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A Comparative Study of Deep Learning Networks for COVID-19 Recognition in Chest X-ray Images

₹5,500.00

Aim:        To detect the COVID-19 using x-ray images by using Convolutional neural network. Abstract:            The Corona-virus 2019(COVID-19), which first occurs in Wuhan city of China in December 2019, spread quickly around the world and became a plague. Due to the r..

A Crop Pest Classification Model Using Deep Learning Techniques

₹5,500.00

Aim: To detect and classify large-scale multi-class pest using Convolution Neural Network. Synopsis: Regarding the growth of crops, one of the important factors affecting crop yield is insect disasters. Since most insect species are extremely similar, insect detection on field crops, such as rice, soybean and other crops, is more challenging than g..

A Lightweight Convolutional Neural Network for Real-Time Facial Expression Detection

₹5,500.00

Aim:           To recognize the real time facial expression using Deep learning technique.Abstract:            In today’s world, there is a tremendous increase in usage of machinery. The world needs machines to understand humans and interpret ac..

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 given Image.   Synopsis:        The detection of inshore and offshore ships is an essential task for a large variety of applications in both military and civilian fields. For example..

An Automated System to Limit COVID-19 Using Facial Mask Detection in Smart City Network

₹4,500.00

Aim:          To apply the Deep Learning techniques based on convolution neural network improving the face mask detector accuracy. Synopsis:            The corona virus disease 2019 (COVID-19) has globally infected over 2.7million people and caused over 180..

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 scenariosSynopsis:            Vision based fire detection framework has lately picked up popularity when contrasted ..

Automatic Detection and Monitoring of Diabetic Retinopathy Using Efficient Convolutional NeuralNetworks

₹5,500.00

Aim:             This paper aim to detect the diabetic disease identification using deep learning methods. Abstract: Diabetic Retinopathy is a complication of diabetes that is caused due to the changes in the blood vessels of the retina and is one of the leading causes of blindness in th..

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. It regulates the functions such as memory, vision, hearing, knowledge, personality, problem solving etc. The main reason for brain tumors is the uncontrolled development of brain cells. In medical practices..

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 techniquesSynopsis:           Brain is the controlling unit of human body. It regulates the functions such as memory, vision, hearing, knowledge, personality, problem solving etc. ..

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 based fire detection framework has lately picked up popularity when contrasted with cus..

Deep Ensemble Machine for Video Classification

₹5,500.00

Aim:             This paper aim to classify the different types of videos using deep learning framework with convolution neural network (CNN) Abstract:             Video classification has been extensively researched in compute..

Deep Learning based Automatic Multi-Class Wild Pest Monitoring Approach using Hybrid Global and Local Activated Features

₹5,500.00

Aim:             To detect and classify large-scale multi-class pest using Convolution Neural Network.   Synopsis:                Regarding the growth of crops, one of the important factors affecting crop yield is insect..

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:              The corona virus disease 2019 (COVID-19) has globally infected over..

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 are more due to the driver’s drowsiness; it has been recorded that more than 40% of chances that acciden..

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 disease that can lead to partial or complete blindness. Research shows that it contributes around 5 percent of the total cases of blindness. Usually it takes about two weeks for the diagnosis of disease; time and money..

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