Design and evaluation of CNFET-based quaternary circuits
This paper presents novel high-performance and PVT tolerant quaternary logic circuits as
well as efficient quaternary arithmetic circuits for nanoelectronics. These Carbon Nanotube …
well as efficient quaternary arithmetic circuits for nanoelectronics. These Carbon Nanotube …
A Novel Hardware Solution for Efficient Approximate Fuzzy Image Edge Detection
F Behbahani, MKQ Jooq, MH Moaiyeri… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In practical fuzzy applications, such as image processing, the utilization of precise models in
hardware may not be the most efficient approach due to increased energy consumption and …
hardware may not be the most efficient approach due to increased energy consumption and …
A high-performance and ultra-efficient fully programmable fuzzy membership function generator using FinFET technology for image enhancement
MKQ Jooq, F Behbahani, AD Al-Shidaifat… - … -International Journal of …, 2023 - Elsevier
In fuzzy systems, efficient programmable membership function generators (MFGs) are the
canonical point for the fuzzification process. This work demonstrates a high-performance …
canonical point for the fuzzification process. This work demonstrates a high-performance …
Quaternary full adder cells based on carbon nanotube FETs
This study presents two quaternary full adder cells using multithreshold carbon nanotube
field effect transistors (CNTFETs). The first proposed design is based on quaternary …
field effect transistors (CNTFETs). The first proposed design is based on quaternary …
Ultra-efficient fuzzy min/max circuits based on carbon nanotube FETs
A Bozorgmehr, MH Moaiyeri, K Navi… - … on Fuzzy Systems, 2017 - ieeexplore.ieee.org
To implement a fuzzy system, the first and the most essential step is to design basic fuzzy
modules such as analog min and max circuits. This paper presents efficient minimum and …
modules such as analog min and max circuits. This paper presents efficient minimum and …
Energy-efficient magnetic approximate full adder with spin-Hall assistance for signal processing applications
As the technology node shrinks to the nanoscale, several challenges such as high power
density have become more critical. One of the most effective methods for addressing these …
density have become more critical. One of the most effective methods for addressing these …
A symmetric, multi-threshold, high-speed and efficient-energy 1-bit full adder cell design using CNFET technology
Y Safaei Mehrabani, M Eshghi - Circuits, Systems, and Signal Processing, 2015 - Springer
This paper presents two asymmetric and symmetric multi-threshold, high-speed, and energy-
efficient Full Adder cells using Carbon Nanotube Field Effect Transistors (CNFETs). The …
efficient Full Adder cells using Carbon Nanotube Field Effect Transistors (CNFETs). The …
A high-performance fully programmable membership function generator based on 10 nm gate-all-around CNTFETs
This paper presents a novel fully programmable membership function generator (MFG)
based on carbon nanotube field effect transistors (CNTFETs). The proposed CNTFET-based …
based on carbon nanotube field effect transistors (CNTFETs). The proposed CNTFET-based …
Gate-diffusion input (GDI) method for designing energy-efficient circuits in analogue voltage-mode fuzzy and QCA systems
In this work, CNTFET-based GDI (CNT-GDI) and QCA-based GDI (QCA-GDI) methods
(CNT/QCA-GDI) for designing unique ultra-efficient analogue and logical blocks in voltage …
(CNT/QCA-GDI) for designing unique ultra-efficient analogue and logical blocks in voltage …
Design of Analog Signal Processing Applications Using Carbon Nanotube Field Effect Transistor‐Based Low‐Power Folded Cascode Operational Amplifier
VS Bendre, AK Kureshi… - Journal of …, 2018 - Wiley Online Library
Carbon nanotube (CNT) is one of the embryonic technologies within recent inventions
towards miniaturization of semiconductor devices and is gaining much attention due to very …
towards miniaturization of semiconductor devices and is gaining much attention due to very …