The development of new technologies has led to an explosion of data, while the
computation ability of traditional computers is approaching its upper limit. The dominant …

A revision of the different numerical techniques employed to extract resistive switching (RS)
and modeling parameters is presented. The set and reset voltages, commonly used for …

The emerging global environmental crisis, intensified by global warming, necessitates a
deeper understanding of climate variations, especially in critical geographical divisions like …

For complex and multi-layered clastic oil reservoir formations, modeling lithofacies and
petrophysical parameters is essential for reservoir characterization, history matching, and …

The bottom surface's portrayal is crucial in many different practices. Therefore, accurate
bathymetry data is required. The interpolation method is one element that influences the …

The three-deck vibrating screen can separate the material into various particle sizes. There
are a few types of researchers on the screening efficiency and processing capacity of …

This work introduces a spike-based wearable analytics system utilizing Spiking Neural
Networks (SNNs) deployed on an In-memory Computing engine based on RRAM crossbars …

Emerging technologies based on resistive switching (ReRAM) devices promise to improve
the speed and energy efficiency of next generation machine learning accelerators, but …

Recently, researchers have demonstrated multiple-bits-per-cell (MBPC) data storage using
resistive random access memory (RRAM) device technologies. In MBPC storage, a level …

A two-tier multivariate-kriging interpolation method is proposed as a computationally efficient
approach to model hafnia-based FeFET devices. We investigate how well this data-driven …