Abstract This paper studies on methods taken in solving the existing network disorders in network intrusion detection. Traditional parameter-optimized Support Vector Machine (SVM) may easily generate improper parameter-selections, and may further lead to a low accuracy in network intrusion detection. In order to overcome such problems, so well as to ensure the network security, this paper tries...

In this paper, we are converting AODV (Adhoc On-demand Distance Vector) protocol in to an efficient routing algorithm called EORP (Efficient on-demand routing protocol) for mobile ad-hoc networks with a route establishment technique using Bayesian approach. A mobile ad-hoc network (MANET) is a self-configuring infrastructure less network of mobile devices connected by multihop-communication pat...

As it is the seventh most-spoken language and fifth native in world, domain of Bengali handwritten character recognition has fascinated researchers for decades. Although other popular languages i.e., English, Chinese, Hindi, Spanish, etc. have received many contributions area recognition, not noteworthy this because complex curvatures similar writing fashions characters. Previously, studies wer...

Remote patient tracking has recently gained increased attention, due to its lower cost and non-invasive nature. In this paper, the performance of Support Vector Machines (SVM), Least Square Support Vector Machines (LS-SVM), Multilayer Perceptron Neural Network (MLPNN), and General Regression Neural Network (GRNN) regression methods is studied in application to remote tracking of Parkinson’s dis...