Showing 13–22 of 22 results

Edge Fire Smoke A novel lightweight cnn model for Real Time video Fire smoke Detection

5,500.00
Aim:         The aim of this study is to address the escalating issue of wildfires on a global scale, particularly

Facemask Wearing Alert System Based on Simple Architecture With Low-Computing Devices

5,500.00
Aim:           To apply the Deep Learning techniques based on convolution neural network improving the face mask detector accuracy. Synopsis:

Facilitating Leucocyte Count Using Deep Learning A Paradigm Shift

5,500.00
Aim:           The aim of this paper is to develop an automatic white blood cell classification system using deep learning

House Price Prediction Using Machine Learning And Neural Networks

5,500.00
Aim:           Housing prices keep changing day in and day out and sometimes are hyped rather than being based on

Impact of Fuzziness for Skin Lesion Classification with Transformer-Based Model

5,500.00
Aim:       The primary objective of this project is to elevate the accuracy of skin lesion classification through the implementation

LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model

5,500.00
Aim:  To create a robust and accurate diagnostic tool employing Convolutional Neural Networks (CNNs) for the analysis of CT scan

Online Exam Proctoring System Based on Artificial Intelligence

5,500.00
Aim:  Achieving exam integrity through an AI-driven Smart Proctoring System for vigilant monitoring and prevention of malpractices in online assessments.

Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms

5,500.00
Aim:           We proposed detecting Sleep Apnea Detection From Single-Lead ECG. The advancement of smart wearables technologies has provided a

Toward Fast and Accurate Violence Detection for Automated Video Surveillance Applications

5,500.00
Aim:           To detect and identify the Violation detection using Deep-Learning techniques. Abstract:         The widespread deployment of surveillance cameras,

Traffic Signs Recognition using CNN and Keras

5,500.00
Aim:            To detect and identify the Traffic Signs detection using CNN.  Abstract:          Traffic sign recognition and detection are