Advanced Network Technologies and Intelligent Computing

.- Advanced Network Technologies.
.- Performance Improvement for Energy-Efficient CSS with Optimized Cognitive Users over Fading Channels.
.- Optimizing WiMAX Network Performance with IP Security: An Evaluation of TCP and UDP Applications.
.- Enhancement of Security in Opportunistic Networks.
.- Design and Implementation of Smart Meter for Bilateral Transaction of Solar Energy.
.- Optimizing Task Completion Rate in Multi-User Edge Intelligence Networks through Neural Network-based Energy Management with Partitioning and Offloading.
.- Efficient Task Offloading in IoV using DDPG and MEC with RIS Support.
.- Vacation Recommendation System Using New York Times Articles.
.- Analysis of Different Measures of Centrality to Identify Vital Nodes in Social Networks.
.- Performance Analysis of Software-Defined Network (SDN) via POX Controller Simulation in Mininet.
.- Simulation and Comparison of BB84 and SSP99 QKD Protocols.
.- IoT and Machine Learning-based Monitoring of the Growth of Crops Using Blockchain Technology.
.- Determining the Impact of Metallic Obstacles on Blue-tooth Transmission to enhance Indoor Location Determination.
.- Optimizing Crop Yield through IoT-Based Smart Irrigation with Fuzzy Control.
.- Fusion of Chi-square and Z-test statistics for Feature Selection with Machine Learning Techniques in Intrusion Detection.
.- Smart Bakery: Technology and Automation.
.- An experimental study on Estimation of Reliability of a Computer Network for the network of Delhi Development Authority: A Study on Challenges, Experiment and its results, Potential Future Avenues and Significance of Ongoing Research.
.- An Effective Virtual Machine Allocation in Federated Cloud by PARAMR-DNN Technique.
.- Intrusion Watchdog: Enhancing Intrusion Detection System with Machine Learning using 3-way Feature Selection Technique.
.- Phishing URLs Detection Method using Hybrid Feature and Convolutional Neural Networks with Attention Mechanisms.
.- Exploring Multi-Attribute Selection Strategies for Effective Phishing Detection with Machine Learning.
.- Zero-day exploits framework of supply chain networks.
.- SMASK: Parallel Probabilistic Privacy-Preserving Frequent Pattern Mining Technique for Big Data.
.- SMAKMS_FC: Secure Mutual Authentication and Key Management Scheme for Fog Computing.
.- Comparative Analysis on Network Attack Prediction Used Deep Learning Approaches on Software Security Testing.
.- DNA-Based Elliptic Curve Cryptography for Data Security in IoT.