Zobrazeno 1 - 10
of 110 165
pro vyhledávání: '"A., Asif"'
Time-series foundation models have the ability to run inference, mainly forecasting, on any type of time series data, thanks to the informative representations comprising waveform features. Wearable sensing data, on the other hand, contain more varia
Externí odkaz:
http://arxiv.org/abs/2412.09758
The Internet of Things (IoT) has transformed healthcare, facilitating remote patient monitoring, enhanced medication adherence, and chronic disease management. However, this interconnected ecosystem faces significant vulnerabilities with the advent o
Externí odkaz:
http://arxiv.org/abs/2412.05904
Autor:
Omi, Asif Iftekhar, Farina, Emma, Jiang, Anyu, Khalifa, Adam, Srinivasan, Shriya, Chatterjee, Baibhab
Body-coupled powering (BCP) is an innovative wireless power transfer (WPT) technique, recently explored for its potential to deliver power to cutting-edge biomedical implants such as nerve and muscle stimulators. This paper demonstrates the efficient
Externí odkaz:
http://arxiv.org/abs/2412.03488
Considering radio-interferometric observations, we present a fast and efficient estimator to compute the binned angular bispectrum (ABS) from gridded visibility data. The estimator makes use of Fast Fourier Transform (FFT) techniques to compute the b
Externí odkaz:
http://arxiv.org/abs/2412.02246
Autor:
Billah, Syed Mohammed Mostaque, Subarna, Ateya Ahmed, Sarna, Sudipta Nandi, Wasit, Ahmad Shawkat, Fariha, Anika, Sushmit, Asif, Sadeque, Arig Yousuf
Around seven million individuals in India, Bangladesh, Bhutan, and Nepal speak Santali, positioning it as nearly the third most commonly used Austroasiatic language. Despite its prominence among the Austroasiatic language family's Munda subfamily, Sa
Externí odkaz:
http://arxiv.org/abs/2411.19726
Autor:
Joshi, Ratnesh Kumar, Priya, Priyanshu, Desai, Vishesh, Dudhate, Saurav, Senapati, Siddhant, Ekbal, Asif, Ramnani, Roshni, Maitra, Anutosh, Sengupta, Shubhashis
Given the advancements in conversational artificial intelligence, the evaluation and assessment of Large Language Models (LLMs) play a crucial role in ensuring optimal performance across various conversational tasks. In this paper, we present a compr
Externí odkaz:
http://arxiv.org/abs/2411.17204
Autor:
Haider, Md. Asif, Mostofa, Ayesha Binte, Mosaddek, Sk. Sabit Bin, Iqbal, Anindya, Ahmed, Toufique
Generating accurate code review comments remains a significant challenge due to the inherently diverse and non-unique nature of the task output. Large language models pretrained on both programming and natural language data tend to perform well in co
Externí odkaz:
http://arxiv.org/abs/2411.10129
Autor:
Kapil, Prashant, Ekbal, Asif
Hate speech, offensive language, aggression, racism, sexism, and other abusive language are common phenomena in social media. There is a need for Artificial Intelligence(AI)based intervention which can filter hate content at scale. Most existing hate
Externí odkaz:
http://arxiv.org/abs/2411.06855
This study explores the potential of the Ping 360 sonar device, primarily used for navigation, in detecting complex underwater obstacles. The key motivation behind this research is the device's affordability and open-source nature, offering a cost-ef
Externí odkaz:
http://arxiv.org/abs/2411.05863
Publikováno v:
Journal of Engineering Advancements Vol. 03(01) 2022, pp 001-005
One of the deadliest pandemics is now happening in the current world due to COVID-19. This contagious virus is spreading like wildfire around the whole world. To minimize the spreading of this virus, World Health Organization (WHO) has made protocols
Externí odkaz:
http://arxiv.org/abs/2411.05312