Breast cancer is the second leading cause of death for women, so accurate early detection
can help decrease breast cancer mortality rates. Computer-aided detection allows …

Security is a prime challenge in wireless mesh networks. The mesh nodes act as the
backbone of a network when confronting a wide variety of attacks. An intrusion detection …

BACKGROUND: Breast cancer is one of the most common cancers with a high mortality rate
among women. With the early diagnosis of breast cancer survival will increase from 56% to …

Machine learning-based intrusion detection system (IDS) is an important requirement for
securing data traffic in wireless mesh networks. The noisy and redundant features of network …

Since the discovery that machine learning can be used to effectively detect Android
malware, many studies on machine learning-based malware detection techniques have …

In supervised learning scenarios, feature selection has been largely investigated in the
literature because only a few features carry valuable information. This study introduces an …

Nowadays, feature selection is considered as a de facto standard in the field of pattern
recognition where high-dimensional feature attributes are used. The main purpose of any …

In the studies of cybersecurity, malicious traffic detection is attracting more and more
attention for its capability of detecting attacks. Almost all of the intrusion detection methods …

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing)
and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to …

Feature selection plays a key role to reduce the high-dimensionality of feature space in
machine learning applications by discarding irrelevant and redundant features with the aim …