Zobrazeno 1 - 10
of 7 093
pro vyhledávání: '"Ghaith, A"'
Riemann numerically approximated at least three zeta zeros. According to Edwards, Riemann even took steps to verify that the lowest zero he computed was indeed the first zeta zero. This approach to verification is developed, improved, and generalized
Externí odkaz:
http://arxiv.org/abs/2408.00187
Autor:
Altarabichi, Mohammed Ghaith
The neurons of Kolmogorov-Arnold Networks (KANs) perform a simple summation motivated by the Kolmogorov-Arnold representation theorem, which asserts that sum is the only fundamental multivariate function. In this work, we investigate the potential fo
Externí odkaz:
http://arxiv.org/abs/2407.20667
Autor:
Altarabichi, Mohammed Ghaith
We propose DropKAN (Dropout Kolmogorov-Arnold Networks) a regularization method that prevents co-adaptation of activation function weights in Kolmogorov-Arnold Networks (KANs). DropKAN functions by embedding the drop mask directly within the KAN laye
Externí odkaz:
http://arxiv.org/abs/2407.13044
Autor:
SuperCDMS Collaboration, Albakry, M. F., Alkhatib, I., Alonso-González, D., Amaral, D. W. P., Anczarski, J., Aralis, T., Aramaki, T., Arnquist, I. J., Langroudy, I. Ataee, Azadbakht, E., Bathurst, C., Bhattacharyya, R., Biffl, A. J., Brink, P. L., Buchanan, M., Bunker, R., Cabrera, B., Calkins, R., Cameron, R. A., Cartaro, C., Cerdeño, D. G., Chang, Y. -Y., Chaudhuri, M., Chen, J. -H., Chen, R., Chott, N., Cooley, J., Coombes, H., Cushman, P., Cyna, R., Das, S., De Brienne, F., Dharani, S., di Vacri, M. L., Diamond, M. D., Elwan, M., Fascione, E., Figueroa-Feliciano, E., Fouts, K., Fritts, M., Germond, R., Ghaith, M., Golwala, S. R., Hall, J., Harms, S. A. S., Harris, K., Hassan, N., Hong, Z., Hoppe, E. W., Hsu, L., Huber, M. E., Iyer, V., Jardin, D., Kashyap, V. K. S., Keller, S. T. D., Kelsey, M. H., Kennard, K. T., Kubik, A., Kurinsky, N. A., Lee, M., Leyva, J., Liu, J., Liu, Y., Loer, B., Asamar, E. Lopez, Lukens, P., MacFarlane, D. B., Mahapatra, R., Mammo, J. S., Mast, N., Mayer, A. J., Theenhausen, H. Meyer zu, Michaud, É., Michielin, E., Mirabolfathi, N., Mirzakhani, M., Mohanty, B., Monteiro, D., Nelson, J., Neog, H., Novati, V., Orrell, J. L., Osborne, M. D., Oser, S. M., Pandey, L., Pandey, S., Partridge, R., Pedreros, D. S., Peng, W., Perna, L., Perry, W. L., Podviianiuk, R., Poudel, S. S., Pradeep, A., Pyle, M., Rau, W., Reid, E., Ren, R., Reynolds, T., Rios, M., Roberts, A., Robinson, A. E., Ryan, J. L., Saab, T., Sadek, D., Sadoulet, B., Sahoo, S. P., Saikia, I., Sander, J., Sattari, A., Schmidt, B., Schnee, R. W., Scorza, S., Serfass, B., Simchony, A., Sincavage, D. J., Sinervo, P., Street, J., Sun, H., Tanner, E., Terry, G. D., Toback, D., Verma, S., Villano, A. N., von Krosigk, B., Watkins, S. L., Wen, O., Williams, Z., Wilson, M. J., Winchell, J., Wykoff, K., Yellin, S., Young, B. A., Yu, T. C., Zatschler, B., Zatschler, S., Zaytsev, A., Zhang, E., Zheng, L., Zuniga, A., Zurowski, M. J.
This article presents constraints on dark-matter-electron interactions obtained from the first underground data-taking campaign with multiple SuperCDMS HVeV detectors operated in the same housing. An exposure of 7.63 g-days is used to set upper limit
Externí odkaz:
http://arxiv.org/abs/2407.08085
Autor:
Chouikhi, Hasna, Aloui, Manel, Hammou, Cyrine Ben, Chaabane, Ghaith, Kchaou, Haithem, Dhaouadi, Chehir
Large language models (LLMs) have greatly impacted the natural language processing (NLP) field, particularly for the English language. These models have demonstrated capabilities in understanding and generating human-like text. The success of languag
Externí odkaz:
http://arxiv.org/abs/2407.02147
In recent years, Large Language Models have revolutionized the field of natural language processing, showcasing an impressive rise predominantly in English-centric domains. These advancements have set a global benchmark, inspiring significant efforts
Externí odkaz:
http://arxiv.org/abs/2405.01590
Autor:
Altarabichi, Mohammed Ghaith, Nowaczyk, Sławomir, Pashami, Sepideh, Mashhadi, Peyman Sheikholharam
Publikováno v:
Expert Systems with Applications, 211, p.118528 (2023)
Evolutionary Algorithms (EAs) are often challenging to apply in real-world settings since evolutionary computations involve a large number of evaluations of a typically expensive fitness function. For example, an evaluation could involve training a n
Externí odkaz:
http://arxiv.org/abs/2404.03996
Autor:
Altarabichi, Mohammed Ghaith, Nowaczyk, Sławomir, Pashami, Sepideh, Mashhadi, Peyman Sheikholharam, Handl, Julia
Publikováno v:
Information Sciences, p.120500 (2024)
This paper investigates how various randomization techniques impact Deep Neural Networks (DNNs). Randomization, like weight noise and dropout, aids in reducing overfitting and enhancing generalization, but their interactions are poorly understood. Th
Externí odkaz:
http://arxiv.org/abs/2404.03992
Autor:
Camus, Philippe, Corbett, Jonathan, Crawford, Sean, Dering, Koby, Fascione, Eleanor, Gerbier, Gilles, Germond, Richard, Ghaith, Muad, Hall, Jeter, Hong, Ziqing, Kubik, Andrew, Mayer, Adam, Nagorny, Serge, Pakarha, Payam, Rau, Wolfgang, Scorza, Silvia, Underwood, Ryan
Publikováno v:
Frontiers in Physics volume 11 (2024) 1319879
Low-temperature cryogenics open the door for a range of interesting technologies based on features like superconductivity and superfluidity, low-temperature phase transitions or the low heat capacity of non-metals in the milli-Kelvin range. Devices b
Externí odkaz:
http://arxiv.org/abs/2310.07930
Autor:
Alomari, Ghaith, Aljarah, Anas
Data extraction and management are crucial components of research and clinical workflows in Radiation Oncology (RO), where accurate and comprehensive data are imperative to inform treatment planning and delivery. The advent of automated data mining s
Externí odkaz:
http://arxiv.org/abs/2310.05020