Approximate computing is an emerging approach for reducing the energy consumption and
design complexity in many applications where accuracy is not a crucial necessity. In this …

Approximate computing is a new paradigm for designing energy-efficient integrated circuits
at the nanoscale. In this paper, we propose efficient imprecise 4: 2 and 5: 2 compressors by …

Many researchers are trying to create a low power, high stability, and high-speed static
random access memory (SRAM) cell. This paper introduces an SRAM cell consisting of 12 …

Static random-access memories (SRAMs), which are the most ubiquitous in modern system-
on-chips, suffer from high power dissipation and poor stability in advanced complementary …

The internet of things (IoTs)-based systems require battery-enabled energy-efficient memory
circuits to operate at low voltage domain, especially below the transistor's threshold. This …

This paper aims to explore the design of a novel highly stable low-energy 10T (SLE10T)
SRAM cell for near-threshold operation. The latch core of the proposed design consists of a …

This paper proposes a modified Schmitt-trigger (ST)-based single-ended 11 T (MST11T)
SRAM cell. The proposed cell is best suited to ultra-low voltage applications. Two ST-based …

The SRAM cells are used in many biomedical applications such as Pace makers, ECG
devices, body area networks etc., where power consumption will be the main constraint. The …

Ternary logic uses fewer interconnects than binary logic, and smaller voltage swings are
required for the same information transfer. Carbon Nanotube transistors (CNFETs) have …

An innovative technology named FinFET (Fin Field Effect Transistor) has been developed to
offer better transistor circuit design and to compensate the necessity of superior storage …