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

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
• Edizione: 1st ed. 2022.
• Descrizione fisica: 1 online resource (363 pages)
• Disciplina: 006.31
• Soggetto topico: Computer networks; Artificial intelligence; Computer engineering; Computer vision; Computer Communication Networks; Artificial Intelligence; Computer Engineering and Networks; Computer Vision; Aprenentatge automàtic; Intel·ligència artificial; Xarxes d'ordinadors; Simulació per ordinador; Processament d'imatges
• Soggetto genere / forma: Congressos; Llibres electrònics
• Persona (resp. second.): JiangXiaolin
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Machine Learning and Intelligent Communications
• ISBN: 9783031044090; 9783031044083
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910568241303321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, . 1867-822X ; ; 438