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Yunyang Zhang, Shiyu Du and Quan Zhang
The slime mold algorithm (SMA) is a swarm-based metaheuristic algorithm inspired by the natural oscillatory patterns of slime molds. Compared with other algorithms, the SMA is competitive but still suffers from unbalanced development and exploration and ...
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Guochao Zhang, Weijia Cao and Yantao Wei
With the development of the hyperspectral imaging technique, hyperspectral image (HSI) classification is receiving more and more attention. However, due to high dimensionality, limited or unbalanced training samples, spectral variability, and mixing pixe...
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Jamil Al-Sawwa and Mohammad Almseidin
With the rapid development of internet technology, the amount of collected or generated data has increased exponentially. The sheer volume, complexity, and unbalanced nature of this data pose a challenge to the scientific community to extract meaningful ...
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Prafulla Kumar Padhi and Fernando Charrua-Santos
Digital era deficiencies traditionally exist in healthcare applications because of the unbalanced distribution of medical resources, especially in rural areas globally. Cognitive data intelligence, which constitute the integration of cognitive computing,...
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José Luis Garrido-Labrador, Daniel Puente-Gabarri, José Miguel Ramírez-Sanz, David Ayala-Dulanto and Jesus Maudes
The development of complex real-time platforms for the Internet of Things (IoT) opens up a promising future for the diagnosis and the optimization of machining processes. Many issues have still to be solved before IoT platforms can be profitable for smal...
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