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VLSI-SoC: Internet of Things Foundations

Overview of attention for book
Cover of 'VLSI-SoC: Internet of Things Foundations'

Table of Contents

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    Book Overview
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    Chapter 1 Dynamic Programming-Based Lifetime Reliability Optimization in Networks-on-Chip
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    Chapter 2 Efficient Utilization of Test Elevators to Reduce Test Time in 3D-ICs
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    Chapter 3 Design and Optimization of Multiple-Mesh Clock Network
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    Chapter 4 Energy-Efficient Partitioning of Hybrid Caches in Multi-core Architecture
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    Chapter 5 Interval Arithmetic and Self Similarity Based Subthreshold Leakage Optimization in RTL Datapaths
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    Chapter 6 VLSI-SoC: Internet of Things Foundations
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    Chapter 7 VLSI-SoC: Internet of Things Foundations
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    Chapter 8 Statistical Evaluation of Digital Techniques for $$\varSigma \varDelta $$ ADC BIST
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    Chapter 9 VLSI-SoC: Internet of Things Foundations
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    Chapter 10 VLSI-SoC: Internet of Things Foundations
  12. Altmetric Badge
    Chapter 11 Transmission Channel Noise Aware Energy Effective LDPC Decoding
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    Chapter 12 VLSI-SoC: Internet of Things Foundations
Attention for Chapter 1: Dynamic Programming-Based Lifetime Reliability Optimization in Networks-on-Chip
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Citations

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3 Mendeley
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Chapter title
Dynamic Programming-Based Lifetime Reliability Optimization in Networks-on-Chip
Chapter number 1
Book title
VLSI-SoC: Internet of Things Foundations
Published by
Springer, Cham, October 2014
DOI 10.1007/978-3-319-25279-7_1
Book ISBNs
978-3-31-925278-0, 978-3-31-925279-7
Authors

Liang Wang, Xiaohang Wang, Terrence Mak, Wang, Liang, Wang, Xiaohang, Mak, Terrence

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Professor > Associate Professor 1 33%
Student > Bachelor 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Engineering 1 33%

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