Zobrazeno 1 - 10
of 419
pro vyhledávání: '"Gopi Krishna, P."'
Autor:
Lin, Yi-Chien, Chen, Yuyang, Gobriel, Sameh, Jain, Nilesh, Jha, Gopi Krishna, Prasanna, Viktor
As Graph Neural Networks (GNNs) become popular, libraries like PyTorch-Geometric (PyG) and Deep Graph Library (DGL) are proposed; these libraries have emerged as the de facto standard for implementing GNNs because they provide graph-oriented APIs and
Externí odkaz:
http://arxiv.org/abs/2402.03671
Deep learning-based recommendation systems (e.g., DLRMs) are widely used AI models to provide high-quality personalized recommendations. Training data used for modern recommendation systems commonly includes categorical features taking on tens-of-mil
Externí odkaz:
http://arxiv.org/abs/2305.07205
Autor:
Divya Sree Akuthota, Chintakunta V. Subbarayudu, Sowmya Pallavi Rapuri, Gopi Krishna Bellamkonda, Ravi Prabhu Gottumukkala
Publikováno v:
Medical Journal of Dr. D.Y. Patil Vidyapeeth, Vol 17, Iss 4, Pp 816-823 (2024)
Background: Even though the survival of people living with HIV/AIDS (PLWHA) has improved by ART, their lifestyles and quality of life are affected by several factors like family and community support, and their socio-economic status. Hence, this stud
Externí odkaz:
https://doaj.org/article/6c7fbca2b2c64311a7582412c6ba2796
Autor:
Erabati, Gopi Krishna, Araujo, Helder
Inspired by recent advances in vision transformers for object detection, we propose Li3DeTr, an end-to-end LiDAR based 3D Detection Transformer for autonomous driving, that inputs LiDAR point clouds and regresses 3D bounding boxes. The LiDAR local an
Externí odkaz:
http://arxiv.org/abs/2210.15365
Autor:
Erabati, Gopi Krishna, Araujo, Helder
3D object detection is a significant task for autonomous driving. Recently with the progress of vision transformers, the 2D object detection problem is being treated with the set-to-set loss. Inspired by these approaches on 2D object detection and an
Externí odkaz:
http://arxiv.org/abs/2210.15316
Autor:
Thomas, Anthony, Khaleghi, Behnam, Jha, Gopi Krishna, Dasgupta, Sanjoy, Himayat, Nageen, Iyer, Ravi, Jain, Nilesh, Rosing, Tajana
Hyperdimensional computing (HDC) is a paradigm for data representation and learning originating in computational neuroscience. HDC represents data as high-dimensional, low-precision vectors which can be used for a variety of information processing ta
Externí odkaz:
http://arxiv.org/abs/2209.09868
Publikováno v:
AIP Advances, Vol 14, Iss 8, Pp 085324-085324-18 (2024)
The main finding of this work focuses on the numerical analysis of magnetized Casson hybrid nanofluid flow via porous moving wedge with surface-catalyzed reactions. Thermal radiation and chemical reactions are also investigated as heat and mass trans
Externí odkaz:
https://doaj.org/article/423032e560dc4d028fb11c6df1739fe6
Autor:
Gopi Krishna Erabati, Helder Araujo
Publikováno v:
Intelligent Systems with Applications, Vol 22, Iss , Pp 200361- (2024)
The image-based backbone (feature extraction) networks downsample the feature maps not only to increase the receptive field but also to efficiently detect objects of various scales. The existing feature extraction networks in LiDAR-based 3D object de
Externí odkaz:
https://doaj.org/article/9329712be7af4345a0dd91282fa5a33a
Autor:
Jose Vypana, Nagumothu Kishore Babu, Mahesh Kumar Talari, Karni Vamsi Krishna, Chakravarthula Gopi Krishna, Ateekh Ur Rehman
Publikováno v:
Crystals, Vol 14, Iss 11, p 919 (2024)
This paper deals with the influence of micro-pulsed direct current on microstructure and mechanical properties of gas tungsten arc welding (GTAW) weldments of Ti-6Al-4V (Ti-64). Bead-on-plate GTA welds were made on the samples in the un-pulsed and mi
Externí odkaz:
https://doaj.org/article/feaae118a152418994b026ef2c6e06e7
Autor:
Gopi Krishna Perinbarajan, Bruce Joshua Sinclair, Abdel-Tawab Mossa, Nupur Ohja, Peerzada Gh Jeelani
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25048- (2024)
Biogenically derived silica nanoparticles may serve as a well-defined target vehicle for drug delivery and have a wide range of applications in biomedicine. Silica nanoparticles are an excellent candidate as drug carriers due to their mesoporous stru
Externí odkaz:
https://doaj.org/article/8de06e66e4094031a496e6594605027a