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 …

Frequent itemset mining (FIM) aims to extract interesting patterns from databases, to gain
insights to support business decisions or provide higher-quality services. Nowadays, to …

In this paper, we have worked on to improve the overall accuracy and the individual
accuracies of the given gestures before develo** the sign language gestures prediction …

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 …

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 …

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 …

By emulating the design and operation of the human brain, neuromorphic computing
promises to close the gap between artificial intelligence and brain-inspired technologies …

This research presents a novel approach for fine granularity image analysis by combining
bilinearity fusion features and learning methods. A depth convolutional network model …

The difficult subject of automatic recognition has attracted a lot of interest lately since it has
so many uses in so many different industries. Face recognition is one of those difficult …