Continuous dynamical systems with different nonlinear terms can show rich dynamical
characteristic, which can be presented and verified in nonlinear oscillators. Reliable …

In neuroscience, there is considerable current interest in investigating the connections
between different parts of the brain. EEG is one modality for examining brain function, with …

The article discusses the possibility of synchronizing adaptive discrete chaotic maps through
the control of the symmetry coefficient. Since a change in the symmetry coefficient in …

Achieving robustness against adversarial attacks while maintaining high accuracy remains a
critical challenge in neural networks. Parameter quantization is one of the main approaches …

Reservoir computing is a brain-inspired machine learning framework for processing
temporal data by map** inputs into high-dimensional spaces. Physical reservoir …

A flash-based dynamic reservoir computing (RC) system is proposed. It is demonstrated that
after applying a high bias voltage, the flash memory shows nonlinear transform and short …

The entropy-based fault complexity characterization method has garnered significant
attention in recent times, owing to its effectiveness and superiority in monitoring the health …

Radio Frequency Identification (RFID) technology is widely utilized by businesses,
organizations and wireless communication systems. RFID technology is secured using …

Steganography is defined as the art of hiding secret information. It is used to guarantee
information accessibility only by authorized parties. The least-significant bit (LSB) approach …

In cryptography fields, one concern is the consideration of the capacity of the resource,
especially, in environments that run IoT devices. This paper presents a lightweight and …