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.

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

LE-YOLO: Lightweight and Efficient Detection Model for Wind Turbine Blade Defects Based on Improved YOLO

5,500.00
Aim: To develop a lightweight and efficient detection model using YOLO-v8 for identifying wind turbine blade defects with improved accuracy and real-time performance.

Leaf Disease Detection Based on Lightweight Deep Residual Network and Attention Mechanism

5,500.00
Aim:             To address the significant challenge of identifying plant diseases using deep Residual Network. Synopsis:             The proposed work

Lung Nodule Detection in Medical Images Based on Improved YOLOv5

5,500.00
Aim: To enhance the YOLOv8 model for achieving high-performance object detection in medical imaging and other specialized applications.

Medical Chatbot

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā  To create a chatbot that predicts medical conditions from images and provides disease-specific information, treatment options, and patient

Multi-Fruit Classification and Grading Using a Same-Domain Transfer Learning Approach

5,500.00
To develop an advanced fruit classification and grading system using deep learning models (EfficientNetV2-B3, ResNet152V2, and ResNet50V2) for comparative analysis and to implement an alert mechanism for detecting bad-quality fruits.