Computing.- A Lightweight Block Cipher for Cloud-Based Healthcare Systems.- Developing a Cloud Intrusion Detection System with Filter-based Features Selection Techniques and SVM Classifier.- A Study on Effect of Learning Rates Using Adam Optimizer in LSTM Deep Intelligent Model for Detection of DDoS Attack to Support Fog Based IoT Systems.- Comparative Study of Workflow Modeling Services Based on Activity Complexity.- Granular Access Control of Smart Contract Using Hyperledger Framework.- Cyclomatic Complexity Analysis for Smart Contract Using Control Flow Graph.- An Improved GWO Algorithm for Data Clustering.
- Anticipation of Heart Disease using Improved Optimization Techniques.- Decentralized Energy Management in Smart Cities using Blockchain Technology.- Design and FPGA Realization of An Energy Efficient Artificial Neural Modular Exponentiation Architecture.- Comparative Analysis of Power Management System for Microbial Fuel Cell.- Communication.- Localized Hop-count based Routing (LHR) Protocol for Underwater Acoustic Sensor Networks.- Underwater Acoustic Sensor Networks' Performance Evaluation Tool (UASN-PET) for UnetStack.- Zero Watermarking Scheme Based on Polar Harmonic Fourier Moments.
- Dual Image Watermarking Technique using IWT-SVD and Diffie Hellman Key Exchange Algorithm.- A Communication-Efficient Federated Learning: A Probabilistic Approach.- Learning.- Pavement Distress Detection using Deep Learning based Methods: A Survey on Role, Challenges and Opportunities.- Performance Enhancement of Animal Species Classification using Deep Learning.- Intelligent Intrusion Detection System using Deep Learning Technique.- Rice Leaf Disease Detection and Classification using a Deep Neural Network.- Training Scheme for Stereo Audio Generation.
- A Machine Learning Approach for Classification of Lemon Leaf Diseases.- Optimization of Random Forest Hyperparameter using Improved PSO for Handwritten Digits classification.- Risk Identification using Quantum Machine Learning for Fleet Insurance Premium.- An Improved Machine Learning Framework for Cardiovascular Disease Prediction.- Telecommunication Stocks Prediction Using Long Short-Term Memory Model Neural Network.