Integral equations related to volterra series and inverse problems: Elements of theory and applications in heat power engineering

S Solodusha, M Bulatov - Mathematics, 2021 - mdpi.com
The paper considers two types of Volterra integral equations of the first kind, arising in the
study of inverse problems of the dynamics of controlled heat power systems. The main focus …

Robust face descriptor in unconstrained environments

S Karanwal - Expert Systems with Applications, 2024 - Elsevier
This research paper presents the novel face recognition (FR) approach by introducing the
novel descriptor so-called directional binary pattern (DBP). The directional features are …

Decision-Based Fusion for Vehicle Matching

S Ghanem, RA Kerekes, R Tokola - Sensors, 2022 - mdpi.com
In this work, a framework is proposed for decision fusion utilizing features extracted from
vehicle images and their detected wheels. Siamese networks are exploited to extract key …

[图书][B] Artificial Intelligence in Medicine and Surgery-An Exploration of Current Trends, Potential Opportunities, and Evolving Threats-Volume 1: An Exploration of …

A Engelbrecht, SP Stawicki - 2023 - books.google.com
Human history is filled with inventions and other innovations that resulted in a significant and
lasting change in our civilization's course of development. From gasoline-powered vehicles …

[HTML][HTML] Scaling Subspace-Driven Approaches Using Information Fusion

S Ghanem, H Krim - Neuromorphic Computing, 2023 - intechopen.com
In this work, we seek to exploit the deep structure of multi-modal data to robustly exploit the
group subspace distribution of the information using the Convolutional Neural Networks …

Stability Quantification of Neural Networks

K Gupta - 2023 - theses.hal.science
Artificial neural networks are at the core of recent advances in Artificial Intelligence. One of
the main challenges faced today, especially by companies likeThales designing advanced …

[图书][B] Information Fusion: Scaling Subspace-Driven Approaches

SS Ghanem - 2021 - search.proquest.com
Abstract Union of Subspaces (UoS) is a new paradigm for signal modeling and processing,
which can identify more complex trends in data sets than simple linear models. Relying on a …