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...

In most of previous works on neural network based language models (NNLMs), the words are represented as 1-of-N encoded feature vectors. In this paper we investigate an alternative encoding of the word history, known as bag-of-words (BOW) representation of a word sequence, and use it as an additional input feature to the NNLM. Both the feedforward neural network (FFNN) and the long short-term me...

A mention may or may not be coreferred elsewhere in the document. Identifying those mentions that are corefered (called coreferents) is an important step in many NLP tasks, like coreference resolution. To classify a mention as singleton or coreferent using just one sentence is a challenging problem, but previous work suggests that there are cues in a sentence which can be used to predict if a m...

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...

Abstract The swelling of clay-sulfate rocks is a well-known phenomenon often causing threats to the success various geotechnical projects, including tunneling, road and bridge construction, geothermal drilling. origin usually explained by physical due clay expansion combined with chemical associated transformation anhydrite (CaSO 4 ) into gypsum ∙2H 2 O). latter occurs through dissolution subse...

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...

Utilization of membrane humidifiers is one of the methods commonly used to humidify reactant gases in polymer electrolyte membrane fuel cells (PEMFC). In this study, polymeric porous membranes with different compositions were prepared to be used in a membrane humidifier module and were employed in a humidification test. Three different neural network models were developed to investigate several...

In this paper, optimal control for stochastic nonlinear singular system with quadratic performance is obtained using neural networks. The goal is to provide optimal control with reduced calculus effort by comparing the solutions of the matrix Riccati differential equation (MRDE) obtained from the well-known traditional Runge–Kutta (RK) method and nontraditional neural network method. To obtain ...

Energy performance analysis in buildings is becoming more and highlighted, due to the increasing trend of energy consumption building sector. Many studies have declared great potential soft computing for this analysis. A particular methodology sense employing hybrid machine learning that copes with drawbacks single methods. In work, an optimized version a popular model, namely feed-forward neur...