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Advances in Computer Recognition, Image Processing and Communications, Selected Papers from CORES 2021 and IP&C 2021

Edited by
September 2022
268 pages
  • ISBN978-3-0365-5313-9 (Hardback)
  • ISBN978-3-0365-5314-6 (PDF)
https://doi.org/10.3390/books978-3-0365-5314-6
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This book is a reprint of the Special Issue Advances in Computer Recognition, Image Processing and Communications, Selected Papers from CORES 2021 and IP&C 2021 that was published in

Chemistry & Materials Science
Computer Science & Mathematics
Physical Sciences
Summary

As almost all human activities have been moved online due to the pandemic, novel robust and efficient approaches and further research have been in higher demand in the field of computer science and telecommunication.

Therefore, this (reprint) book contains 13 high-quality papers presenting advancements in theoretical and practical aspects of computer recognition, pattern recognition, image processing and machine learning (shallow and deep), including, in particular, novel implementations of these techniques in the areas of modern telecommunications and cybersecurity.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
pointer instrumentation; image processing; object detection; K-fold cross-validation; Faster-RCNN; vein detection; digital image processing; correlation; displacement measurement; semantic segmentation; farmland vacancy segmentation; strip pooling; crop growth assessment; encoder–decoder; monotone curve; tangent circle; adjacent circle; area of location of the curve; contour; fingerprinting; malware analysis; malicious network traffic analysis; HTTP protocol analysis; pcap file analysis; malware tracking; malware identification; graph theory; smart meter; smart metering; wireless sensor network; interpolation; tangent line; curvature; area of location of the curve; contour; error; ellipse; B-spline; dynamic dedicated path protection; generic Dijkstra algorithm; elastic optical network; modulation constraints; ECG signal; classification; PTB-XL; deep learning; deep learning; computer vision; adversarial attacks; adversarial defences; image quality assessment; stitched images; panoramic images; image analysis; image entropy; NetFlow; network intrusion detection; network behavior analysis; data quality; feature selection; fronthaul; Xhaul; DSB-RFoF; A-RoF; B5G; 6G; DIPP; optical channel selection; n/a