Python
Blockchain and FL-Based Secure Architecture for Enhanced External Intrusion Detection in Smart Farming
Aim:
The aim of this research is to develop a secure, scalable, and privacy-preserving architecture for smart farming systems by integrating blockchain, federated learning, and ensemble learning techniques to enhance the detection of external intrusions while ensuring data authenticity, confidentiality, and decentralized decision-making.
Blockchain-based Anti-Counterfeit Product Identification System
Blockchain-based Decentralized Trust Management System using vehicular networks
Blockchain-Based Secure and Efficient Secret Image Sharing with Outsourcing Computation in Wireless Networks
BMNet-5: A Novel Approach of Neural Network to Classify the Genre of Bengali Music Based on Audio Features
Brain Tumor Detection and Classification Using Intelligence Techniques An Overview
Brain Tumor Identification and Classification of MRI images using deep learning techniques
Brain tumor segmentation and its area calculation in brain MR images using K-mean clustering and Fuzzy C-mean
BSFR-SH: Blockchain-Enabled Security Framework against Ransomware Attacks for Smart Healthcare
Canine Skin Disease Classification Using Convolutional Neural Networks (CNN)
