Years ago, an audacious Fields medalist outlined a sweeping program that, he claimed, could be used to resolve a major ...
Congenital urethral malformations represent a diverse and clinically significant spectrum of anomalies encountered in ...
Abstract: This study proposes robust convolutional neural network (CNN)-based automatic modulation classification (AMC) techniques. Traditional AMCs may be classified into two types: those that rely ...
The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security ...
PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...
In recent years, advancements in micro uncrewed aerial vehicles (UAVs) and drones have expanded applications and technical capabilities. With their versatility, mobility, and affordability, drones are ...
Abstract: Text classification in natural language processing (NLP) is evolving rapidly, particularly with the surge in transformer-based models, including large language models (LLM). This paper ...
In today’s data-driven world, the ability to extract insights from vast amounts of information is a crucial competitive advantage for companies across industries. Organizations turn to machine ...
Because machine learning with deep neural techniques has advanced quickly, our resident data scientist updates binary classification techniques and best practices based on experience over the past two ...
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