Showing 1–12 of 37 results

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:

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

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

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

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

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

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 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

Brain Tumor Detection and Classification Using Intelligence Techniques An Overview

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

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.

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

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