Remora 优化动态神经网络设计低功耗 CNTFET 逻辑门实现多值电路

IF 1.7 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Components and Systems Pub Date : 2024-03-18 DOI:10.1080/15325008.2024.2326854

Sriram Sandhya Rani, Hameed Pasha Mohammad, Sheik Masthan

引用次数: 0

摘要

新数字技术的发展趋势要求处理器体积小、速度快、功耗低。先进的 5 G 技术要求使用更长的电池寿命、最大的...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Remora Optimized Dynamic Neural Network to Design Low-Power CNTFET Logic Gate Realization with Multiple-Valued Circuits

The emerging trend of new digital technology leads to the requirement of small, faster, and low-power consumed processors. The advanced 5 G technology forces the usage of enhanced battery life, max...

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来源期刊

Electric Power Components and Systems 工程技术-工程：电子与电气

CiteScore

2.70

自引率

6.70%

发文量

审稿时长

7.2 months

期刊介绍： Electric Power Components and Systems publishes original theoretical and applied papers of permanent reference value related to the broad field of electric machines and drives, power electronics converters, electromechanical devices, electrical equipment, renewable and sustainable electric energy applications, and power systems. Specific topics covered include: -Electric machines- Solid-state control of electric machine drives- Power electronics converters- Electromagnetic fields in energy converters- Renewable energy generators and systems- Power system planning- Transmission and distribution- Power system protection- Dispatching and scheduling- Stability, reliability, and security- Renewable energy integration- Smart-grid and micro-grid technologies.