Applied Computational Intelligence, Informatics and Big Data

First International Conference, ACIIBD 2024, Guangzhou, China, July 26–28, 2024, Proceedings

Häftad, Engelska, 2025

Del 616 i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Beskrivning

This book LNICST 616 constitutes the proceedings of the First International Conference on Applied Computational Intelligence, Informatics and Big Data, ACIIBD 2024, held in Guangzhou, China, during July 26–28, 2024. The 3 full papers and 15 shot papers were carefully reviewed and selected from 56 submissions. This Proceedings cover topics on Internet of Things, Information Communication Technology, Edge Computing, Mobile Computing, Neural Network, Intelligent Control System, Real-Time Information System, Intelligent Perception and many other cutting-edge fields and disciplines.

Produktinformation

Utgivningsdatum:2025-05-23
Mått:155 x 235 x 11 mm
Vikt:295 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:178
Förlag:Springer International Publishing AG
ISBN:9783031918520

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT

Innehållsförteckning

Intelligent Computing and Big Data Modeling.- A New Power System Prediction Model Based on Expert System.- Application of Big Data Technology in Time-Frequency Data Management and Diagnosis.- Improving Generalization for Missing Data Imputation Via Dual Corruption Denoising Autoencoders.- Remote Intelligent Inspection Method of Man-Machine Interactive Computer Room Based on Digital Twin Technology.- Analysis of College Students’ Achievement Based on Data Mining.- Bridge Structure Health Assessment Algorithm Based on Heterogeneous Sensor Data Fusion Simulation.- The Volatility Prediction and Option Pricing Model of Correction Bias.- Attention-based Link Prediction with Contextualized Self-Supervision.- Intelligent System Design and Information Processing.- Lightweight MES System Research and Practice –A Medium-sized Discrete Manufacturing Enterprise as An Example.- A Genetic Deep Reinforcement Learning Approach with Prioritized Experience Replay Strategy to Solve the Influence Maximization Problem on Networks.- Continual Knowledge Graph Embedding by Structural Feature Distillation.- TZRT-RPC: A Hybrid Multi-OS Real-Time Communication Scheme Based on TrustZone.- Product Feature and Emotional Polarity Identification Method Based on ABSA Technology.- Development of an Intelligent Inspection and Analysis System for Special Equipment Report Sampling.- Cultural Digital Assets in the Metaverse.- Statistical Research of Medieval Phonology in Dunhuang Dialect.- A Runtime Design of WebAssembly Container for Embedded Real-time Operating Systems.- GraphModo: An Easy-to-Use Visual Construction System of Deep Learning Model.