption compared to traditional hydraulic systems. EPS technology provides safety,c
Externí odkaz:
http://arxiv.org/abs/2412.08133
Transforming mathematical expressions into LaTeX poses a significant challenge. In this paper, we examine the application of advanced transformer-based architectures to address the task of converting handwritten or digital mathematical expression ima
Externí odkaz:
http://arxiv.org/abs/2412.03853
This study explores the feasibility of utilizing quantum error correction (QEC) to generate and store logical Bell states in heralded quantum entanglement protocols, crucial for quantum repeater networks. Two novel lattice surgery-based protocols (lo
Externí odkaz:
http://arxiv.org/abs/2412.01434
Edge inference techniques partition and distribute Deep Neural Network (DNN) inference tasks among multiple edge nodes for low latency inference, without considering the core-level heterogeneity of edge nodes. Further, default DNN inference framework
Externí odkaz:
http://arxiv.org/abs/2411.16086
This paper describes how to proficiently prevent software defects in autonomous vehicles, discover and correct defects if they are encountered, and create a higher level of assurance in the software product development phase. It also describes how to
Externí odkaz:
http://arxiv.org/abs/2411.13614
While scaling laws provide a reliable methodology for predicting train loss across compute scales for a single data distribution, less is known about how these predictions should change as we change the distribution. In this paper, we derive a strate
Externí odkaz:
http://arxiv.org/abs/2411.12925
This paper explains how traditional centralized architectures are transitioning to distributed zonal approaches to address challenges in scalability, reliability, performance, and cost-effectiveness. The role of edge computing and neural networks in
Externí odkaz:
http://arxiv.org/abs/2412.01840
Autor:
Vyas, Javal, Mercangöz, Mehmet
As chemical plants evolve towards full autonomy, the need for effective fault handling and control in dynamic, unpredictable environments becomes increasingly critical. This paper proposes an innovative approach to industrial automation, introducing
Externí odkaz:
http://arxiv.org/abs/2411.05904