Leveraging siamese networks for one-shot intrusion detection model

H Hindy, C Tachtatzis, R Atkinson, D Brosset… - Journal of Intelligent …, 2023 - Springer
The use of supervised Machine Learning (ML) to enhance Intrusion Detection Systems (IDS)
has been the subject of significant research. Supervised ML is based upon learning by …

Artificial intelligence system for image similarity analysis using optimized image pair selection and multi-scale convolutional neural networks

S Appalaraju, VS Chaoji - US Patent 10,467,526, 2019 - Google Patents
At an artificial intelligence system, a neural network model is trained iteratively to generate
similarity scores for image pairs. The model includes a first subnetwork with a first number of …

[PDF][PDF] Towards a method for discerning sources of supply within the human remains trade via patterns of visual dissimilarity and computer vision

S Graham, A Lane, D Huffer… - Journal of Computer …, 2020 - pdfs.semanticscholar.org
While traders of human remains on Instagram will give some indication, their best estimate,
or repeat hearsay, regarding the geographic origin or provenance of the remains, how can …

Fallbasiertes Schließen.

R Bergmann, M Minor, K Bach, KD Althoff… - 2020 - degruyter.com
Fallbasiertes Schließen (engl. case-based reasoning, CBR) beschäftigt sich damit, wie man
mithilfe von Erfahrungswissen Probleme lösen kann und es ist damit die Grund lage zum …

[PDF][PDF] Intrusion Detection Systems Using Machine Learning and Deep Learning Techniques

H Hindy - 2021 - rke.abertay.ac.uk
The increased reliance on networked technologies has led to a digital transformation of
general-and special-purpose networks that further interlace technologies and …