Zobrazeno 1 - 10
of 187 480
pro vyhledávání: '"Hadi, A"'
In this study, we presented two innovative methods, which are Threshold-Based Derivative (TBD) and Adaptive Derivative Peak Detection(ADPD), that enhance the accuracy of Learning models for blood glucose estimation using Mid-Infrared (MIR) spectrosco
Externí odkaz:
http://arxiv.org/abs/2412.07821
Autor:
Trevithick, Alex, Paiss, Roni, Henzler, Philipp, Verbin, Dor, Wu, Rundi, Alzayer, Hadi, Gao, Ruiqi, Poole, Ben, Barron, Jonathan T., Holynski, Aleksander, Ramamoorthi, Ravi, Srinivasan, Pratul P.
Novel-view synthesis techniques achieve impressive results for static scenes but struggle when faced with the inconsistencies inherent to casual capture settings: varying illumination, scene motion, and other unintended effects that are difficult to
Externí odkaz:
http://arxiv.org/abs/2412.07696
We investigate the spin-squeezing behavior under thermal effects in a one-dimensional transverse field XY model with spin-1/2. The exact solution of the model helps us to compute the spin-squeezing parameter as a function of temperature and also in a
Externí odkaz:
http://arxiv.org/abs/2412.04564
Masked Autoencoders (MAEs) are an important divide in self-supervised learning (SSL) due to their independence from augmentation techniques for generating positive (and/or negative) pairs as in contrastive frameworks. Their masking and reconstruction
Externí odkaz:
http://arxiv.org/abs/2412.02871
Large language models (LLMs) have become increasingly pivotal in various domains due the recent advancements in their performance capabilities. However, concerns persist regarding biases in LLMs, including gender, racial, and cultural biases derived
Externí odkaz:
http://arxiv.org/abs/2412.00962
Prior research has demonstrated that language models can, to a limited extent, represent moral norms in a variety of cultural contexts. This research aims to replicate these findings and further explore their validity, concentrating on issues like 'h
Externí odkaz:
http://arxiv.org/abs/2412.00956
Particle-based methods include a variety of techniques, such as Markov Chain Monte Carlo (MCMC) and Sequential Monte Carlo (SMC), for approximating a probabilistic target distribution with a set of weighted particles. In this paper, we prove that for
Externí odkaz:
http://arxiv.org/abs/2412.00545
Autor:
Lourenço, Maicon Pierre, Naseri, Mosayeb, Herrera, Lizandra Barrios, Zadeh-Haghighi, Hadi, Gaur, Daya, Simon, Christoph, Salahub, Dennis R.
Active learning (AL) has been widely applied in chemistry and materials science. In this work we propose a quantum active learning (QAL) method for automatic structural determination of doped nanoparticles, where quantum machine learning (QML) models
Externí odkaz:
http://arxiv.org/abs/2412.00504
Autor:
Hosseini, Hadi, Zhang, Duohan
Two-sided matching markets have demonstrated significant impact in many real-world applications, including school choice, medical residency placement, electric vehicle charging, ride sharing, and recommender systems. However, traditional models often
Externí odkaz:
http://arxiv.org/abs/2412.00301
This paper presents a novel efficient method for spatial monitoring of the distribution of correlated field signals, such as temperature, humidity, etc. using unmanned aerial vehicles (UAVs). The spatial signal is compressed to its iso-contour lines
Externí odkaz:
http://arxiv.org/abs/2411.17449