Zobrazeno 1 - 10
of 2 430
pro vyhledávání: '"Venkatakrishnan P"'
Autor:
Duba-Sullivan, Haley, Rahman, Obaidullah, Venkatakrishnan, Singanallur, Ziabari, Amirkoushyar
X-ray computed tomography (XCT) is a key tool in non-destructive evaluation of additively manufactured (AM) parts, allowing for internal inspection and defect detection. Despite its widespread use, obtaining high-resolution CT scans can be extremely
Externí odkaz:
http://arxiv.org/abs/2412.04525
Autor:
Chowdhury, Mohammad Samin Nur, Yang, Diyu, Tang, Shimin, Venkatakrishnan, Singanallur V., Needham, Andrew W., Bilheux, Hassina Z., Buzzard, Gregery T., Bouman, Charles A.
Hyperspectral neutron computed tomography enables 3D non-destructive imaging of the spectral characteristics of materials. In traditional hyperspectral reconstruction, the data for each neutron wavelength bin is reconstructed separately. This per-bin
Externí odkaz:
http://arxiv.org/abs/2411.13557
Autor:
Chowdhury, Mohammad Samin Nur, Yang, Diyu, Tang, Shimin, Venkatakrishnan, Singanallur V., Bilheux, Hassina Z., Buzzard, Gregery T., Bouman, Charles A.
Hyperspectral neutron computed tomography is a tomographic imaging technique in which thousands of wavelength-specific neutron radiographs are typically measured for each tomographic view. In conventional hyperspectral reconstruction, data from each
Externí odkaz:
http://arxiv.org/abs/2410.22500
In the supervised classification setting, during inference, deep networks typically make multiple predictions. For a pair of such predictions (that are in the top-k predictions), two distinct possibilities might occur. On the one hand, each of the tw
Externí odkaz:
http://arxiv.org/abs/2410.19479
Autor:
Lin, Jingsong, Venkatakrishnan, Singanallur, Buzzard, Gregery, Ziabari, Amir Koushyar, Bouman, Charles
Industrial cone-beam X-ray computed tomography (CT) scans of additively manufactured components produce a 3D reconstruction from projection measurements acquired at multiple predetermined rotation angles of the component about a single axis. Typicall
Externí odkaz:
http://arxiv.org/abs/2407.12963
Maximal extractable value (MEV) in which block proposers unethically gain profits by manipulating the order in which transactions are included within a block, is a key challenge facing blockchains such as Ethereum today. Left unchecked, MEV can lead
Externí odkaz:
http://arxiv.org/abs/2405.09465
Data sharding$\unicode{x2013}$in which block data is sharded without sharding compute$\unicode{x2013}$is at the present the favored approach for scaling Ethereum and other popular blockchains. A key challenge toward implementing data sharding is veri
Externí odkaz:
http://arxiv.org/abs/2402.16201
Autor:
AlOmar, Eman Abdullah, Venkatakrishnan, Anushkrishna, Mkaouer, Mohamed Wiem, Newman, Christian D., Ouni, Ali
Large Language Models (LLMs), like ChatGPT, have gained widespread popularity and usage in various software engineering tasks, including refactoring, testing, code review, and program comprehension. Despite recent studies delving into refactoring doc
Externí odkaz:
http://arxiv.org/abs/2402.06013
Modern attacks against enterprises often have multiple targets inside the enterprise network. Due to the large size of these networks and increasingly stealthy attacks, attacker activities spanning multiple hosts are extremely difficult to correlate
Externí odkaz:
http://arxiv.org/abs/2312.09321
The emergence of blockchain technology has fostered the development of numerous decentralized applications (dapps) in recent years Pub/sub (publish/subscribe) systems play a crucial role by associating messages with specific topics and propagating th
Externí odkaz:
http://arxiv.org/abs/2312.06800