Machine Learning and Intelligent Communications

6th EAI International Conference, MLICOM 2021, Virtual Event, November 2021, Proceedings
1. Auflage 2022
ISBN: 978-3-031-04408-3
Verlag: Springer International Publishing

Buch, Englisch, Band 438, 352 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 557 g

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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.

Zielgruppe

Research

Autoren/Hrsg.

Jiang, Xiaolin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Mathematik | Informatik EDV | Informatik Angewandte Informatik

Inhaltsverzeichnis

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.- Researchon 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 algorithmbased 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.