Zobrazeno 1 - 10
of 2 493
pro vyhledávání: '"A. Vashisth"'
Multi-Robot Informative Path Planning for Efficient Target Mapping using Deep Reinforcement Learning
Autonomous robots are being employed in several mapping and data collection tasks due to their efficiency and low labor costs. In these tasks, the robots are required to map targets-of-interest in an unknown environment while constrained to a given r
Externí odkaz:
http://arxiv.org/abs/2409.16967
The thermal conductivity of covalent organic frameworks (COFs), an emerging class of nanoporous polymeric materials, is crucial for many applications, yet the link between their structure and thermal properties is not well understood. From a dataset
Externí odkaz:
http://arxiv.org/abs/2409.06457
We analyze the stability of an inverse problem for determining the time-dependent matrix potential appearing in the Dirichlet initial-boundary value problem for the wave equation in an unbounded cylindrical waveguide. The observation is given by the
Externí odkaz:
http://arxiv.org/abs/2409.01913
Autor:
Chen, Jian, Tiwari, Vashisth, Sadhukhan, Ranajoy, Chen, Zhuoming, Shi, Jinyuan, Yen, Ian En-Hsu, Chen, Beidi
Large Language Models (LLMs) have become more prevalent in long-context applications such as interactive chatbots, document analysis, and agent workflows, but it is challenging to serve long-context requests with low latency and high throughput. Spec
Externí odkaz:
http://arxiv.org/abs/2408.11049
The inversion of DC resistivity data is a widely employed method for near-surface characterization. Recently, deep learning-based inversion techniques have garnered significant attention due to their capability to elucidate intricate non-linear relat
Externí odkaz:
http://arxiv.org/abs/2408.02420
Joint inversion of geophysical datasets is instrumental in subsurface characterization and has garnered significant popularity, leveraging information from multiple geophysical methods. In this study, we implemented the joint inversion of DC resistiv
Externí odkaz:
http://arxiv.org/abs/2408.02414
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W6, Pp 263-267 (2019)
Crop yield estimation before harvest is required for marketing, pricing, storage, import, export etc. Productivity of cropping systems under various weather, management and policy scenarios can be predicted successfully by simulation models. Due to i
Externí odkaz:
https://doaj.org/article/9bd069e21054447b8d8e7460ca068d6f
This article studies the inverse problem of recovering a vector field supported in $\mathbb{D}_R$, the disk of radius $R$ centered at the origin, through a set of generalized broken ray/V-line transforms, namely longitudinal and transverse V-line tra
Externí odkaz:
http://arxiv.org/abs/2404.12479
Autor:
Thakur, Ayush, Vashisth, Rashmi
This paper presents a comprehensive study on the unified module for accelerating stable-diffusion processes, specifically focusing on the lcm-lora module. Stable-diffusion processes play a crucial role in various scientific and engineering domains, a
Externí odkaz:
http://arxiv.org/abs/2403.16024
Autor:
Thakur, Ayush, Vashisth, Rashmi
This paper presents Loops On Retrieval Augmented Generation (LoRAG), a new framework designed to enhance the quality of retrieval-augmented text generation through the incorporation of an iterative loop mechanism. The architecture integrates a genera
Externí odkaz:
http://arxiv.org/abs/2403.15450