Showing 1–12 of 16 results

A Rotational Libra R-CNN Method for Ship Detection

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

Accident Prevention and Detection System using IoT Integrated in an Electric Pole

Objective:           The mainstay of the project is to design and develop a system is to prevent accidents occurring due

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

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

Characterizing and Countering Communal Micro blogs During Disaster Events

Synopsis:            Social media reach is widespread such that information travels very fast without any geographical border or constrained. People

Convolution neural network based enhanced computerized Technique for brain tumour detection

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

Crop Yield Prediction based on Indian Agriculture using Machine Learning

Aim:           To be precise and accurate in predicting crop yield and deliver the end user with proper

Deep Convolutional Neural Network for Fire Detection

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

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

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

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

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

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