Zobrazeno 1 - 10
of 23 657
pro vyhledávání: '"Santosh Kumar, A."'
Autor:
Khan, MD Raqib, Negi, Anshul, Kulkarni, Ashutosh, Phutke, Shruti S., Vipparthi, Santosh Kumar, Murala, Subrahmanyam
Quality degradation is observed in underwater images due to the effects of light refraction and absorption by water, leading to issues like color cast, haziness, and limited visibility. This degradation negatively affects the performance of autonomou
Externí odkaz:
http://arxiv.org/abs/2412.01456
Autor:
Chaudhary, Santosh Kumar, Gupta, Nitin
In this paper, we investigate inaccuracy measures based on record values, focusing on the relationship between the distribution of the n-th upper and lower k-record values and the parent distribution. We extend the classical Kerridge inaccuracy measu
Externí odkaz:
http://arxiv.org/abs/2410.17658
Autor:
Radha, Santosh Kumar, Goktas, Oktay
Human learning thrives on the ability to learn from mistakes, adapt through feedback, and refine understanding-processes often missing in static machine learning models. In this work, we introduce Composite Learning Units (CLUs) designed to transform
Externí odkaz:
http://arxiv.org/abs/2410.08037
Iterative human engagement is a common and effective means of leveraging the advanced language processing power of large language models (LLMs). Using well-structured prompts in a conversational manner, human users can effectively influence an LLM to
Externí odkaz:
http://arxiv.org/abs/2409.12618
Deep neural networks (DNNs) offer plenty of challenges in executing efficient computation at edge nodes, primarily due to the huge hardware resource demands. The article proposes HYDRA, hybrid data multiplexing, and runtime layer configurable DNN acc
Externí odkaz:
http://arxiv.org/abs/2409.04976
We show in this letter how a heavy $(\mathcal{O}(TeV))$ invisible $Z'$ gauge boson that will practically be out of reach of the Large Hadron Collider (LHC), can be discovered at the future muon collider. The new force carrier has a relatively stronge
Externí odkaz:
http://arxiv.org/abs/2408.14396
This paper introduces a Scalable Hierarchical Aware Convolutional Neural Network (SHA-CNN) model architecture for Edge AI applications. The proposed hierarchical CNN model is meticulously crafted to strike a balance between computational efficiency a
Externí odkaz:
http://arxiv.org/abs/2407.21370
Memory management is necessary with the increasing number of multi-connected AI devices and data bandwidth issues. For this purpose, high-speed multi-port memory is used. The traditional multi-port memory solutions are hard-bounded to a fixed number
Externí odkaz:
http://arxiv.org/abs/2407.20628
Publikováno v:
28th International Symposium on VLSI Design and Test (VDAT 2024)
This paper presents the Hybrid Overestimating Approximate Adder designed to enhance the performance in processing engines, specifically focused on edge AI applications. A novel Plus One Adder design is proposed as an incremental adder in the RCA chai
Externí odkaz:
http://arxiv.org/abs/2408.00806
Publikováno v:
Kannaujia, Santosh Kumar and Verma, Pradeep Kumar and Verma, Sandeep Kumar and Patel, Dr. Madhu AI-Powered Revolution: Automating Information Management in Libraries., 2024 . In Copyright 2024 © Editors, ICAL 2024, Akal University, Talwandi Sabo, Punjab, India | ISBN: 978-93-92958-97-7 Chapter 38; S. Hasan, S. Kumar, S. Panda, K. N. Khan & G. Samdani (Eds); PP. 291-300; Synergy Books India, N.D., Akal University, Talwandi Sabo, Bathinda-151302, Punjab, INDIA. [Conference paper]
Artificial Intelligence (AI) is revolutionizing library operations by streamlining cataloguing, enhancing search functionalities, and optimizing resource allocation. This paper explores the impact of AI on library operations, focusing on information
Externí odkaz:
http://eprints.rclis.org/45901/