This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …

Green energy is very important for developing new cities with high energy consumption, in
addition to helping environment preservation. Integrating solar energy into a grid is very …

The application of deep learning in autonomous vehicles has surged over the years with
advancements in technology. This research explores the integration of deep learning …

This work aims to provide an innovative solution to enhance the accessibility of images by
an innovative image to text to speech system. It is applied to Hindu and Christian divine …

The huge growth in the number of vehicles is causing serious traffic management problems.
Existing roads must handle traffic more than expected which presents serious challenges …

A novel deep learning-based hybrid Harris hawks with sine cosine approach for credit card
fraud detection Page 1 AIMS Mathematics, 8(10): 23200–23217. DOI: 10.3934/math.20231180 …

Renewable energy is becoming a trusted power source. Energy forecasting is an important
research field, which is used to provide information about the future power generation of …

In recent years, service robots have been widely used in people's daily life, and with the
development of more and more intelligence, people put forward higher requirements for …

Indoor scene recognition poses considerable hurdles, especially in cluttered and visually
analogous settings. Although several current recognition systems perform well in outside …

An end-to-end methodology for training convolutional neural networks (CNN) is proposed in
this paper for multi class classification of mobile robots using pre-trained weights. Object and …