Work

Performance Analysis of CMOS Full Adder Using Machine Learning

Year: 2024

Type: conference-paper

Source: International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)

DOI: 10.1109/icetems64039.2024.10964994

Authors: Kausar Fakir, Sudhakar Mande

Institution: Don Bosco Institute of Technology

Language: English

Topic: Low-power high-performance VLSI design

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4409660442

FWCI: 0.781

Cites: 20

Cited by: 1

Related to: 10