Zobrazeno 1 - 10
of 65 967
pro vyhledávání: '"Singh A K"'
Autor:
Kim, Bitgoeul, Blair, Samuel W., Jubery, Talukder Z., Sarkar, Soumik, Singh, Arti, Singh, Asheesh K., Ganapathysubramanian, Baskar
Plant breeding programs require assessments of days to maturity for accurate selection and placement of entries in appropriate tests. In the early stages of the breeding pipeline, soybean breeding programs assign relative maturity ratings to experime
Externí odkaz:
http://arxiv.org/abs/2412.09696
Autor:
Singh, Anupam K., Singh, Sanjay, Dubey, Krishna K., Devi, Parul, Das, Pritam, Etter, Martin, Grendal, Ola. G., Dejoie, Catherine, Fitch, Andrew, Senyshyn, Anatoliy, Lee, Seung-Cheol, Bhattacharjee, Satadeep, Pandey, Dhananjai
Dzyaloshinskii-Moriya interaction (DMI) plays a crucial role to stabilize the exotic topologically stable skyrmion spin-textures in the noncentrosymmetric crystals. The recent discovery of biskyrmions and skyrmions in the globally centrosymmetric cry
Externí odkaz:
http://arxiv.org/abs/2412.09158
Spatio-temporal dynamics of the evolution of population involving growth and diffusion processes can be modeled by class of partial diffusion equations (PDEs) known as reaction-diffusion systems. In this work, we developed a nonlinear transformations
Externí odkaz:
http://arxiv.org/abs/2412.09653
Math reasoning is becoming an ever increasing area of focus as we scale large language models. However, even the previously-toughest evals like MATH are now close to saturated by frontier models (90.0% for o1-mini and 86.5% for Gemini 1.5 Pro). We in
Externí odkaz:
http://arxiv.org/abs/2412.08819
Publikováno v:
World Journal of Advanced Research and Reviews 24 2024 001 025
The integration of artificial intelligence [AI] into clinical trials has revolutionized the process of drug development and personalized medicine. Among these advancements, deep learning and predictive modelling have emerged as transformative tools f
Externí odkaz:
http://arxiv.org/abs/2412.07050
Autor:
TEXONO Collaboration, Li, H. B., Pandey, M. K., Leung, C. H., Singh, L., Wong, H. T., Chi, H. -C., Deniz, M., C., Greeshma, Chen, J. -W., Hsu, H. C., Karadag, S., Karmakar, S., Kumar, V., Li, J., Lin, F. K., Lin, S. T., Liu, C. -P., Liu, S. K., Ma, H., Mishra, D. K., Saraswat, K., Sharma, V., Singh, M. K., Singh, V., Tanabe, D., Wang, J. S., Wu, C. -P., Yang, L. T., Yeh, C. H., Yue, Q.
After decades of experimental efforts, the DAMA/LIBRA(DL) annual modulation (AM) analysis on the ${\chi}$N (WIMP Dark Matter interactions on nucleus) channel remains the only one which can be interpreted as positive signatures. This has been refuted
Externí odkaz:
http://arxiv.org/abs/2412.04916
New physics beyond the Standard Model (SM) may appear in the form of non-standard neutrino interactions (NSI). We have studied neutral current (anti)neutrino-nucleon scattering in presence of NSI. We obtain that in this scenario, nucleon matrix eleme
Externí odkaz:
http://arxiv.org/abs/2412.04818
The ability of language models to learn a task from a few examples in context has generated substantial interest. Here, we provide a perspective that situates this type of supervised few-shot learning within a much broader spectrum of meta-learned in
Externí odkaz:
http://arxiv.org/abs/2412.03782
Autor:
Feng, Jiale, Blair, Samuel W., Ayanlade, Timilehin, Balu, Aditya, Ganapathysubramanian, Baskar, Singh, Arti, Sarkar, Soumik, Singh, Asheesh K
We present a novel method for soybean (Glycine max (L.) Merr.) yield estimation leveraging high throughput seed counting via computer vision and deep learning techniques. Traditional methods for collecting yield data are labor-intensive, costly, pron
Externí odkaz:
http://arxiv.org/abs/2412.02642
With the growing demand for interpretable deep learning models, this paper introduces Integrative CAM, an advanced Class Activation Mapping (CAM) technique aimed at providing a holistic view of feature importance across Convolutional Neural Networks
Externí odkaz:
http://arxiv.org/abs/2412.01354