Big Data and Security
Editat de Yuan Tian, Tinghuai Ma, Muhammad Khurram Khanen Limba Engleză Paperback – 21 iul 2024
The 35 full papers and 1 short paper were carefully reviewed and selected from 161 submissions. They are organized in topical sections as follows:
Part One: Big Data & New Method and Artificial Intelligence & Machine Learning
Part Two: Data Technology & Network Security and IoT Security & Privacy Protection.
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Specificații
ISBN-13: 9789819743865
ISBN-10: 9819743869
Pagini: 264
Ilustrații: X, 255 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.41 kg
Ediția:2024
Editura: Springer
Locul publicării:Singapore, Singapore
ISBN-10: 9819743869
Pagini: 264
Ilustrații: X, 255 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.41 kg
Ediția:2024
Editura: Springer
Locul publicării:Singapore, Singapore
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Cuprins
.- Big Data&New Method.
.- Recurrent Age Recognition based on Manifold Learning.
.- Big Data Intelligence Empowered Specialized Disciplines Development Pattern Recognition in Power Industry Universities.
.- A Survey on Real-time Semantic Segmentation Based on Deep Learning.
.- A Clustering Method for Distribution Network Load Curve Based on Fast DDTW.
.- Object Detection Model Based on Attention Mechanism.
.- Gas Pressure Prediction and Application with Missing Data Imputation Techniques for Gas Regulator Data.
.- Advances, Patterns and Future Potential of Big Data Technology Research for New Energy Sources and Energy Storage Systems.
.- Construction of Enterprise Capital Allocation Efficiency Model Based on Fuzzy Clustering Algorithm.
.- Artificial Intelligence&Machine Learning.
.- Analysing Potential of ResNet for Transfer Learning with Stochastic Depth.
.- A Survey of Research Progresses on Instance Segmentation Based on Deep Learning.
.- Charting the Landscape of Multi-view Stereo: An In-depth Exploration of Deep Learning Techniques.
.- A Survey of Federated Learning: Review,Attacks, Defenses.
.- ROMA: Reverse Model-based Data Augmentation for Offline Reinforcement Learning.
.- Application Research of Digital Intelligence Technology in Mining Electric Power Equipment Fault Cases: Taking Text Mining Technology as an Example.
.- Deep Learning-Based Attribute Graph Clustering: An Overview.
.- Construction of demand forecasting model of human resources professional structure based on deep learning.
.- Financial management and early warning system of non profit organizations based on artificial neural network.
.- Recurrent Age Recognition based on Manifold Learning.
.- Big Data Intelligence Empowered Specialized Disciplines Development Pattern Recognition in Power Industry Universities.
.- A Survey on Real-time Semantic Segmentation Based on Deep Learning.
.- A Clustering Method for Distribution Network Load Curve Based on Fast DDTW.
.- Object Detection Model Based on Attention Mechanism.
.- Gas Pressure Prediction and Application with Missing Data Imputation Techniques for Gas Regulator Data.
.- Advances, Patterns and Future Potential of Big Data Technology Research for New Energy Sources and Energy Storage Systems.
.- Construction of Enterprise Capital Allocation Efficiency Model Based on Fuzzy Clustering Algorithm.
.- Artificial Intelligence&Machine Learning.
.- Analysing Potential of ResNet for Transfer Learning with Stochastic Depth.
.- A Survey of Research Progresses on Instance Segmentation Based on Deep Learning.
.- Charting the Landscape of Multi-view Stereo: An In-depth Exploration of Deep Learning Techniques.
.- A Survey of Federated Learning: Review,Attacks, Defenses.
.- ROMA: Reverse Model-based Data Augmentation for Offline Reinforcement Learning.
.- Application Research of Digital Intelligence Technology in Mining Electric Power Equipment Fault Cases: Taking Text Mining Technology as an Example.
.- Deep Learning-Based Attribute Graph Clustering: An Overview.
.- Construction of demand forecasting model of human resources professional structure based on deep learning.
.- Financial management and early warning system of non profit organizations based on artificial neural network.