Generative artificial intelligence (AI) has emerged as a powerful technology with numerous
applications in various domains. There is a need to identify the requirements and evaluation …

In the last few years, there have been several revolutions in the field of deep learning,
mainly headlined by the large impact of Generative Adversarial Networks (GANs). GANs not …

Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …

Medical images are a critical component of the diagnostic process for clinicians. Although
the quality of medical photographs is essential to the accuracy of a physician's diagnosis …

Quantum mechanics studies nature and its behavior at the scale of atoms and subatomic
particles. By applying quantum mechanics, a lot of problems can be solved in a more …

Abstract Named Entity Recognition (NER) is used to identify entity nouns in the corpus such
as Location, Person and Organization, etc. NER is also an important basic of research in …

We propose a new simulation‐based estimation method, adversarial estimation, for
structural models. The estimator is formulated as the solution to a minimax problem between …

Ubiquitous chemicals in the environment may pose a threat to human health and the
ecosystem, so comprehensive toxicity information must be obtained. Due to the inability of …

The importance of statistical methods in finding patterns and trends in otherwise
unstructured and complex large sets of data has grown over the past decade, as the amount …

Text classification (TC) is an important basic task in the field of Natural Language
Processing (NLP), and multi-label text classification (MLTC) is an important branch of TC …