Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
Atmospheric extreme events cause severe damage to human societies and ecosystems.
The frequency and intensity of extremes and other associated events are continuously …
The frequency and intensity of extremes and other associated events are continuously …
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives
In the last few years, methods falling within the family of randomization-based machine
learning models have grasped a great interest in the Artificial Intelligence community, mainly …
learning models have grasped a great interest in the Artificial Intelligence community, mainly …
Performance analysis of machine learning based optimized feature selection approaches for breast cancer diagnosis
Healthcare systems around the world are facing huge challenges in responding to trends of
the rise of chronic diseases. The objective of our research study is the adaptation of Data …
the rise of chronic diseases. The objective of our research study is the adaptation of Data …
[HTML][HTML] Machine learning regression and classification methods for fog events prediction
C Castillo-Botón, D Casillas-Pérez… - Atmospheric …, 2022 - Elsevier
Atmospheric low-visibility events are usually associated with fog formation. Extreme low-
visibility events deeply affect the air and ground transportation, airports and motor-road …
visibility events deeply affect the air and ground transportation, airports and motor-road …
Multilevel Face Recognition System
VM Opanasenko, SK Fazilov, SS Radjabov… - … and Systems Analysis, 2024 - Springer
The problem of biometric person identification on the basis of component-based face
recognition is considered. It is shown that the face recognition system can be represented as …
recognition is considered. It is shown that the face recognition system can be represented as …
An Ensemble Approach To Face Recognition In Access Control Systems
VM Opanasenko, SK Fazilov… - Journal of Mobile …, 2024 - journals.riverpublishers.com
The article proposes a method for recognizing faces in mobile devices, based on an
ensemble approach to solving the problem of pattern recognition, which ensures high …
ensemble approach to solving the problem of pattern recognition, which ensures high …
TAD: Transfer learning-based multi-adversarial detection of evasion attacks against network intrusion detection systems
Nowadays, intrusion detection systems based on deep learning deliver state-of-the-art
performance. However, recent research has shown that specially crafted perturbations …
performance. However, recent research has shown that specially crafted perturbations …
Performance of machine learning-based multi-model voting ensemble methods for network threat detection in agriculture 4.0
N Peppes, E Daskalakis, T Alexakis, E Adamopoulou… - Sensors, 2021 - mdpi.com
The upcoming agricultural revolution, known as Agriculture 4.0, integrates cutting-edge
Information and Communication Technologies in existing operations. Various cyber threats …
Information and Communication Technologies in existing operations. Various cyber threats …
БАГАТОРІВНЕВА СИСТЕМА РОЗПІЗНАВАННЯ ОБЛИЧЧЯ.
ВМ ОПАНАСЕНКО, ШХ ФАЗИЛОВ… - … & Systems Analysis …, 2024 - search.ebscohost.com
Розглянуто проблему біометрично¿ ідентифікаці¿ особи на основі покомпонентr ного
розпізнавання обличчя. Показано, що систему розпізнавання обличчя можна уявити як …
розпізнавання обличчя. Показано, що систему розпізнавання обличчя можна уявити як …
A comparative analysis of early and late fusion for the multimodal two-class problem
In this article we carry out a comparison between early (feature) and late (score) multimodal
fusion, for the two-class problem. The comparison is made first from a general perspective …
fusion, for the two-class problem. The comparison is made first from a general perspective …