Propose: Today, there has been a major global advancement in medical image-based
diagnosis. A great deal of research is being done in this area, and the results are having a …

Introduction: This includes options such as transfеr lеarning and multilingual modеls as well
as problems such as languagеs​​ and missing data. Advances in natural language …

Propose: Digitally signed transactions are the cornerstone of data connected to repressive
chains that are kept in distributed ledgers. In particular, cryptocurrency has grown to become …

This study compares various forecasting models in an effort to determine which method is
best for predicting energy use while taking accuracy, computational complexity, and …

The research aims to explore the multi-layer application of machine learning techniques in
the field of cybersecurity, with a particular focus on anomaly detection as a pivotal aspect of …

Propose: The regulatory regulations of different nations globally differ from one another. As a
result, it is difficult for the corporations to create a single medication that can be concurrently …

The adoption of the Electronic Submissions Gateway (ESG) represents a paradigm shift in
regulatory filings, profoundly impacting data integrity and security. This paper delves into the …

Abstract" Artificial Intelligence (AI) has become instrumental in reshaping business
forecasting and decision-making processes. This study delves into the integration and …

Aim: This study is intended to engage in the in-depth study of AI-enabled personalization
tactics on the quality of customer experience as competition informs the e-commerce …

The bias of AI is used when the application of machine learning can expand out of its ethical
use in the machine learning platform. The evaluation of these biases is important to discuss …