In this paper, we propose a physical informed neural network approach for designing the
electromagnetic metamaterial. The approach can be used to deal with various practical …

Paraphrase Identification or Natural Language Sentence Matching (NLSM) is one of the
important and challenging tasks in Natural Language Processing where the task is to …

Ensemble methods for machine learning serve to increase the predictive power of
preexisting models by applying a meta-algorithm on top of the underlying workings of one or …

Crypto assets have lately become the chief interest of investors around the world. The
excitement around, along with the promise of the nascent technology led to enormous …

Sustaining a society requires reusing, reducing, and recycling waste. Waste disposal has
always been a problem in developing countries because of inadequate infrastructure. By …

To a practitioner who chooses to test the robustness while keeping track of all the
perspectives, angles, and elements of a study's conclusions in the data analysis, we offer an …

Abstract Hidden Markov models (HMMs), especially those with a Poisson density governing
the latent state-dependent emission probabilities, have enjoyed substantial and undeniable …

Neural networks are the cutting edge of artificial intelligence, demonstrated to reliably
outperform other techniques in machine learning. Within the domain of neural networks …

The coating process in lithium-ion battery manufacturing is designed to distribute stirred
slurry on substrates. The coating results have a significant effect on the performance of …

Security is a universal concern across a multitude of sectors involved in the transfer and
storage of computerized data. In the realm of cryptography, random number generators …