Advanced Network Technologies and Computational Intelligence

- Advanced Network Technologies Advanced Network Technologies.

.- Robust Network Intrusion Detection System Using VGG16, Autoencoder,and Random Forest For Enhanced Cybersecurity In IOT.

.- Impact of Divergent Vehicle's Speed on Vehicular Ad-Hoc Network Routing Protocols Analysis.

.- Revolutionizing GST Collection: A Blockchain-Backed Platform for Security and Efficiency.

.- SCADA Aided Architecture for Remote Monitoring in Solar Irrigation Systems.

.- A Comprehensive Approach for Heart Patient Monitoring and Prevention Using IOT and Blockchain Technology.

.- A Critical Study for Efficient and Reliable Routing Protocols for WBAN-integrated Health Monitoring Systems.

.- Blockchain-Enhanced Energy-Efficient Architectures for Sustainable Internet of Things Ecosystems.

.- Post-Quantum Secure Hardware and Infrastructure for AR/VR Metaverse Application.

.- Systematic Advancements in IoT: Integrating Edge Computing for Enhanced Architectures in Next-Generation Devices.

.- Detection of Knee Osteoarthritis From Magnetic Resonance Imaging Using A 3-D Independent Component Analysis Method In Machine Learning.

.- Quantum-Resistant Digital Rights Management (DRM) for Protecting Intellectual Property in ARVR Metaverse Content.

.- Computational Intelligence.

.- Machine Learning-Driven Anomaly Detection in Blockchain Transactions for High-Security Digital Banking.

.- Innovative Integration of Machine Learning Predictive Models within Blockchain Frameworks for Supply Chain Fault Tolerance .

.- Quality Model for Cloud Service Providers Using ANFIS Method.

.- Machine Learning in the Nick of Time for Sophisticated Cybersecurity Threat Detection.

.- Cognitive Computation through Machine Learning Models for Real-Time Traffic Management.

.- Transfer Learning-based Semantic Segmentation of Hippocampus in Magnetic Resonance Brain Image.

.- Blockchain Enhanced Security and Exchange of Electronic Health Records.

.- Computational Intelligence Approach for an Intrusion Detection System.

.- Performance Evaluation of Existing Deep Learning Models for the Detection of 'Man-In-The-Middle' Attacks on IoT Network.

.- Malaria Detection with Multi-Stage Recognition using Neighbor Sample Joint Learning and Deep Learning Techniques.

.- Early Classification of Lung Cancer Based On Cell Morphology Features.

.- A Logical Language for Reasoning about Democratic Decision-Making.

.- Selecting an Academic Cloud Scheme Based on the Investment Model of a Differential Game of Quality.

.- Hybrid Time-Frequency Domain Analysis for Cardiovascular Disease Forecasting over ECG Data.

.- Esophageal Cancer Diagnosis with a Bilinear Pooling and Attention-Based Convolutional Neural Network.

.- Data Science in Healthcare- A Bibliometric Study and Analysis.

.- Graph Convolutional Networks for Improved Motor Imagery Recognition.

.- A Survey of Quantum Algorithms For Computer Science.

.- A Review of Obstacles and Emerging Solutions in Computer Vision.

.- Spear or Shield: Mastering the Art of Gen-AI in Face Recognition.

.- A Synthesis of Approaches in Sign Language Communication Research: Trends and Future Directions.

.- Quantitative Measurements of Renal Obstruction Using Image Extraction Approaches for 99mTc-MAG3 Renal Radiotracer.

.- A Review of Location Prediction Approaches in Ubiquitous Computing: Applications, Challenges.

.- Develop a genetic algorithm to optimize intracranial electroencephalography (IEEG) using neural network architectures.

.- A Comparative Study of Various Human Activity Recognition Techniques Using Deep Learning.