Showing all 5 results

DeepSkin A Deep Learning Approach for Skin Cancer Classification

5,500.00
Aim:             To design and develop Deep Learning Model that enable early and accurate diagnosis of skin lesions, improving the

Detection of Apple Plant Diseases Using Leaf Images Through Convolutional Neural Network

5,500.00
Aim:             To address the challenges associated with detecting apple plant leaf diseases using deep learning based models. Synopsis:            

Detection of Tomato Leaf Diseases for Agro Based Industries Using Novel PCA DeepNet

5,500.00
Aim:             To address the critical issue of detecting tomato leaf diseases in agriculture by leveraging advanced techniques in Deep

Leaf Disease Detection Based on Lightweight Deep Residual Network and Attention Mechanism

5,500.00
Aim:             To address the significant challenge of identifying plant diseases using deep Residual Network. Synopsis:             The proposed work

Sign Explainer An Explainable AI Enabled Framework for Sign Language Recognition With Ensemble Learning

5,500.00
Aim:          To enhance the accuracy, robustness and interpretability of sign language recognition system Synopsis:          Sign Language recognition is