We are in the era of a hefty amount of information which is rising day by day and
warehoused electronically. For analyzing, with these large amount of data and making it …

To perform the airline services analysis it is difficult to gather the data by means of
questionnaire investigation as it is both labour and time consuming. Using information …

Women all around the world are affected by the endocrine condition known as polycystic
ovary syndrome (PCOS). There is still a need for comparative research to find variations in …

The current study introduces an advanced system that utilizes machine learning
methodologies to accurately detect and categorize pneumonia cases from chest X-ray …

The widespread transmission of dangerous online information is one notable concern raised
by the rise in internet usage among people from a variety of cultural and educational …

In the rapidly evolving field of medical diagnostics, the integration of deep learning (DL) and
machine learning (ML) technologies has dramatically advanced the accuracy and efficiency …

This research introduces a novel technique for predicting web user access paths based on
Recognition with Recurrent Neural Network (RNN). The study focuses on utilizing user …

There are millions of people throughout the globe who are dealing with the degenerative
neurological ailment known as Parkinson's disease (PD). Improving patient outcomes …

This research presents a novel approach for detecting news events using big data
processing techniques. The proposed method involves four key steps: crawling news data …

The AI-powered conversational agent known as ChatGPT has received significant attention
due to its exceptional performance in natural language processing tasks and its exponential …