Showing all 10 results

A Rotational Libra R-CNN Method for Ship Detection

5,500.00
Aim:      To automate the detection of presence of ships and to classify the types of ships available in the

Brain Tumor Identification and Classification of MRI images using deep learning techniques

5,500.00
Aim: To detect and identify the Brain Tumor using Deep-Learning techniques  Abstract: Brain is the controlling unit of human body.

Convolution neural network based enhanced computerized Technique for brain tumour detection

5,500.00
Aim:            To detect and identify the Brain Tumor using Deep-Learning techniques Synopsis:           Brain is the controlling unit of

Deep Convolutional Neural Network for Fire Detection

5,500.00
Aim:           To efficient RCNN based system for fire detection in videos captured in uncertain surveillance scenarios Synopsis:             Vision

Deep Ensemble Machine for Video Classification

4,000.00
Abstract:         Video classification has been extensively researched in computer vision due to its wide spread use in many important applications

Deep Neural Architecture for Face mask Detection on Simulated Masked Face Dataset against Covid-19 Pandemic

5,500.00
Aim:               To apply the Deep Learning techniques based on convolution neural network improving the face mask detector accuracy. Synopsis:

Driver-Drowsiness Detection System Using Facial Features

5,500.00
Aim:             This paper aim to detect Real time driver’s fatigue state using Convolutional Neural Network (CNN) Synopsis:           Accidents

Efficient Classification Of Diabetic Retinopathy Using Binary Cnn

5,500.00
Aim: To detect the diabetic retinopathy disease in the earlier stage using Deep learning method Synopsis: Diabetic Retinopathy is a

Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence

5,500.00
Aim:             To detect the plant leaf disease and to recommend the crop using Machine and Deep learning. Abstract:             

Plant Disease Detection and Classification by Deep Learning: A Review

5,500.00
Aim:            To detect the plant leaf diseases using convolutional neural network for high accuracy detection. Synopsis:           Identification of