Zobrazeno 1 - 10
of 19 636
pro vyhledávání: '"Praveen Kumar, A."'
Autor:
Sedlak, Boris, Pujol, Victor Casamayor, Morichetta, Andrea, Donta, Praveen Kumar, Dustdar, Schahram
The current scenario of IoT is witnessing a constant increase on the volume of data, which is generated in constant stream, calling for novel architectural and logical solutions for processing it. Moving the data handling towards the edge of the comp
Externí odkaz:
http://arxiv.org/abs/2409.17937
Autor:
Jangra, Divya, De, Binoy Krishna, Sharma, Pragati, Chakraborty, Koushik, Parate, Shubham, Yogi, Arvind Kumar, Mittal, Ranjan, Gupta, Mayanak K, Nukala, Pavan, Velpula, Praveen Kumar, Sathe, Vasant G.
The anisotropic light-matter interactions in 2D materials have garnered significant attention for their potential to develop futuristic polarization-based optoelectronic devices, such as photodetectors and photo-actuators. In this study, we investiga
Externí odkaz:
http://arxiv.org/abs/2409.17570
Advanced wearable sensor devices have enabled the recording of vast amounts of movement data from individuals regarding their physical activities. This data offers valuable insights that enhance our understanding of how physical activities contribute
Externí odkaz:
http://arxiv.org/abs/2408.10191
Depth estimation is a critical topic for robotics and vision-related tasks. In monocular depth estimation, in comparison with supervised learning that requires expensive ground truth labeling, self-supervised methods possess great potential due to no
Externí odkaz:
http://arxiv.org/abs/2408.01565
Autor:
Verma, Aditya Raj, Singh, Gagandeep, Meghwal, Karnim, Ramji, Banawath, Dadheech, Praveen Kumar
This research combines MediaPipe and CNNs for the efficient and accurate interpretation of ASL dataset for the real-time detection of sign language. The system presented here captures and processes hands' gestures in real time. the intended purpose w
Externí odkaz:
http://arxiv.org/abs/2406.03729
Autor:
Chandaliya, Praveen Kumar, Raja, Kiran, Ramachandra, Raghavendra, Akhtar, Zahid, Busch, Christoph
Publikováno v:
Automatic Face and Gesture Recognition 2024
Numerous studies have shown that existing Face Recognition Systems (FRS), including commercial ones, often exhibit biases toward certain ethnicities due to under-represented data. In this work, we explore ethnicity alteration and skin tone modificati
Externí odkaz:
http://arxiv.org/abs/2405.01273
In this paper, we address the problem of enclosing an arbitrarily moving target in three dimensions by a single pursuer, which is an unmanned aerial vehicle (UAV), for maximum coverage while also ensuring the pursuer's safety by preventing collisions
Externí odkaz:
http://arxiv.org/abs/2404.16312
This article introduces Follow-Me AI, a concept designed to enhance user interactions with smart environments, optimize energy use, and provide better control over data captured by these environments. Through AI agents that accompany users, Follow-Me
Externí odkaz:
http://arxiv.org/abs/2404.12486
This paper introduces an approach to address the target enclosing problem using non-holonomic multiagent systems, where agents self-organize on the enclosing shape around a fixed target. In our approach, agents independently move toward the desired e
Externí odkaz:
http://arxiv.org/abs/2404.04497
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