Distributed Denial of Service (DDoS) attacks are one of the most significant challenges in
network security, especially in the Software-Defined Network (SDN) environment, due to the …

In-vehicle communication has been optimized day to day to keep updated of the
technologies. Control area network (CAN) is used as a standard communication method …

This project explores music genre differentiation using the GT-ZAN dataset, comprising ten
genres. Ten classical machine learning models, including KNN, SVM, and Cross Gradient …

Cancer classification is in the spotlight of research in the medical domain; genetic
inheritance plays a significant role in causing this condition. Certain similarities in DNA …

In complex and unknown processes, global models are initially generated over the entire
experimental space, but they often fail to provide accurate predictions in local areas …

With the demand of protective necessity of underwater environment and infrastructures, it is
high time for the technological advancement towards intelligently monitoring and ensuring …

Nowadays in electricity markets where purchases and sales are made through bids. Many
times, firms may collude, leading to inflation of market prices. A neural network-based …

Load balancing is an essential technique for distributing workload among various computing
resources, optimizing resource consumption, increasing throughput, reducing response …

Cyber-attacks are increasing day to day in this world of AI and Internet. A ML model to detect
the network attack based on the network parameters is of great use. The proposed model …

Chemistry 4.0 is the new era of chemical process industry, where digitalization,
modularization, sustainability, and circular economy play key roles. A growing interest in the …