Survey of computational intelligence as basis to big flood management: Challenges, research directions and future work

F Fotovatikhah, M Herrera… - Engineering …, 2018 - Taylor & Francis
Flooding produces debris and waste including liquids, dead animal bodies and hazardous
materials such as hospital waste. Debris causes serious threats to people's health and can …

Renewable energy: Present research and future scope of Artificial Intelligence

SK Jha, J Bilalovic, A Jha, N Patel, H Zhang - Renewable and Sustainable …, 2017 - Elsevier
The existence of sunlight, air and other resources on earth must be used in an appropriate
way for human welfare while still protecting the environment and its living creatures. The …

The OpenCDA open-source ecosystem for cooperative driving automation research

R Xu, H Xiang, X Han, X Xia, Z Meng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Advances in Single-vehicle intelligence of automated driving has encountered great
challenges because of limited capabilities in perception and interaction with complex traffic …

[图书][B] Fuzzy logic and mathematics: a historical perspective

R Bělohlávek, JW Dauben, GJ Klir - 2017 - books.google.com
The term" fuzzy logic," as it is understood in this book, stands for all aspects of representing
and manipulating knowledge based on the rejection of the most fundamental principle of …

Evolutionary fuzzy systems for explainable artificial intelligence: Why, when, what for, and where to?

A Fernandez, F Herrera, O Cordon… - IEEE Computational …, 2019 - ieeexplore.ieee.org
Evolutionary fuzzy systems are one of the greatest advances within the area of
computational intelligence. They consist of evolutionary algorithms applied to the design of …

Optimization strategies for Microgrid energy management systems by Genetic Algorithms

S Leonori, M Paschero, FMF Mascioli, A Rizzi - Applied Soft Computing, 2020 - Elsevier
Abstract Grid-connected Microgrids (MGs) have a key role for bottom-up modernization of
the electric distribution network forward next generation Smart Grids, allowing the …

[PDF][PDF] Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework

J Derrac, S Garcia, L Sanchez… - J. Mult. Valued Logic Soft …, 2015 - 150.214.190.154
Data Mining (DM) is the process for automatic discovery of high level knowledge by
obtaining information from real world, large and complex data sets [26], and is the core step …

[PDF][PDF] Genetic fuzzy based artificial intelligence for unmanned combat aerial vehicle control in simulated air combat missions

N Ernest, D Carroll, C Schumacher… - Journal of Defense …, 2016 - researchgate.net
Breakthroughs in genetic fuzzy systems, most notably the development of the Genetic Fuzzy
Tree methodology, have allowed fuzzy logic based Artificial Intelligences to be developed …

An integrated cyber security risk management framework and risk predication for the critical infrastructure protection

HI Kure, S Islam, H Mouratidis - Neural Computing and Applications, 2022 - Springer
Cyber security risk management plays an important role for today's businesses due to the
rapidly changing threat landscape and the existence of evolving sophisticated cyber attacks …

An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges

L Martı, F Herrera - Information Sciences, 2012 - Elsevier
Many real world problems need to deal with uncertainty, therefore the management of such
uncertainty is usually a big challenge. Hence, different proposals to tackle and manage the …