Zobrazeno 1 - 10
of 6 686
pro vyhledávání: '"P, Venkatraman"'
Deciphering the acoustic language of chickens offers new opportunities in animal welfare and ecological informatics. Their subtle vocal signals encode health conditions, emotional states, and dynamic interactions within ecosystems. Understanding the
Externí odkaz:
http://arxiv.org/abs/2412.16182
Autor:
Ross, Aiden, Ali, Mohamed S. M. M., Saha, Akash, Zu, Rui, Gopalan, Venkatraman, Dabo, Ismaila, Chen, Long-Qing
Ferroelectric materials underlie key optical technologies in optical communications, integrated optics and quantum computing. Yet, there is a lack of a consistent thermodynamic framework to predict the optical properties of ferroelectrics and the mut
Externí odkaz:
http://arxiv.org/abs/2412.03459
Autor:
Porayko, N. K., Usynina, P., Terol-Calvo, J., Camalich, J. Martin, Shaifullah, G. M., Castillo, A., Blas, D., Guillemot, L., Peel, M., Tiburzi, C., Postnov, K., Kramer, M., Antoniadis, J., Babak, S., Nielsen, A. -S. Bak, Barausse, E., Bassa, C. G., Blanchard, C., Bonetti, M., Bortolas, E., Brook, P. R., Burgay, M., Caballero, R. N., Chalumeau, A., Champion, D. J., Chanlaridis, S., Chen, S., Cognard, I., Desvignes, G., Falxa, M., Ferdman, R. D., Franchini, A., Gair, J. R., Goncharov, B., Graikou, E., Grießmeier, J. -M., Guo, Y. J., Hu, H., Iraci, F., Izquierdo-Villalba, D., Jang, J., Jawor, J., Janssen, G. H., Jessner, A., Karuppusamy, R., Keane, E. F., Keith, M. J., Krishnakumar, M. A., Lackeos, K., Lee, K. J., Liu, K., Liu, Y., Lyne, A. G., McKee, J. W., Main, R. A., Mickaliger, M. B., Niţu, I. C., Parthasarathy, A., Perera, B. B. P., Perrodin, D., Petiteau, A., Possenti, A., Leclere, H. Quelquejay, Samajdar, A., Sanidas, S. A., Sesana, A., Speri, L., Spiewak, R., Stappers, B. W., Susarla, S. C., Theureau, G., van der Wateren, E., Vecchio, A., Krishnan, V. Venkatraman, Wang, J., Wang, L., Wu, Z.
Ultra-light axion-like particles (ALPs) can be a viable solution to the dark matter problem. The scalar field associated with ALPs, coupled to the electromagnetic field, acts as an active birefringent medium, altering the polarisation properties of l
Externí odkaz:
http://arxiv.org/abs/2412.02232
Autor:
Grunthal, Kathrin, Nathan, Rowina S., Thrane, Eric, Champion, David J., Miles, Matthew T., Shannon, Ryan M., Kulkarni, Atharva D., Abbate, Federico, Buchner, Sarah, Cameron, Andrew D., Geyer, Marisa, Gitika, Pratyasha, Keith, Michael J., Kramer, Michael, Lasky, Paul D., Parthasarathy, Aditya, Reardon, Daniel J., Singha, Jaikhomba, Krishnan, Vivek Venkatraman
In an accompanying publication, the MeerKAT Pulsar Timing Array (MPTA) collaboration reports tentative evidence for the presence of a stochastic gravitational-wave background, following observations of similar signals from the European and Indian Pul
Externí odkaz:
http://arxiv.org/abs/2412.01214
Autor:
Miles, Matthew T., Shannon, Ryan M., Reardon, Daniel J., Bailes, Matthew, Champion, David J., Geyer, Marisa, Gitika, Pratyasha, Grunthal, Kathrin, Keith, Michael J., Kramer, Michael, Kulkarni, Atharva D., Nathan, Rowina S., Parthasarathy, Aditya, Singha, Jaikhomba, Theureau, Gilles, Thrane, Eric, Abbate, Federico, Buchner, Sarah, Cameron, Andrew D., Camilo, Fernando, Moreschi, Beatrice E., Shaifullah, Golam, Shamohammadi, Mohsen, Possenti, Andrea, Krishnan, Vivek Venkatraman
Pulsar Timing Arrays search for nanohertz-frequency gravitational waves by regularly observing ensembles of millisecond pulsars over many years to look for correlated timing residuals. Recently the first evidence for a stochastic gravitational wave b
Externí odkaz:
http://arxiv.org/abs/2412.01153
Autor:
Miles, Matthew T., Shannon, Ryan M., Reardon, Daniel J., Bailes, Matthew, Champion, David J., Geyer, Marisa, Gitika, Pratyasha, Grunthal, Kathrin, Keith, Michael J., Kramer, Michael, Kulkarni, Atharva D., Nathan, Rowina S., Parthasarathy, Aditya, Porayko, Nataliya K., Singha, Jaikhomba, Theureau, Gilles, Abbate, Federico, Buchner, Sarah, Cameron, Andrew D., Camilo, Fernando, Moreschi, Beatrice E., Shaifullah, Golam, Shamohammadi, Mohsen, Krishnan, Vivek Venkatraman
Pulsar timing arrays are ensembles of regularly observed millisecond pulsars timed to high precision. Each pulsar in an array could be affected by a suite of noise processes, most of which are astrophysically motivated. Analysing them carefully can b
Externí odkaz:
http://arxiv.org/abs/2412.01148
Autor:
Wang, Shuangqing, Sutherland, George A., Pidgeon, James P., Swainsbury, David J. K., Martin, Elizabeth C., Vasilev, Cvetelin, Hitchcock, Andrew, Gillard, Daniel J., Venkatraman, Ravi Kumar, Chekulaev, Dimitri, Tartakovskii, Alexander I., Hunter, C. Neil, Clark, Jenny
Singlet fission (SF), the spin-allowed conversion of one singlet exciton into two triplet excitons, offers a promising strategy for enhancing the efficiency of photovoltaic devices. However, realising this potential necessitates materials capable of
Externí odkaz:
http://arxiv.org/abs/2411.18801
Autor:
Burgay, M., Nieder, L., Clark, C. J., Freire, P. C. C., Buchner, S., Thongmeearkom, T., Turner, J. D., Carli, E., Cognard, I., Grießmeier, J. M., Karuppusamy, R., Bernadich, M. C. i, Possenti, A., Krishnan, V. Venkatraman, Breton, R. P., Barr, E. D., Stappers, B. W., Kramer, M., Levin, L., Ransom, S. M., Padmanabh, P. V.
Publikováno v:
A&A, 691, A315 (2024)
This paper presents the results of a joint radio and gamma-ray timing campaign on the nine millisecond pulsars (MSPs) discovered as part of the L-band targeted survey of Fermi-LAT sources performed in the context of the Transients and Pulsars with Me
Externí odkaz:
http://arxiv.org/abs/2411.14895
Autor:
V, Pandiyaraju, Malarvannan, Santhosh, Venkatraman, Shravan, A, Abeshek, B, Priyadarshini, A, Kannan
Diabetic retinopathy is a leading cause of blindness around the world and demands precise AI-based diagnostic tools. Traditional loss functions in multi-class classification, such as Categorical Cross-Entropy (CCE), are very common but break down wit
Externí odkaz:
http://arxiv.org/abs/2411.10843
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers
Image classification is a computer vision task where a model analyzes an image to categorize it into a specific label. Vision Transformers (ViT) improve this task by leveraging self-attention to capture complex patterns and long range relationships b
Externí odkaz:
http://arxiv.org/abs/2411.09420