Showing 25–36 of 53 results

Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  The aim of this research is to enhance the detection of cardiovascular diseases in ECG images using advanced

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: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Accidents are

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

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

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: Ā Ā Ā Ā Ā Ā Ā Ā  Diabetic Retinopathy is

Evolving Malware and DDoS Attacks: Decadal Longitudinal Study

5,500.00
Aim: To enhance DDoS attack detection by implementing a machine learning system with hyperparameter optimization and advanced prediction techniques, utilizing the CICIDS dataset to achieve high classification accuracy and improve network security.

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

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

Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP

5,500.00
Aim: To develop an enhanced LULC classification system using ResNet50v2 for better accuracy and LIME for explainability, while minimizing computational resource requirements.

Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  To detect the plant leaf disease and to recommend the crop using Machine and Deep learning. Abstract: Ā 

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

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