Image classification is widely used in different domains such as autonomous driving and
medical care, etc. In this paper, we focus on using deep learning model to identify image …

Image categorization is an important task in the field of Artificial Intelligence. Deep
reinforcement learning (DRL) algorithms are effective for image categorization, especially in …

While early detection of diseases helps in managing and improving patient outcomes, most
detection methods employed today are largely manual, costly, and time-consuming …

Fruit quality assessment is paramount in the food industry and significantly influences
storage conditions and duration. Classifying citrus fruits early is cru-cial for all agricultural …

During the production of a PolyTetraFluoroEthylene (PTFE) emulsion, it is crucial to detect
the separation between the PTFE emulsion and liquid paraffin in order to purify the PTFE …

Malignancy is the most dangerous disease that causes higher fatality rate among humans.
Albeit, different malignancy found in recent times, skin cancer is considered as highly …

In this paper, we introduce an adaptive headlight control system using reinforcement
learning to overcome challenges faced in the automobile industry. The project aims to ease …

Nowadays, artificial intelligence is being considered a potential solution for various
problems, including classification and regression optimization, in different fields such as …

This thesis covers image-based waste classification using machine learning and discusses
its impact on sustainable waste management. To identify the optimal model, the prediction …