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of 772
pro vyhledávání: '"P. Sai Kiran"'
As machine learning gets deployed more and more widely, and model sizes continue to grow, improving computational efficiency during model inference has become a key challenge. In many commonly used model architectures, including Transformers, a signi
Externí odkaz:
http://arxiv.org/abs/2412.00408
Autor:
Pokala, Praveen Kumar, Patibandla, Jaya Sai Kiran, Pandey, Naveen Kumar, Pailla, Balakrishna Reddy
Video foreground segmentation (VFS) is an important computer vision task wherein one aims to segment the objects under motion from the background. Most of the current methods are image-based, i.e., rely only on spatial cues while ignoring motion cues
Externí odkaz:
http://arxiv.org/abs/2402.00918
Autor:
Makhonin, Maxim, Delphan, Anthonin, Song, Kok Wee, Walker, Paul, Isoniemi, Tommi, Claronino, Peter, Orfanakis, Konstantinos, Rajendran, Sai Kiran, Ohadi, Hamid, Heckötter, Julian, Aßmann, Marc, Bayer, Manfred, Tartakovskii, Alexander, Skolnick, Maurice, Kyriienko, Oleksandr, Krizhanovskii, Dmitry
Rydberg excitons (analogues of Rydberg atoms in condensed matter systems) are highly excited bound electron-hole states with large Bohr radii. The interaction between them as well as exciton coupling to light may lead to strong optical nonlinearity,
Externí odkaz:
http://arxiv.org/abs/2401.02868
Autor:
Behera, Swarup Ranjan, Injeti, Krishna Mohan, Patibandla, Jaya Sai Kiran, Pokala, Praveen Kumar, Pailla, Balakrishna Reddy
Audio Question Answering (AQA) constitutes a pivotal task in which machines analyze both audio signals and natural language questions to produce precise natural language answers. The significance of possessing high-quality, diverse, and extensive AQA
Externí odkaz:
http://arxiv.org/abs/2312.17343
The task of Prior Case Retrieval (PCR) in the legal domain is about automatically citing relevant (based on facts and precedence) prior legal cases in a given query case. To further promote research in PCR, in this paper, we propose a new large bench
Externí odkaz:
http://arxiv.org/abs/2307.05260
Publikováno v:
Archives of Mental Health, Vol 25, Iss 2, Pp 169-171 (2024)
Hypertensive encephalopathy is a rare condition which is a clinically and radiologically diagnosed disorder. It usually presents in known hypertensive cases among young- and middle-aged adults. Although it presents with altered consciousness and othe
Externí odkaz:
https://doaj.org/article/3ac25fa55bdf47e397a3824292f8f0c4
Autor:
Modi, Ashutosh, Kalamkar, Prathamesh, Karn, Saurabh, Tiwari, Aman, Joshi, Abhinav, Tanikella, Sai Kiran, Guha, Shouvik Kumar, Malhan, Sachin, Raghavan, Vivek
In populous countries, pending legal cases have been growing exponentially. There is a need for developing NLP-based techniques for processing and automatically understanding legal documents. To promote research in the area of Legal NLP we organized
Externí odkaz:
http://arxiv.org/abs/2304.09548
Autor:
P. Premalatha, N. Shilpa, Sankaran Vijayalakshmi, Alagumariappan Paramasivam, Pavan Sai Kiran Reddy Pittu, S. Kamatchi, Hasheetha Jayashankar, Kudiyarasan Swamynathan
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 9, Iss , Pp 100734- (2024)
In general, ventricular repolarization instability with Premature Activations (PA) plays a significant role in the detection of arrhythmia using an electrocardiogram (ECG) signal. However, clinical detection of this instability is challenging. In thi
Externí odkaz:
https://doaj.org/article/0bdfc49280e84a29ade271feabcdfc5e
Publikováno v:
Case Studies in Construction Materials, Vol 20, Iss , Pp e03000- (2024)
The differential settlement and excessive deflection in expansive subgrade soils lead to low volumetric stability upon moisture imbalance and cause severe damage to highway and airport field pavement surfaces. The present paper attempts to strengthen
Externí odkaz:
https://doaj.org/article/27b4b3dbcad54321b2f43131725c8a93
Autor:
Gorthi, Sai Kiran, Mamidi, Radhika
Computational Paninian Grammar model helps in decoding a natural language expression as a series of modifier-modified relations and therefore facilitates in identifying dependency relations closer to language (context) semantics compared to the usual
Externí odkaz:
http://arxiv.org/abs/2204.04347