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Explainable Machine Learning Models and Architectures
book

Explainable Machine Learning Models and Architectures

by Suman Lata Tripathi, Mufti Mahmud
September 2023
Intermediate to advanced content levelIntermediate to advanced
272 pages
6h 43m
English
Wiley-Scrivener
Content preview from Explainable Machine Learning Models and Architectures

3Efficient Architectures and Trade-Offs for FPGA-Based Real-Time Systems

L.M.I. Leo Joseph*, J. Ajayan, Sandip Bhattacharya and Sreedhar Kollem

Department of Electronics and Communication Engineering, School of Engineering, SR University, Warangal, Telangana, India

Abstract

Real-time monitoring gives accurate timely information, crucial for any production enhancement and decision-making. The most recent technology for field-programmable gate arrays (FPGA) has blurred the gap between hardware and software. By combining measurements from many sensor systems, it is possible to circumvent issues which exist when employing stand-alone systems. This chapter emphasizes the significance of design strategies and algorithm development from several vantage points, as well as their implementation in diverse real-time systems, employing reconfigurable and hybrid approaches. Employing a configurable soft-core processor, on an FPGA will give the adaptability necessary for interfacing with a variety of sensors.

Keywords: FPGA, real-time systems, hybrid architectures, hardware acceleration, SVM, CNN, Zynq, Pynq

3.1 Overview of FPGA-Based Real-Time System

The system whose response seems accurate in a defined time or real time is a real-time system [1]. Flight control mechanisms and real-time monitors are two examples of real-time systems. Real-time systems find applications in different forms pertaining to different application. Real-time systems are classified into two types based on the ...

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Publisher Resources

ISBN: 9781394185849Purchase Link