Medical image fusion: A survey of the state of the art
AP James, BV Dasarathy - Information fusion, 2014 - Elsevier
Medical image fusion is the process of registering and combining multiple images from
single or multiple imaging modalities to improve the imaging quality and reduce …
single or multiple imaging modalities to improve the imaging quality and reduce …
Image fusion using hybrid methods in multimodality medical images
An image fusion based on multimodal medical images renders a considerable
enhancement in the quality of fused images. An effective image fusion technique produces …
enhancement in the quality of fused images. An effective image fusion technique produces …
A novel deep learning-based feature selection model for improving the static analysis of vulnerability detection
C Batur Şahin, L Abualigah - Neural Computing and Applications, 2021 - Springer
The automatic detection of software vulnerabilities is considered a complex and common
research problem. It is possible to detect several security vulnerabilities using static analysis …
research problem. It is possible to detect several security vulnerabilities using static analysis …
[PDF][PDF] High-level information fusion: an overview.
PH Foo, GW Ng - J. Adv. Inf. Fusion, 2013 - isif.org
In general, data and information fusion can provide enhancement to the outcomes of
processes for solving various application problems. Some advantages of carrying out DIF …
processes for solving various application problems. Some advantages of carrying out DIF …
An artificial immune system for offline isolated handwritten arabic character recognition
Character recognition plays an important role in the modern world. In recent years, character
recognition systems for different languages has gain importance. The recognition of Arabic …
recognition systems for different languages has gain importance. The recognition of Arabic …
A review on immune-inspired node fault detection in wireless sensor networks with a focus on the danger theory
The use of fault detection and tolerance measures in wireless sensor networks is inevitable
to ensure the reliability of the data sources. In this context, immune-inspired concepts offer …
to ensure the reliability of the data sources. In this context, immune-inspired concepts offer …
Information fusion in the realm of medical applications-A bibliographic glimpse at its growing appeal
BV Dasarathy - Information Fusion, 2012 - dl.acm.org
Editorial: Information fusion in the realm of medical applications - A bibliographic glimpse at its
growing appeal: Information Fusion: Vol 13, No 1 skip to main content ACM Digital Library home …
growing appeal: Information Fusion: Vol 13, No 1 skip to main content ACM Digital Library home …
[PDF][PDF] Integrated innate and adaptive artificial immune systems applied to process anomaly detection
JP Twycross - 2007 - Citeseer
This thesis explores the design and application of artificial immune systems (AISs), problem-
solving systems inspired by the human and other immune systems. AISs to date have largely …
solving systems inspired by the human and other immune systems. AISs to date have largely …
A survey of recent works in artificial immune systems
GC Silva, D Dasgupta - Handbook on Computational Intelligence …, 2016 - World Scientific
This report aims to bring the state-of-the-art of artificial immune systems (AISs) and the
literature review during the last five years, presenting some Immune-based methods, their …
literature review during the last five years, presenting some Immune-based methods, their …
Detecting danger: The dendritic cell algorithm
Abstract The “Dendritic Cell Algorithm”(DCA) is inspired by the function of the dendritic cells
of the human immune system. In nature, dendritic cells are the intrusion detection agents of …
of the human immune system. In nature, dendritic cells are the intrusion detection agents of …