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NnDPI: A Novel Deep Packet Inspection Technique Using Word Embedding, Convolutional and Recurrent Neural Networks

Traffic Characterization, Application Identification, Per Application Classification, and VPN/Non-VPN Traffic Characterization have been some of the most notable research topics over the past few years. Deep Packet Inspection (DPI) promises an increase in Quality of Service (QoS) for Internet Service Providers (ISPs), simplifies network management and plays a vital role in content censoring. DPI

Comparative Analysis of Various Machine Learning Techniques for Epileptic Seizures Detection and Prediction Using EEG Data

Epileptic seizures occur as a result of functional brain dysfunction and can affect the health of the patient. Prediction of epileptic seizures before the onset is beneficial for the prevention of seizures through medication. Electroencephalograms (EEG) signals are used to predict epileptic seizures using machine learning techniques and feature extractions. Nevertheless, the pre-processing of EEG
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A Queueing Theory Approach for Maximized Energy Efficiency Traffic Offloading

Traffic offloading is considered a promising solution to relieve the explosive congestion of future cellular networks. Existing works in the literature focus on increasing the number of offloaded users. Nevertheless, users' traffic load plays a critical role in having the ability to relay the data intended for the cellular users. In this paper, we consider the traffic offloading problem in a

Wastewater Treatment Model with Smart Irrigation Utilizing PID Control

In this paper the activated sludge wastewater treatment process is modeled mathematically and explored. In addition, irrigation was recommended as a valid application for the reuse of wastewater. Other wastewater treatment processes (WWTP) were compared to the one chosen to justify the choice and a detailed expiation of the general wastewater treatment process was provided. Furthermore, PI, and

Modeling the effect of population density on controlling Covid-19 initial Spread with the use of MATLAB numerical methods and stringency index model

The effect of population density on the initial spread of the novel Covid-19 virus has been evaluated using the numerical data of fifty pioneer adopting countries in their first thirty days experience with the disease. The fifty countries were curdled into ten groups that each of them possesses an average population density and each group's virus's spread was modeled in a two-dimensional graph

Experimental Kinematic Modeling of 6-DOF Serial Manipulator Using Hybrid Deep Learning

According to its significance, robotics is always an area of interest for research and further development. While robots have varying types, design and sizes, the six degrees of freedom (DOF) serial manipulator is a famous robotic arm that has a vast areas of applications, not only in industrial application, but also in other fields such as medical and exploration applications. Accordingly
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Generalization of third-order low pass filters to the fractional-order domain with experimental results.

This paper is concerned with the generalization of continuous-time 3rd order low-pass filters to the fractional order domain. Three fractional-order capacitors of the same order α are to be considered in the process of filter design. A complete mathematical analysis of the 3rd order fractional low-pass filter is given with stability constraints taken into consideration. Finally, several low-pass

Modelling of Continuum Robotic Arm Using Artificial Neural Network (ANN)

Continuum robotic arm becomes the new area of scientific research nowadays. Its technology has grown and touched several vital applications included industry and agriculture thanks to many advantages made it a better choice than the conventional serial robotic manipulator. This paper represents a new designed model of continuum arm robot, which relates the motor shaft angle as the input parameter

Private communications method based on chua's chaotic system

In this paper a simple private communications system is proposed based on Chua's chaotic system. The system mainly consists of two synchronized chaotic circuits, the system encodes values to a message function according to the state of synchronization between the two circuits. Numerical simulations were carried out to prove the validity of the system, and spice simulations were carried out on the
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Design and Numerical Analysis of an Open-Circuit Low-Speed Wind Tunnel

The design and numerical analysis of a 3D open-circuit, low-speed, with a maximum velocity of 20 m/s in the test section, wind tunnel is presented. Two diffusers' angels are numerically tested in order to reduce the pumping power of the fan. The proposed design is analyzed using three-dimensional, turbulent, incompressible flow using ANSYS FLUENT. Numerical results show that the velocity as well