IIETA | Advancing the World of Information and Engineering

A Deep Learning Approach to Network Intrusion Detection Using Deep Autoencoder

DBIECM-an Evolving Clustering Method for Streaming Data Clustering

Understanding Core Districts of City using Human Activity Data

Classification Method for Uncertain Data based on Sparse De-Noising Auto-Encoder Neural Network

Application and Comparison of Machine Learning Algorithms for Predicting Mass Loss of Cement Raw Materials due to Decarbonation Process

Design and Implementation of a Student Archive Retrieval Method Based on Image Processing

An Incremental Updating Method for the K-anonymous Dataset using a Similar-B-tree

Security Analysis and Improvement of the Certificateless Aggregate Signature Schemes

Improvements on Learning Kernel Extended Dictionary for Face Recognition

Web Optimization of QUIC under Wireless Network

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