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[HTML][HTML] Web service discovery: Rationale, challenges, and solution directions
Abstract Service Oriented Architecture (SOA) is a methodology that promotes cooperation
between services with diverse, but connected functions. Web Service technology paved the …
between services with diverse, but connected functions. Web Service technology paved the …
Negative selection in anomaly detection—a survey
P Saurabh, B Verma - Computer Science Review, 2023 - Elsevier
The remarkable ability to separate and identify self and non-self in a given problem space,
makes negative selection a fascinating concept of artificial immune system. Therefore …
makes negative selection a fascinating concept of artificial immune system. Therefore …
A negative selection algorithm with hypercube interface detectors for anomaly detection
M Gu, D Li, J Liu, W Shan, S Liu - Applied Soft Computing, 2024 - Elsevier
Negative selection algorithms play an important role in anomaly detection. Interface
detectors are a special negative selection algorithm that completely eliminates outer holes …
detectors are a special negative selection algorithm that completely eliminates outer holes …
DE-PSA: Learning from unlabeled data by dual-stage label propagation for positive selection algorithm
W Chen, Y Yang, L Liu - Knowledge-Based Systems, 2025 - Elsevier
Artificial immune detectors are the basic classification units for self/nonself discrimination.
Traditional immune detector generation algorithms adopt supervised learning paradigm …
Traditional immune detector generation algorithms adopt supervised learning paradigm …
A novel negative selection algorithm with hyper-rectangle detectors based on full coverage of state space for anomaly detection
M Gu, D Li, L Gong, J Liu, S Liu - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
The traditional negative selection algorithm with a randomly generated hypersphere
detector is unable to satisfy the development needs of continuous learning due to the …
detector is unable to satisfy the development needs of continuous learning due to the …
[PDF][PDF] Obesity level classification based on decision tree and naïve Bayes classifiers
This paper proposed an approach for obesity levels classification. The main contribution of
this work is the use of boosting and bagging techniques in the decision tree (DT) and naïve …
this work is the use of boosting and bagging techniques in the decision tree (DT) and naïve …
Machine Learning as a Service (MLaaS) Selection for IoT Environments
KM Patel - 2024 - espace.curtin.edu.au
This thesis presents two novel frameworks for selecting Machine Learning as a Service
(MLaaS) providers using incomplete Quality of Service (QoS) information and contextual …
(MLaaS) providers using incomplete Quality of Service (QoS) information and contextual …
Overview of Network Security Defense Technologies for Power Systems
J Zhao, D Wang, H Ma, Y Yang - … of the 5th International Conference on …, 2022 - dl.acm.org
As the cybersecurity situation continues to get tougher, more and more attackers are
beginning to place their attention on power system networks, and the struggle between …
beginning to place their attention on power system networks, and the struggle between …
A novel negative selection algorithm with hypercube interface detectors for anomaly detection
M Gu, D Li, L Gong, J Liu, S Liu - 2022 - researchsquare.com
Negative selection algorithms play an important role in anomaly detection. Interface
detectors are a special negative selection algorithm that completely eliminates outer holes …
detectors are a special negative selection algorithm that completely eliminates outer holes …