Zobrazeno 1 - 10
of 2 138
pro vyhledávání: '"Rahman, A. K."'
Autor:
Seager, Sara, Petkowski, Janusz J., Seager, Maxwell D., Grimes Jr., John H., Zinsli, Zachary, Vollmer-Snarr, Heidi R., El-Rahman, Mohamed K. Abd, Wishart, David S., Lee, Brian L., Gautam, Vasuk, Herrington, Lauren, Bains, William, Darrow, Charles
Publikováno v:
PNAS, June 12, 2023, 120 (25) e2220007120
What constitutes a habitable planet is a frontier to be explored and requires pushing the boundaries of our terracentric viewpoint for what we deem to be a habitable environment. Despite Venus' 700 K surface temperature being too hot for any plausibl
Externí odkaz:
http://arxiv.org/abs/2306.17182
Autor:
Hossain, Mir Sazzat, Roy, Sugandha, Asad, K. M. B., Momen, Arshad, Ali, Amin Ahsan, Amin, M Ashraful, Rahman, A. K. M. Mahbubur
Publikováno v:
Procedia Computer Science, Volume 222, 2023, Pages 601-612
Out of the estimated few trillion galaxies, only around a million have been detected through radio frequencies, and only a tiny fraction, approximately a thousand, have been manually classified. We have addressed this disparity between labeled and un
Externí odkaz:
http://arxiv.org/abs/2306.00031
This paper aims to detect rice field damage from natural disasters in Bangladesh using high-resolution satellite imagery. The authors developed ground truth data for rice field damage from the field level. At first, NDVI differences before and after
Externí odkaz:
http://arxiv.org/abs/2304.00622
Autor:
Sarker, Aparna, Rabbi, Abu Sufian, Nadi, Nasrin Akter, Rahman, A. K. M. Lutfor, Momin, A.A., Ahmed, Khondoker Shahin, Simol, Hasina Akhter
Publikováno v:
In Results in Chemistry October 2024 11
Autor:
Deb, Tonmoay, Sadmanee, Akib, Bhaumik, Kishor Kumar, Ali, Amin Ahsan, Amin, M Ashraful, Rahman, A K M Mahbubur
While describing Spatio-temporal events in natural language, video captioning models mostly rely on the encoder's latent visual representation. Recent progress on the encoder-decoder model attends encoder features mainly in linear interaction with th
Externí odkaz:
http://arxiv.org/abs/2201.00985
There are proposals that extend the classical generalized additive models (GAMs) to accommodate high-dimensional data ($p>>n$) using group sparse regularization. However, the sparse regularization may induce excess shrinkage when estimating smooth fu
Externí odkaz:
http://arxiv.org/abs/2110.14449
Autor:
Kumar, Monish, Leekha, Ankita, Nandy, Suman, Kulkarni, Rohan, Martinez-Paniagua, Melisa, Rahman Sefat, K. M. Samiur, Willson, Richard C., Varadarajan, Navin
Publikováno v:
In iScience 21 June 2024 27(6)
Publikováno v:
In Microchemical Journal June 2024 201
Graph Neural Networks (GNNs) learn low dimensional representations of nodes by aggregating information from their neighborhood in graphs. However, traditional GNNs suffer from two fundamental shortcomings due to their local ($l$-hop neighborhood) agg
Externí odkaz:
http://arxiv.org/abs/2104.13014
Graph pooling is an essential ingredient of Graph Neural Networks (GNNs) in graph classification and regression tasks. For these tasks, different pooling strategies have been proposed to generate a graph-level representation by downsampling and summa
Externí odkaz:
http://arxiv.org/abs/2104.13012