Zobrazeno 1 - 10
of 8 997
pro vyhledávání: '"Jayanth A"'
Publikováno v:
Neural Regeneration Research, Vol 17, Iss 1, Pp 38-44 (2022)
Parkinson’s disease is the most common movement disorder worldwide, affecting over 6 million people. It is an age-related disease, occurring in 1% of people over the age of 60, and 3% of the population over 80 years. The disease is characterized by
Externí odkaz:
https://doaj.org/article/fd3a8dcb9f2c4d55b8fe84face25e5bd
Score distillation of 2D diffusion models has proven to be a powerful mechanism to guide 3D optimization, for example enabling text-based 3D generation or single-view reconstruction. A common limitation of existing score distillation formulations, ho
Externí odkaz:
http://arxiv.org/abs/2412.06780
Autor:
Rani, Anju, Mongia, Vardaan, Parvatikar, Parvatesh, Gharate, Rutuj, Sharma, Tanya, Ramakrishnan, Jayanth, Chandravanshi, Pooja, Singh, R. P.
The BB84 quantum key distribution protocol set the foundation for achieving secure quantum communication. Since its inception, significant advancements have aimed to overcome experimental challenges and enhance security. In this paper, we report the
Externí odkaz:
http://arxiv.org/abs/2412.02944
Edge computing's growing prominence, due to its ability to reduce communication latency and enable real-time processing, is promoting the rise of high-performance, heterogeneous System-on-Chip solutions. While current approaches often involve scaling
Externí odkaz:
http://arxiv.org/abs/2409.14803
Autor:
Xian, Xun, Wang, Ganghua, Bi, Xuan, Srinivasa, Jayanth, Kundu, Ashish, Fleming, Charles, Hong, Mingyi, Ding, Jie
Retrieval-Augmented Generation (RAG) has been empirically shown to enhance the performance of large language models (LLMs) in knowledge-intensive domains such as healthcare, finance, and legal contexts. Given a query, RAG retrieves relevant documents
Externí odkaz:
http://arxiv.org/abs/2409.17275
Autor:
Jayanth, Royina Karegoudra, Xu, Yinshuang, Wang, Ziyun, Chatzipantazis, Evangelos, Gehrig, Daniel, Daniilidis, Kostas
Neural networks are seeing rapid adoption in purely inertial odometry, where accelerometer and gyroscope measurements from commodity inertial measurement units (IMU) are used to regress displacements and associated uncertainties. They can learn infor
Externí odkaz:
http://arxiv.org/abs/2408.06321
Questions of `how best to acquire data' are essential to modeling and prediction in the natural and social sciences, engineering applications, and beyond. Optimal experimental design (OED) formalizes these questions and creates computational methods
Externí odkaz:
http://arxiv.org/abs/2407.16212
Skin diseases affect over a third of the global population, yet their impact is often underestimated. Automating skin disease classification to assist doctors with their prognosis might be difficult. Nevertheless, due to efficient feature extraction
Externí odkaz:
http://arxiv.org/abs/2407.14757
Autor:
Ranganathan, Vidhyapriya, Udaiyar, Celshiya, Jayanth, Jaisree, P V, Meghaa, B, Srija, S, Uthra
Brain tumor is a life-threatening problem and hampers the normal functioning of the human body. The average five-year relative survival rate for malignant brain tumors is 35.6 percent. For proper diagnosis and efficient treatment planning, it is nece
Externí odkaz:
http://arxiv.org/abs/2407.10630
Factored Markov Decision Processes (fMDPs) are a class of Markov Decision Processes (MDPs) in which the states (and actions) can be factored into a set of state (and action) variables. The state space, action space and reward function of a fMDP can b
Externí odkaz:
http://arxiv.org/abs/2407.07310