Zobrazeno 1 - 10
of 419 350
pro vyhledávání: '"A Reddy"'
Autor:
A Reddy, S Sharma, A Kumar, J Choi, J Williams, E Hughes, R Knowles, K Bush, AL Solebo, K Falzon, A Connor, J Rahi, V Tadic, E McLoone, R Pilling, P Watts, A Ritchie, V Long, A Dick, H Petrushkin, K Warrior, S Anwar, J Ashworth, E Millar, C Schmoll, N Puvanachandra, J Gonzalez-Martin, S Kellett, E Agorogiannis, A Injarie, A Shafi, A Pradeep, B Muthusamy, J Benzimra, D Pharoah, U O’Colmain
Publikováno v:
BMJ Open Ophthalmology, Vol 8, Iss Suppl 3 (2023)
Externí odkaz:
https://doaj.org/article/87c8dd022c8f402bbf71f6446d6355ea
Autor:
Böhlen, Marc, Sughiarta, Gede, Kurnianingsih, Atiek, Gopaladinne, Srikar Reddy, Shrivastava, Sujay, Gorla, Hemanth Kumar Reddy
This paper describes spatially aware Artificial Intelligence, GeoAI, tailored for small organizations such as NGOs in resource constrained contexts where access to large datasets, expensive compute infrastructure and AI expertise may be restricted. W
Externí odkaz:
http://arxiv.org/abs/2408.17361
Autor:
Gudepu, Venkateswarlu, Chirumamilla, Bhargav, Chintapalli, Venkatarami Reddy, Castoldi, Piero, Valcarenghi, Luca, Tamma, Bheemarjuna Reddy, Kondepu, Koteswararao
Beyond fifth-generation (B5G) networks aim to support high data rates, low-latency applications, and massive machine communications. Artificial Intelligence/Machine Learning (AI/ML) can help to improve B5G network performance and efficiency. However,
Externí odkaz:
http://arxiv.org/abs/2408.14827
Autor:
Nadim, Md, Islam, Taimoor Ul, Reddy, Salil, Zhang, Tianyi, Meng, Zhibo, Afzal, Reshal, Babu, Sarath, Ahmad, Arsalan, Qiao, Daji, Arora, Anish, Zhang, Hongwei
Time synchronization is a critical component in network operation and management, and it is also required by Ultra-Reliable, Low-Latency Communications (URLLC) in next-generation wireless systems such as those of 5G, 6G, and Open RAN. In this context
Externí odkaz:
http://arxiv.org/abs/2410.03583
Transformer-based models have revolutionized the field of natural language processing. To understand why they perform so well and to assess their reliability, several studies have focused on questions such as: Which linguistic properties are encoded
Externí odkaz:
http://arxiv.org/abs/2410.02611
Many real-world problems, such as controlling swarms of drones and urban traffic, naturally lend themselves to modeling as multi-agent reinforcement learning (RL) problems. However, existing multi-agent RL methods often suffer from scalability challe
Externí odkaz:
http://arxiv.org/abs/2410.02516
Autor:
Kazemnejad, Amirhossein, Aghajohari, Milad, Portelance, Eva, Sordoni, Alessandro, Reddy, Siva, Courville, Aaron, Roux, Nicolas Le
Large language models (LLMs) are increasingly applied to complex reasoning tasks that require executing several complex steps before receiving any reward. Properly assigning credit to these steps is essential for enhancing model performance. Proximal
Externí odkaz:
http://arxiv.org/abs/2410.01679
Autor:
Mukhopadhyay, Srijika, Reddy, Badri Ramanjaneya, Dash, Soumya P., Alexandropoulos, George C., Aissa, Sonia
In this paper, we analyze the performance of one- and two-sided amplitude shift keying (ASK) modulations in single-input single-output wireless communication aided by a reconfigurable intelligent surface (RIS). Two scenarios are considered for the ch
Externí odkaz:
http://arxiv.org/abs/2410.01419
Publikováno v:
Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II. Vol. 13035. SPIE, 2024
In this work, we explore the possibility of using synthetically generated data for video-based gesture recognition with large pre-trained models. We consider whether these models have sufficiently robust and expressive representation spaces to enable
Externí odkaz:
http://arxiv.org/abs/2410.02152
The next decade is expected to see a tenfold increase in the number of strong gravitational lenses, driven by new wide-field imaging surveys. To discover these rare objects, efficient automated detection methods need to be developed. In this work, we
Externí odkaz:
http://arxiv.org/abs/2410.01203