Robust Bernoulli mixture models for credit portfolio risk

Autor: Ansari, Jonathan, Lütkebohmert, Eva

This paper presents comparison results and establishes risk bounds for credit portfolios within classes of Bernoulli mixture models, assuming conditionally independent defaults that are stochastically increasing with a common risk factor. We provide

Externí odkaz: http://arxiv.org/abs/2411.11522

Large-Scale Cost-Effective Mid-Infrared Resonant Silicon Microstructures for Surface-Enhanced Infrared Absorption Spectroscopy

Autor: Sudha, Pooja, kumar, Anil, Dhankar, Kunal, Ansari, Khalid, Hazra, Sugata, Samanta, Arup

The mid-infrared region is crucial for elucidating the unique biochemical signatures of microorganisms. The MIR resonant structures turned out to facilitate exceptional performance owing to the enhance electric field confinement in the nano-sized ape

Externí odkaz: http://arxiv.org/abs/2411.09330

Control of 2D plasmons in the topological insulator Bi2Se3 with highly crystalline C60 overlayers

Autor: McCauley, Mairi, Ansari, Lida, Gity, Farzan, Rogers, Matthew, Burton, Joel, Sasaki, Satoshi, Ramasse, Quentin, Knox, Craig, Hurley, Paul K, MacLaren, Donald, Moorsom, Timothy

Topological Insulators (TIs) present an interesting materials platform for nanoscale, high frequency devices because they support high mobility, low scattering electronic transport within confined surface states. However, a robust methodology to cont

Externí odkaz: http://arxiv.org/abs/2410.23983

Shape evolution in even-mass $^{98-104}$Zr isotopes via lifetime measurements using the $\gamma\gamma$-coincidence technique

Autor: Pasqualato, G., Ansari, S., Heines, J. S., Modamio, V., Görgen, A., Korten, W., Ljungvall, J., Clément, E., Dudouet, J., Lemasson, A., Rodríguez, T. R., Allmond, J. M., Arici, T., Beckmann, K. S., Bruce, A. M., Doherty, D., Esmaylzadeh, A., Gamba, E. R., Gerhard, L., Gerl, J., Georgiev, G., Ivanova, D. P., Jolie, J., Kim, Y. -H., Knafla, L., Korichi, A., Koseoglou, P., Labiche, M., Lalkovski, S., Lauritsen, T., Li, H. -J., Pedersen, L. G., Pietri, S., Ralet, D., Regis, J. M., Rudigier, M., Saha, S., Sahin, E., Siem, S., Singh, P., öderström, P. -A., Theisen, C., Tornyi, T., Vandebrouck, M., Witt, W., Zielińska, M., Barrientos, D., Bednarczyk, P., Benzoni, G., Boston, A. J., Boston, H. C., Bracco, A., Cederwall, B, Ciemala, M., de France, G., Domingo-Pardo, C., Eberth, J., Gadea, A., González, V., Gottardo, A., Harkness-Brennan, L. J., Hess, H., Judson, D. S., Jungclaus, A., Lenzi, S. M., Leoni, S., Menegazzo, R., Mengoni, D., Michelagnoli, C., Napoli, D. R., Nyberg, J., Podolyak, Zs., Pullia, A., Recchia, F., Reiter, P., Rezynkina, K., Salsac, M. D., Sanchis, E., Şenyiğit, M., Siciliano, M., Simpson, J., Sohler, D., Stezowski, O., Valiente-Dobón, J. J., Verney, D.

Publikováno v: Eur. Phys. J. A (2023) 59:276

The Zirconium (Z = 40) isotopic chain has attracted interest for more than four decades. The abrupt lowering of the energy of the first $2^+$ state and the increase in the transition strength B(E2; $2_1^\rightarrow 0_1^+$ going from $^{98}$Zr to $^{1

Externí odkaz: http://arxiv.org/abs/2410.17004

Deep Learning for Surgical Instrument Recognition and Segmentation in Robotic-Assisted Surgeries: A Systematic Review

Autor: Ahmed, Fatimaelzahraa Ali, Yousef, Mahmoud, Ahmed, Mariam Ali, Ali, Hasan Omar, Mahboob, Anns, Ali, Hazrat, Shah, Zubair, Aboumarzouk, Omar, Ansari, Abdulla Al, Balakrishnan, Shidin

Applying deep learning (DL) for annotating surgical instruments in robot-assisted minimally invasive surgeries (MIS) represents a significant advancement in surgical technology. This systematic review examines 48 studies that and advanced DL methods

Externí odkaz: http://arxiv.org/abs/2410.07269