Showing 13–24 of 64 results

Brain Tumor Detection and Classification Using Intelligence Techniques An Overview

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

Canine Skin Disease Classification Using Convolutional Neural Networks (CNN)

5,500.00
Aim: To develop a custom Convolutional Neural Network (CNN) model for accurately classifying seven common canine skin diseases, thereby improving diagnostic precision and supporting veterinary care.

CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection

5,500.00
To develop an efficient image forgery detection system using deep learning, leveraging transfer learning models such as ConvNeXt and ResNet to enhance accuracy. The project focuses on designing a robust system that can detect forged images with high precision and recall.

Coffee Bean Defects Automatic Classification Realtime Application Adopting Deep Learning

5,500.00
Aim: The aim of this project is to propose an efficient, real-time system for automatic classification of coffee bean defects using the YOLOv8 deep learning model.

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

5,500.00
Aim: Ā Ā Ā Ā Ā  This paper aim to detect Driver Drowsiness Detection by using support Vector Machines. Abstract: Ā Ā Ā Ā  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: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Brain is the controlling unit of human

Deep Convolutional Neural Network for Fire Detection

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

Deep Ensemble Machine for Video Classification

4,000.00
Abstract:         Video classification has been extensively researched in computer vision due to its wide spread use in many important applications

Deep Fake Video Detection Using Transfer learning

5,500.00

Aim:

Ā Ā Ā Ā Ā  To enhance deep fake detection by extracting facial features using FaceNet512 and training these features with transfer learning models. Upon detecting deep fake content, the system will automatically send an email alert with the manipulated image.

Deep Learning Technique to detect Brain tumor disease using YOLOv8

5,500.00
Aim: The aim of this research is to develop a more effective and efficient brain tumor segmentation system using the YOLOv8 architecture.