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Guoqiang Zhang, Irfan Ahmed Khan, Amil Daraz, Abdul Basit and Muhammad Irshad Khan
In seaports, low-carbon energy systems and energy efficiency have become increasingly important as a result of the evolution of environmental and climate change challenges. In order to ensure the continued success of seaports, technological advancements ...
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Dorin Moldovan
The bio-inspired research field has evolved greatly in the last few years due to the large number of novel proposed algorithms and their applications. The sources of inspiration for these novel bio-inspired algorithms are various, ranging from the behavi...
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Sang-Gil Lee, Hyeon-Ho Yang, Reynolds Addo-Akoto and Jae-Hung Han
Flapping-wing micro air vehicles (FWMAVs) have the capability of performing various flight modes like birds and insects. Therefore, it is necessary to understand the various flight modes of FWMAVs in order to fully utilize the capability of the vehicle. ...
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Alon Ascoli, Martin Weiher, Melanie Herzig, Stefan Slesazeck, Thomas Mikolajick and Ronald Tetzlaff
This manuscript provides a comprehensive tutorial on the operating principles of a bio-inspired Cellular Nonlinear Network, leveraging the local activity of NbOx
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memristors to apply a spike-based computing paradigm, which is expected to deliver such a...
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Amber Israr, Zain Anwar Ali, Eman H. Alkhammash and Jari Juhani Jussila
A system that can fly off and touches down to execute particular tasks is a flying robot. Nowadays, these flying robots are capable of flying without human control and make decisions according to the situation with the help of onboard sensors and control...
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Robertas Dama?evicius and Rytis Maskeliunas
This paper describes a unique meta-heuristic technique for hybridizing bio-inspired heuristic algorithms. The technique is based on altering the state of agents using a logistic probability function that is dependent on an agent?s fitness rank. An evalua...
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Fevrier Valdez, Oscar Castillo and Patricia Melin
In recent years, new metaheuristic algorithms have been developed taking as reference the inspiration on biological and natural phenomena. This nature-inspired approach for algorithm development has been widely used by many researchers in solving optimiz...
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Laihao Jiang, Hongwei Mo and Peng Tian
Many bio-inspired coordination strategies have been investigated for swarm robots. Bacterial chemotaxis exhibits a certain degree of intelligence, and has been developed some optimization algorithm for robot(s), e.g., bacterial foraging optimization algo...
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Rania M. Ghoniem
Current research on computer-aided diagnosis (CAD) of liver cancer is based on traditional feature engineering methods, which have several drawbacks including redundant features and high computational cost. Recent deep learning models overcome these prob...
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Rodrigo Olivares, Roberto Munoz, Ricardo Soto, Broderick Crawford, Diego Cárdenas, Aarón Ponce and Carla Taramasco
During the last years, highly-recognized computational intelligence techniques have been proposed to treat classification problems. These automatic learning approaches lead to the most recent researches because they exhibit outstanding results. Neverthel...
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