Content Addressable Memories (CAMs) are high-speed hardware search engines that simultaneously perform a parallel search across the rows. This high speed comes at the cost of increased power. In CAMs, most of the power is ...

Lithium-ion (Li-ion) batteries are the preferred choice for energy storage applications. Li-ion performances degrade with time and usage, leading to a decreased total charge capacity and to an increased internal resistance. ...

Recent studies have shown that virtual gamified therapy can be a potential adjunct to conventional orthopedic rehabilitation. However, the off-the-shelf gaming consoles used for virtual rehabilitation pose several practical ...

The performance of conventional active noise control (ANC) systems degrades under non-Gaussian conditions. In the recent past, generalized filtered Maximum correntropy criterion (FxGMCC) algorithms has been widely used to ...

This study introduces a physics-based, SPICE-compatible model for Nanosheet Field-Effect Transistors (NsFETs) that offers explicit expressions for the drain current, terminal charges, and intrinsic capacitances applicable ...

The analysis of the distribution system in the presence of distributed generations (DGs) with conventional power flow tools poses a technical challenge owing to higher resistance to reactance ratio, unbalanced phases, and ...

We show that design optimizations, an integral but time-consuming component of optical engineering, can be significantly sped-up when paired with deep neural networks (DNNs). By using the DNN indirectly for choosing ...

This paper introduces an adaptive body biasing (ABB) technique for improving the transient response of the Digital Low-Dropout regulator (DLDO) during events of step increment in the load current demand. The proposed ABB ...

Direction of arrival (DOA) estimation using sensor arrays is a challenging task in noisy environments, especially when rapid convergence and efficient utilization of array elements are required. Addressing these challenges, ...

Low complexity and ease of implementation provided by zero-attraction-based least mean square (LMS) algorithms have made them popular candidates for sparse system identification. In this brief, a new sparsity aware norm ...