Deep Learning

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A Deep Learning-Based Efficient Firearms Monitoring Technique for Building Secure Smart Cities

₹5,500.00

Aim:           The aim of this study is to detect weapon by employing YOLO v8, focusing on better accuracy.Abstract:          This research introduces an advanced approach utilizing YOLO v8 for more accurate and efficient firearm and weapon detection in t..

A Deep-Learning-Based Lightweight Model for Ship Localizations in SAR Images

₹5,500.00

Aim:To automate the detection of presence of ships and to classify the types of ships available in the given Image.Introduction:Ship detection has broad applications in many areas, including fishery management, maritime rescue, and maritime monitoring. Recently, numerous detectors based on deep learning have been carried in ship detection in synthe..

A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images

₹5,500.00

Aim:          To detect and identify the Diabetic disease detection using Deep-Learning techniques.Abstract:           In the field of diabetic retinopathy detection, this study introduces a novel, lightweight, and robust deep learning model that achieves rema..

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..

A System Design With Deep Learning and IoT to Ensure Education Continuity for Post-COVID

₹5,500.00

Aim:          Ensure education continuity for post-covid it used to make a attendance for a student with face detection and ensure student were a mask.  Abstract:          Deep learning-based comprehensive study to reduce the effects of COVID-19 on the ed..

An Integrated Multi-Task Model for Fake News Detection

₹5,500.00

Aim:             To enhance the assigning accuracy of former methods in fake news detection using advanced methods.Abstract:           We are in the age of information, everytime we read a piece of information or watch the news on TV, we look fo..

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 Detection and Classification Using Convolutional Neural Network (CNN)

₹5,500.00

Aim:                To detect and identify the Brain Tumor using Deep-Learning techniques.Abstract:               Medical image processing is that the one among the foremost demanding and promising field nowada..

Brain Tumor Detection and Classification Using Intelligence Techniques An Overview

₹5,500.00

Aim:         To detect and identify the Brain Tumor using Deep-Learning techniquesAbstract:       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 t..

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..

Comparative Analysis of Vehicle-Based and Driver-Based Features for Driver Drowsiness Monitoring by Support Vector Machines

₹5,500.00

Aim:           This paper aim to detect Driver Drowsiness Detection by using support Vector Machines.Abstract:      Driver drowsiness is a serious threat to road safety. Most driver monitoring systems (DMSs) already embedded in vehicles to detect drowsiness use vehicle-based feat..

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 Learning-Based Workers Safety Helmet Wearing Detection on Construction Sites Using Multi-Scale Features

₹5,500.00

Abstract:             Due to a lack of knowledge about safety helmets, accidents and injuries on construction sites are now increasingly common. Worker supervision by hand is challenging and ineffective. Workers often take off the helmets because of weak security-conscious and discomfort, then ..

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