Zobrazeno 1 - 10
of 3 424
pro vyhledávání: '"Ali, SK"'
Considering radio-interferometric observations, we present a fast and efficient estimator to compute the binned angular bispectrum (ABS) from gridded visibility data. The estimator makes use of Fast Fourier Transform (FFT) techniques to compute the b
Externí odkaz:
http://arxiv.org/abs/2412.02246
Autor:
Sinha, Sankalp, Khan, Mohammad Sadil, Usama, Muhammad, Sam, Shino, Stricker, Didier, Ali, Sk Aziz, Afzal, Muhammad Zeshan
Generating high-fidelity 3D content from text prompts remains a significant challenge in computer vision due to the limited size, diversity, and annotation depth of the existing datasets. To address this, we introduce MARVEL-40M+, an extensive datase
Externí odkaz:
http://arxiv.org/abs/2411.17945
Autor:
Khan, Mohammad Sadil, Sinha, Sankalp, Sheikh, Talha Uddin, Stricker, Didier, Ali, Sk Aziz, Afzal, Muhammad Zeshan
Prototyping complex computer-aided design (CAD) models in modern softwares can be very time-consuming. This is due to the lack of intelligent systems that can quickly generate simpler intermediate parts. We propose Text2CAD, the first AI framework fo
Externí odkaz:
http://arxiv.org/abs/2409.17106
In machining process, 3D reverse engineering of the mechanical system is an integral, highly important, and yet time consuming step to obtain parametric CAD models from 3D scans. Therefore, deep learning-based Scan-to-CAD modeling can offer designers
Externí odkaz:
http://arxiv.org/abs/2409.14087
Autor:
Mishra, Arnab, Murmu, Chandra Shekhar, Datta, Kanan K., Choudhuri, Samir, Majumdar, Suman, Nasreen, Iffat, Ali, Sk. Saiyad
Measuring the properties of the intergalactic medium (IGM) and sources during the Epoch of Reionization (EoR) is of immense importance. We explore the prospects of probing the IGM and sources through redshifted 21-cm observations of individual ionize
Externí odkaz:
http://arxiv.org/abs/2408.01681
Training state-of-the-art (SOTA) deep learning models requires a large amount of data. The visual information present in the training data can be misused, which creates a huge privacy concern. One of the prominent solutions for this issue is perceptu
Externí odkaz:
http://arxiv.org/abs/2407.06570
Autor:
Padhi, Sudev Kumar, Ali, Sk. Subidh
Recent developments in Deep Neural Network (DNN) based watermarking techniques have shown remarkable performance. The state-of-the-art DNN-based techniques not only surpass the robustness of classical watermarking techniques but also show their robus
Externí odkaz:
http://arxiv.org/abs/2407.06552
The landscape of fake media creation changed with the introduction of Generative Adversarial Networks (GAN s). Fake media creation has been on the rise with the rapid advances in generation technology, leading to new challenges in Detecting fake medi
Externí odkaz:
http://arxiv.org/abs/2406.18278
Autor:
Ali, Sk M., Gupta, D., Kundalia, K., Maity, S., Saha, Swapan K, Tengblad, O., Ovejas, J. D., Perea, A., Martel, I., Cederkall, J., Park, J., Moro, A. M.
Publikováno v:
Phys. Lett. B 853 (2024) 138673
The measurement of the $^7$Be($d$,$^3$He)$^6$Li* transfer cross section at 5 MeV/u is carried out. The population of the 2.186 MeV excited state of $^6$Li in this reaction channel is observed for the first time. The experimental angular distributions
Externí odkaz:
http://arxiv.org/abs/2405.02892
Autor:
Elahi, Khandakar Md Asif, Bharadwaj, Somnath, Pal, Srijita, Ghosh, Abhik, Ali, Sk. Saiyad, Choudhuri, Samir, Chakraborty, Arnab, Datta, Abhirup, Roy, Nirupam, Choudhury, Madhurima, Dutta, Prasun
We present a Wideband Tapered Gridded Estimator (TGE), which incorporates baseline migration and variation of the primary beam pattern for neutral hydrogen (${\rm H\hspace{0.5mm}}{\scriptsize {\rm I}}$) 21-cm intensity mapping (IM) with large frequen
Externí odkaz:
http://arxiv.org/abs/2403.06736