[HTML][HTML] Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection …
Abstract Intrusion Detection Systems (IDS) have become pivotal in safeguarding information
systems against evolving threats. Concurrently, Concept Drift presents a significant …
systems against evolving threats. Concurrently, Concept Drift presents a significant …
Metaverse Solutions for Educational Evaluation
L Zi, X Cong - Electronics, 2024 - mdpi.com
This study aims to give a comprehensive overview of the application of the metaverse in
educational evaluation. First, we characterize the metaverse and illustrate how it can support …
educational evaluation. First, we characterize the metaverse and illustrate how it can support …
[HTML][HTML] Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop's Nitrogen Content
Non-invasive crop analysis through image-based methods holds great promise for
applications in plant research, yet accurate and robust trait inference from images remains a …
applications in plant research, yet accurate and robust trait inference from images remains a …
Novel concept drift detection and adaptation (CDDA) framework for human-to-machine (H2M) applications over future communication networks
Machine learning (ML)-enhanced future communication networks are able to advance
human-to-machine (H2M) applications by intelligent bandwidth prediction techniques to …
human-to-machine (H2M) applications by intelligent bandwidth prediction techniques to …
Integrated multi-view modeling for reliable machine learning-intensive software engineering
JH Husen, H Washizaki, J Runpakprakun… - Software Quality …, 2024 - Springer
Abstract Development of machine learning (ML) systems differs from traditional approaches.
The probabilistic nature of ML leads to a more experimentative development approach …
The probabilistic nature of ML leads to a more experimentative development approach …
Who Cares about the Weather? Inferring Weather Conditions for Weather-Aware Object Detection in Thermal Images
Featured Application This work focuses on achieving a weather-agnostic approach for the
real-world deployment of object recognition algorithms. Particularly object recognition …
real-world deployment of object recognition algorithms. Particularly object recognition …
Concept Drift Challenges in the Internet of Things (IoT) Era of Smart Cities: A Preliminary Investigation
Recently, smart cities and their enabling technologies, such as the Internet of Things (IoT),
have grown significantly. This trend has led to an exponential increase in smart devices and …
have grown significantly. This trend has led to an exponential increase in smart devices and …
A benchmark and survey of fully unsupervised concept drift detectors on real-world data streams
Abstract Concept drift detection techniques can be used to discover substantial changes of
the patterns encoded in data streams in real-time. If left unaddressed, these changes can …
the patterns encoded in data streams in real-time. If left unaddressed, these changes can …
[PDF][PDF] 改进自适应模型池的在线异常检测算法
项秋艳， 訾玲玲， 丛鑫 - 电子学报, 2024 - ejournal.org.cn
精确的在线异常检测方法是物联网行业发展的核心, 其中, 以复杂和动态数据流为对象的在线
异常识别是研究热点. 现有在线异常检测方法存在处理复杂性负载过重问题 …
异常识别是研究热点. 现有在线异常检测方法存在处理复杂性负载过重问题 …
Fast Learning Enabled by In-Network Drift Detection
The widespread adoption of Machine Learning (ML) is leading to an increase in processing
demands. Dealing with the growing volume of data poses a significant challenge in …
demands. Dealing with the growing volume of data poses a significant challenge in …