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Machine Learning and Intelligent Communications : 6th EAI International Conference, MLICOM 2021, Virtual Event, November 2021, Proceedings / edited by Xiaolin Jiang.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Jiang, Xiaolin, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering 1867-822X ; 438
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1867-822X ; 438
Language:
English
Subjects (All):
Computer networks.
Artificial intelligence.
Computer engineering.
Computer vision.
Computer Communication Networks.
Artificial Intelligence.
Computer Engineering and Networks.
Computer Vision.
Local Subjects:
Computer Communication Networks.
Artificial Intelligence.
Computer Engineering and Networks.
Computer Vision.
Physical Description:
1 online resource (XVI, 352 pages) : 199 illustrations, 123 illustrations in color.
Edition:
1st ed. 2022.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
System Details:
text file PDF
Summary:
This volume constitutes the refereed post-conference proceedings of the 6th International Conference on Machine Learning and Intelligent Communications, MLICOM 2021, held in November 2021. Due to COVID-19 pandemic the conference was held virtually. The 28 revised full papers were carefully selected from 58 submissions. The papers are organized thematically in tracks as follows: internet of vehicle communication system; applications of neural network and deep learning; intelligent massive MIMO communications; intelligent positioning and navigation systems; intelligent space and terrestrial integrated networks; machine learning algorithms and intelligent networks; image information processing.
Contents:
Deep learning network for Frequency offset Cancellation in OFDM communication system
Research on the Rising Phenomenons in the Bit Error Rate Performances of LT-Based UEP codes
Ensemble Classification Technique for Cultural Heritage Image
Power Allocation for Sum Rate Maximization of Uplink Massive MIMO System with Maximum Ratio Combining
Research on Indoor Passive Location Based on LoRa Fingerprint
Application of Dijkstra algorithm in optimal route selection under the background of TPACK education model
The Wave Filter Design of UFMC Vehicle Communication System
Research on Image Binary Classification Based on Fast Style Transfer Data Enhancement
3DCNN Backed Conv-LSTM Auto Encoder for Micro Facial Expression Video Recognition
Research on charge and discharge control strategy of supercapacitor
Intelligent wheelchair based on medical health examination
Research on Forest Fire Image Recognition System in Northeast Forest Region Based on Machine Vision
Research on Face Image Restoration Method Based on Improved WGAN
Research on text communication security based on deep learning model
Elimination of Network Intrusion using Advance Data Mining Technology
Automatic Detection and Classification of Anti-Islamic Web Text-Contents
Deep Learning Technique for Dessert Plant Classification and Recognition
Sparse Algorithm for OFDM Underwater Acoustic Channel Estimation
Improvement of CLAlgorithm in MIMO-OFDM System
SD-based low-complexity signal detection algorithm in massive MIMO
Improved YOLOv4 infrared image pedestrian detection algorithm
Research on ECG Classification Method Based on Convolutional Neural Network
A Servey on Meta-learning Based Few-shotClassification
Image Retrieval Algorithm Based on Fractal Coding
Research on Fractal Image Coding Method Based on SNAM Segmentation Scheme
Aircraft Detection In Aerial Remote Sensing Images Based On Contrast Self-supervised Learning
Fast fractal image compression algorithm based on compression perception
Color Image Fast Encryption Algorithm Based on JPEG encoding
Review of Research on Speech Emotion Recognition
Concentration Prediction Based on mRMRXGBoost Model
An improved crowd counting method based on YOLOv3.
Other Format:
Printed edition:
ISBN:
978-3-031-04409-0
9783031044090
Access Restriction:
Restricted for use by site license.

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