Zobrazeno 1 - 10
of 29 546
pro vyhledávání: '"SATISH, P."'
Analog-to-Digital Converters (ADCs) are essential components in modern data acquisition systems. A key design challenge is accommodating high dynamic range (DR) input signals without clipping. Existing solutions, such as oversampling, automatic gain
Externí odkaz:
http://arxiv.org/abs/2412.12724
Solar energy utilization in places like Nepal, is often obstructed by unpredicted environmental factors and existing technological barriers. The challenges encountered often result in fluctuating energy outputs, hindering the transition to greener en
Externí odkaz:
http://arxiv.org/abs/2412.06956
Autor:
Wang, Yizhou, Meinhardt, Tim, Cetintas, Orcun, Yang, Cheng-Yen, Pusegaonkar, Sameer Satish, Missaoui, Benjamin, Biswas, Sujit, Tang, Zheng, Leal-Taixé, Laura
Object perception from multi-view cameras is crucial for intelligent systems, particularly in indoor environments, e.g., warehouses, retail stores, and hospitals. Most traditional multi-target multi-camera (MTMC) detection and tracking methods rely o
Externí odkaz:
http://arxiv.org/abs/2412.00692
Displacement plays a crucial role in structural health monitoring (SHM) and damage detection of structural systems subjected to dynamic loads. However, due to the inconvenience associated with the direct measurement of displacement during dynamic loa
Externí odkaz:
http://arxiv.org/abs/2411.19282
The cervix is the narrow end of the uterus that connects to the vagina in the female reproductive system. Abnormal cell growth in the squamous epithelial lining of the cervix leads to cervical cancer in females. A Pap smear is a diagnostic procedure
Externí odkaz:
http://arxiv.org/abs/2411.13535
Autor:
Pal, Ashish, Nagarajaiah, Satish
Machine learning for scientific discovery is increasingly becoming popular because of its ability to extract and recognize the nonlinear characteristics from the data. The black-box nature of deep learning methods poses difficulties in interpreting t
Externí odkaz:
http://arxiv.org/abs/2411.11801
The holy grail of machine learning is to enable Continual Federated Learning (CFL) to enhance the efficiency, privacy, and scalability of AI systems while learning from streaming data. The primary challenge of a CFL system is to overcome global catas
Externí odkaz:
http://arxiv.org/abs/2411.07959
Autor:
Gotavade, Tejas Satish
This research introduces an innovative artificial intelligence-driven educational concept designed to optimize self-directed learning through personalized course delivery and automated teaching assistance. The system leverages fine-tuned AI models to
Externí odkaz:
http://arxiv.org/abs/2411.07300
Autor:
Desai, Akshar Prabhu, Mallya, Ganesh Satish, Luqman, Mohammad, Ravi, Tejasvi, Kota, Nithya, Yadav, Pranjul
Gen-AI techniques are able to improve understanding of context and nuances in language modeling, translation between languages, handle large volumes of data, provide fast, low-latency responses and can be fine-tuned for various tasks and domains. In
Externí odkaz:
http://arxiv.org/abs/2410.15653
Autor:
Bordin, Matteo, Lacava, Andrea, Polese, Michele, Satish, Sai, Nittoor, Manoj AnanthaSwamy, Sivaraj, Rajarajan, Cuomo, Francesca, Melodia, Tommaso
Next-generation wireless systems, already widely deployed, are expected to become even more prevalent in the future, representing challenges in both environmental and economic terms. This paper focuses on improving the energy efficiency of intelligen
Externí odkaz:
http://arxiv.org/abs/2410.14021