Due to the rapid expansion and advancements of computer network, security has become a vital issue for modern computer network. The network intrusion detection systems play the vital role in protecting the computer networks. So, it has become a significant research issue. In spite of notable progress in intrusion detection system, there are still many opportunities to improve the existing syste...

The outputs of non-linear feed-forward neural network are positive, which could be treated as probability when they are normalized to one. If we take Entropy-Based Principle into consideration, the outputs for each sample could be represented as the distribution of this sample for different clusters. Entropy-Based Principle is the principle with which we could estimate the unknown distribution ...

The purpose of this study is to evaluate the performance analysis of multilayer feed forward neural networks trained with back propagation algorithm & descent gradient Radial basis function network for the pattern classification of hand written curve script. This analysis has been done for handwritten text of three letters and for the individual English vowels. This analysis in the performance ...

The Covid-19 pandemic has resulted in all activities having to be carried out by implementing physical distancing or social accordance with health protocols for mutual safety. government encourages people do more at home, including shopping. Consumer perception of purchasing goods online is a process evaluating various alternatives and choosing one alternative purchase using internet media. app...

Abstract Accurate network traffic classification is an essential and challenging issue for wireless management survivability. Existing algorithms, on the other hand, cannot meet required specifications of real networks' in terms user privacy control overhead, latency, above all, speed. For classification, machine learning‐based hybrid optimization techniques have been deployed. This paper takes...

Observation in absolute darkness and daytime under every atmospheric situation is one of the advantages of thermal imaging systems. In spite of increasing trend of using these systems, there are still lots of difficulties in analysing thermal images due to the variable features of pedestrians and atmospheric situations. In this paper an efficient method is proposed for detecting pedestrians in ...

The present paper, deal with energy modeling and optimization of developed mathematical of high temperature fuel cell, e.g. Molten Carbonate Fuel Cell (MCFC). In the present w o r k d e v e l o p e d mathematical model of molten carbonate fuel [1]. Codes for the MCFC single cell stack model have been generated using the MATLAB software. Using the developed Mathematical model, various parameters...

Margin-Based Principle has been proposed for a long time, it has been proved that this principle could reduce the structural risk and improve the performance in both theoretical and practical aspects. Meanwhile, feed-forward neural network is a traditional classifier, which is very hot at present with a deeper architecture. However, the training algorithm of feed-forward neural network is devel...

At present data transmission widely uses wireless network framework for transmitting large volume of data. It generates numerous security problems and privacy issues which laid a way developing IDS. IDS act as preventive technique in securing computer networks. Previously there are metaheuristic deep learning algorithms used detecting threats. Some affected by dynamic growth feature spaces othe...