A multi-measure feature selection algorithm for efficacious intrusion detection
V Herrera-Semenets, L Bustio-Martínez… - Knowledge-Based …, 2021 - Elsevier
Every day the number of devices interacting through telecommunications networks grows
resulting into an increase in the volume of data and information generated. At the same time …
resulting into an increase in the volume of data and information generated. At the same time …
Fusing semantic aspects for formal concept analysis using knowledge graphs
L Zhang, Y Jiang - Multimedia Tools and Applications, 2024 - Springer
Abstract Formal Concept Analysis (FCA) is a field of applied mathematics with its roots in
order theory. Over the past 20 years, FCA has been widely studied. Knowledge Graphs …
order theory. Over the past 20 years, FCA has been widely studied. Knowledge Graphs …
The Dominance-based Rough Set Approach for analysing patterns of flexibility allocation and design-cost criteria in large-scale irrigation systems
A Sawassi, GO Palmisano, B Crookston… - Agricultural Water …, 2022 - Elsevier
Water planners must provide end-users with reliable and high-quality access to fresh water
while complying with financial, institutional, and water availability constraints. In the pursuit …
while complying with financial, institutional, and water availability constraints. In the pursuit …
Fast calculation for approximations in Dominance-based Rough Set Approach using Dual Information Granule
J Zhao, D Wu, JX Wu, EWK See-To, F Huang - Applied Soft Computing, 2023 - Elsevier
Abstract The Dominance-based Rough Set Approach (DRSA) is an extension of RST, which
utilizes the dominance relation in attributes. However, traditional DRSA-based methods do …
utilizes the dominance relation in attributes. However, traditional DRSA-based methods do …
Advances in Deep Learning for the Detection of Alzheimer's Disease Using MRI—A Review
S Hariharan, R Agarwal - Computational Intelligence in Healthcare …, 2024 - Springer
Abstract Magnetic Resonance Imaging (MRI) has played a vital role in comprehending brain
functionalities and is a clinical tool in diagnosing neuro disorders like Alzheimer's Disease …
functionalities and is a clinical tool in diagnosing neuro disorders like Alzheimer's Disease …
Approximation operators via TD-matroids on two sets
G Wang, H Mao - Soft Computing, 2022 - Springer
Rough set theory is an extension of set theory with two additional unary set-theoretic
operators known as approximation in order to extract information and knowledge. It needs …
operators known as approximation in order to extract information and knowledge. It needs …
Modeling adoption of genetically modified foods: Application of Rough Set Theory and Flow Network Graph
M Akbari, N Mahavarpour, F Moshkdanian… - … in Sustainable Food …, 2023 - frontiersin.org
Introduction The main purpose of this study is to extract the rules and patterns governing the
behavioral intention of consumers towards the adoption of genetically modified foods …
behavioral intention of consumers towards the adoption of genetically modified foods …
以支持向量機, 優勢約略集合法與形式概念分析探勘生技美妝產品之消費者輪廓
L Huan-Chun - 臺灣師範大學工業教育學系學位論文, 2022 - airitilibrary.com
With the development of the biotechnological industry, biotechnology is widely used in
beauty products. With the advent of big data, mining customer behavior patterns has …
beauty products. With the advent of big data, mining customer behavior patterns has …
Intrusion Detection based on Multi-measure Feature Selection and DSCA-BiLSTM in Fog Environment
R Huang, J Li - Proceedings of the 2023 11th International Conference …, 2023 - dl.acm.org
The massive deployment of 5G and IoT devices brings many security risks, and high
dimensional wireless traffic data leads to increased complexity of detection models, which …
dimensional wireless traffic data leads to increased complexity of detection models, which …