Zobrazeno 1 - 10
of 1 395
pro vyhledávání: '"Sengar P"'
Autor:
Liu, Xiao-Jin, Sengar, Rahul, Bailes, Matthew, Eatough, Ralph P., Yuan, Jianping, Wang, Na, Zhu, Weiwei, Zhou, Lu, Gao, He, Zhu, Zong-Hong, Zhu, Xing-Jiang
More than 300 pulsars have been discovered in Galactic globular clusters; however, none have been found in open clusters. Here we present results from 20-hour pulsar searching observations in seven open clusters with the Five-hundred-meter Aperture S
Externí odkaz:
http://arxiv.org/abs/2412.08055
Autor:
Sengar, R., Bailes, M., Balakrishnan, V., Barr, E. D., Bhat, N. D. R., Burgay, M., Bernadich, M. C. i, Cameron, A. D., Champion, D. J., Chen, W., Flynn, C. M. L., Jameson, A., Johnston, S., Keith, M. J., Kramer, M., Morello, V., Ng, C., Possenti, A., Stevenson, S., Shannon, R. M., van Straten, W., Wongphechauxsorn, J.
We have conducted a GPU accelerated reprocessing of $\sim 87\%$ of the archival data from the High Time Resolution Universe South Low Latitude (HTRU-S LowLat) pulsar survey by implementing a pulsar search pipeline that was previously used to reproces
Externí odkaz:
http://arxiv.org/abs/2412.07104
Autor:
Gupta, Ravi Kant, Jindal, Mohit, Jain, Garima, Sridhar, Epari, Yadav, Subhash, Jain, Hasmukh, Shet, Tanuja, Sakhdeo, Uma, Sengar, Manju, Nayak, Lingaraj, Bagal, Bhausaheb, Apkare, Umesh, Sethi, Amit
We address the challenge of automated classification of diffuse large B-cell lymphoma (DLBCL) into its two primary subtypes: activated B-cell-like (ABC) and germinal center B-cell-like (GCB). Accurate classification between these subtypes is essentia
Externí odkaz:
http://arxiv.org/abs/2411.08531
Autor:
Trudu, M., Possenti, A., Pilia, M., Bailes, M., Keane, E. F., Kramer, M., Balakrishnan, V., Bhandari, S., Bhat, N. D. R., Burgay, M., Cameron, A., Champion, D. J., Jameson, A., Johnston, S., Keith, M. J., Levin, L., Ng, C., Sengar, R., Tiburzi, C.
Publikováno v:
A&A 690, A204 (2024)
Current observational evidence reveals that fast radio bursts (FRBs) exhibit bandwidths ranging from a few dozen MHz to several GHz. Traditional FRB searches primarily employ matched filter methods on time series collapsed across the entire observati
Externí odkaz:
http://arxiv.org/abs/2408.14384
Autor:
Frail, Dale A., Polisensky, Emil, Hyman, Scott D., Cotton, W. M., Kassim, Namir E., Silverstein, Michele L., Sengar, Rahul, Kaplan, David L., Calore, Francesca, Berteaud, Joanna, Clavel, Maica, Geyer, Marisa, Legodi, Samuel, Krishnan, Vasaant, Buchner, Sarah, Camilo, Fernando
We report on the results of an image-based search for pulsar candidates toward the Galactic bulge. We used mosaic images from the MeerKAT radio telescope, that were taken as part of a 173 deg**2 survey of the bulge and Galactic center of our Galaxy a
Externí odkaz:
http://arxiv.org/abs/2407.01773
This study presents significant enhancements in human pose estimation using the MediaPipe framework. The research focuses on improving accuracy, computational efficiency, and real-time processing capabilities by comprehensively optimising the underly
Externí odkaz:
http://arxiv.org/abs/2406.15649
This study presents a novel driver drowsiness detection system that combines deep learning techniques with the OpenCV framework. The system utilises facial landmarks extracted from the driver's face as input to Convolutional Neural Networks trained t
Externí odkaz:
http://arxiv.org/abs/2406.15646
Autor:
Sengar, Sandeep Singh
Developing a robust object tracker is a challenging task due to factors such as occlusion, motion blur, fast motion, illumination variations, rotation, background clutter, low resolution and deformation across the frames. In the literature, lots of g
Externí odkaz:
http://arxiv.org/abs/2406.09914
In recent years, the study of artificial intelligence (AI) has undergone a paradigm shift. This has been propelled by the groundbreaking capabilities of generative models both in supervised and unsupervised learning scenarios. Generative AI has shown
Externí odkaz:
http://arxiv.org/abs/2405.11029
Object detection algorithms particularly those based on YOLO have demonstrated remarkable efficiency in balancing speed and accuracy. However, their application in brain tumour detection remains underexplored. This study proposes RepVGG-GELAN, a nove
Externí odkaz:
http://arxiv.org/abs/2405.03541