This paper focuses on addressing the synchronization control problem of memristive chaos
through the investigation of a single feedback controller strategy. Our objective is to deploy …

Resource-constrained computing devices such as those used in IoTs require low-power,
high performance, and small size to be enabled to operate efficiently. Resistive random …

This article presents an ultra-high-speed memristor-based non-volatile Ternary Content
Addressable Memory (TCAM) for use in real-time and big-data applications that require low …

Spiking neural networks represent a transition from deep networks and tensor engines to
more dynamic systems better suited for carrying out decisions based on temporal patterns …

Dimensional and functional scaling 1 1 Functional Scaling: Suppose that a system has been
realized to execute a specific function in a given, currently available, technology. We say that …

The four‐wing memristive chaotic system used in synchronization is applied to secure
communication which can increase the difficulty of deciphering effectively and enhance the …

Computer vision and recognition is emerging as one of the important pillars in artificial
intelligence systems. It is a vital way to interpret the collected data and find matching …

Deep packet inspection (DPI) is a critical component to prevent intrusion detection. This
requires a detailed analysis of each network packet header and body. Although this is often …

Spiking neural network (SNN) hardware has gained significant interest due to its ability to
process complex data in size, weight, and power (SWaP) constrained environments …

Abstract Spiking Neural Networks (SNNs) are the third generation of neural networks that
incorporate the notion of time in their model. SNNs are starting to be deployed in …