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Industrial Networks and Intelligent Systems

Overview of attention for book
Cover of 'Industrial Networks and Intelligent Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Rate Region and Achievable Rates of Full-Duplex Cognitive Radio NOMA Channels Under Imperfect Spectrum Sensing
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    Chapter 2 Reconfigurable Intelligent Surfaces for Downlink Cellular Networks
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    Chapter 3 QoS-Aware Load Balancing Scheme in Dense Wi-Fi 6 WLANs
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    Chapter 4 Performance Analysis of Intelligent Reflecting Surface-Aided Mobile Edge Computing Network with Uplink NOMA Scheme
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    Chapter 5 Performance Analysis of RF Energy Harvesting NOMA Mobile Edge Computing in Multiple Devices IIoT Networks
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    Chapter 6 Design and Performance Evaluation of Full-Duplex Relay Node in LoRaWAN-Based System
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    Chapter 7 Throughput Optimization for NOMA Cognitive Radios with Multi-UAV Assisted Relay
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    Chapter 8 An Intelligent Edge System for Face Mask Recognition Application
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    Chapter 9 Advanced Joint Model for Vietnamese Intent Detection and Slot Tagging
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    Chapter 10 Optimising Maritime Big Data by K-means Clustering with Mapreduce Model
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    Chapter 11 Histopathological Imaging Classification of Breast Tissue for Cancer Diagnosis Support Using Deep Learning Models
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    Chapter 12 Navigation for Two-Wheeled Differential Mobile Robot in the Special Environment
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    Chapter 13 Improving the Control Performance of Jacking System of Jack-Up Rig Using Self-adaptive Fuzzy Controller Based on Particle Swarm Optimization
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    Chapter 14 Stabilization Controller Design for Differential Mobile Robot Using Lyapunov Function and Extended Kalman Filter
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    Chapter 15 Red-Light Running Violation Detection of Vehicles in Video Using Deep Learning Methods
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    Chapter 16 Impact of Wireless Backhaul and Imperfect Channel Estimation on Secure Communication Networks
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    Chapter 17 Performance Analysis of Non-profiled Side Channel Attack Based on Multi-layer Perceptron Using Significant Hamming Weight Labeling
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    Chapter 18 Full-Duplex UAV Aided Communication in the Presence of Multiple Malicious Jammers
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    Chapter 19 On Secrecy Analysis of UAV-Enabled Relaying NOMA Systems with RF Energy Harvesting
Attention for Chapter 11: Histopathological Imaging Classification of Breast Tissue for Cancer Diagnosis Support Using Deep Learning Models
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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6 X users

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8 Mendeley
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Chapter title
Histopathological Imaging Classification of Breast Tissue for Cancer Diagnosis Support Using Deep Learning Models
Chapter number 11
Book title
Industrial Networks and Intelligent Systems
Published in
arXiv, July 2022
DOI 10.1007/978-3-031-08878-0_11
Book ISBNs
978-3-03-108877-3, 978-3-03-108878-0
Authors

Tat-Bao-Thien Nguyen, Minh-Vuong Ngo, Van-Phong Nguyen, Nguyen, Tat-Bao-Thien, Ngo, Minh-Vuong, Nguyen, Van-Phong

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 25%
Student > Ph. D. Student 1 13%
Unspecified 1 13%
Other 1 13%
Student > Postgraduate 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 3 38%
Unspecified 1 13%
Decision Sciences 1 13%
Unknown 3 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 July 2022.
All research outputs
#15,484,645
of 24,998,746 outputs
Outputs from arXiv
#266,118
of 1,020,287 outputs
Outputs of similar age
#207,311
of 429,350 outputs
Outputs of similar age from arXiv
#8,752
of 34,816 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,287 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 71% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 429,350 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 34,816 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.