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.