Showing all 12 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

ATT Squeeze U-Net A Lightweight Network for Forest Fire Detection and Recognition

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

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 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

Human Activity Recognition Through Ensemble Learning of Multiple Convolutional Neural Networks

5,500.00
Aim:                This paper aim to classify the different types of videos using deep learning framework with convolution neural network

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

Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks

5,500.00
Aim: To predict the high demand need of pickup location for taxi services based on their previous history.   Synopsis: