This paper presents a hybrid deep-learning approach to malware detection that employs the use of a diverse set of eight unique malware datasets. Figure 1 shows a visual illustration of the process of the proposed paradigm. Figure 1 Proposed BEFSONet malware detection model. In the first step, the datasets are loaded into data frames and …
Kudryashov, N. A. Analytical solutions of the Lorenz system. Regul. Chaotic Dyn. 20(2), 123–133. https://doi.org/10.1134/S1560354715020021 (2015). Article ADS MathSciNet Google Scholar Bougoffa, L., Al-Awfi, S. & Bougouffa, S. A complete and partial integrability technique of the Lorenz system. Res. Phys. 9, 712–716. https://doi.org/10.1016/j.rinp.2018.03.031 (2018). Article Google Scholar Algaba, A., Fernández-Sánchez, F., Merino, M. & Rodríguez-Luis, …
Classical reservoir computing We start with a nonlinear dynamical network of N variables of the following general form, $$\dot{{{{{{{{\bf{x}}}}}}}}}(t)={{{{{{{\boldsymbol{f}}}}}}}}[{{{{{{{\bf{x}}}}}}}}(t)],$$ (1) where \({{{{{{{\bf{x}}}}}}}}(t)={[{x}_{1}(t),\ldots,{x}_{N}(t)]}^{\top }\) denotes the N-dimensional (N-D) state of the system at time t, and \({{{{{{{\boldsymbol{f}}}}}}}}[{{{{{{{\bf{x}}}}}}}}(t)]={\left({f}_{1}[{{{{{{{\bf{x}}}}}}}}(t)],{f}_{2}[{{{{{{{\bf{x}}}}}}}}(t)],\ldots,{f}_{N}[{{{{{{{\bf{x}}}}}}}}(t)]\right)}^{\top }\) is the N-D nonlinear vector field. In this article, we assume that neither the vector field f (equivalently, …
Recommender system architecture At present, the mainstream recommendation system architecture mainly includes four parts: the underlying basic data, the storage of data analysis, the recommendation calculation, and the business application25. In Fig. 1, Date-base is mainly used to store the underlying basic data and the profile and feature information obtained by analyzing the basic data and …
Operating principle The basic operating principle is outlined in Fig. 1. Data is first encoded in the time domain as a series of optical pulses. This pulse train is then injected into an optical fiber where it is partially reflected by a series of Rayleigh scattering centers. This distributed backscattering process randomly mixes the elements in …
This section details the SRAIOT to improve communication security in the IoT structure. In SRAIOT, SDN creates a secure communication platform between network things. In this case, the network structure is divided into a set of subnets. The members of each subnet will be highly similar in terms of position and movement pattern, and this …
Optimization tasks are at the heart of many real-world applications across a variety of scientific disciplines, particularly in physics and engineering. From the seemingly simple task of swinging up a pendulum to the complex maneuver of a spacecraft swingby, these tasks demand a sophisticated and accurate understanding of various interconnected factors. At the core of …