Titlebook: Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications; Gilberto Rivera,Laura Cruz-Reyes,Alejandro Roset

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A Review on Machine Learning Aided Multi-omics Data Integration Techniques for Healthcare and post-translational modifications of histones (PTMs). These characteristics are all susceptible to disease-induced alterations in cell signalling and phenotypes. We need to use a multi-omics approach because many illnesses result from complex processes, and we must examine each of these traits a

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Fuzzified Case-Based Reasoning Blockchain Framework for Predictive Maintenance in Industry 4.0 maintenance procedure. However, procedures can be taken to curtail losses through appropriate prediction and planning. Smart businesses or Industry 4.0 are data-driven and largely count on computational intelligence for the generation, collection, transportation, sharing, storing, and transforming

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Machine Learning for Identifying Atomic Species from Optical Emission Spectra Generated by an Atmospl emission spectroscopy (OES) is presented. Experimental spectra were obtained from OES of an atmospheric pressure non-thermal plasma (APNTP) generated in parallel circular plates dielectric barrier discharge reactor (DBDR). APNTP’s emission was detected and acquired by a monochromator coupled to a

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Agent-Based Simulation: Several Scenariosnteractions with each other and the environment. Several platforms, such as GAMA and MASON, are available for developing agent-based simulations. In this chapter, we present a case study that showcases the versatility of agent-based simulation across different domains. Through various scenarios, we

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https://doi.org/10.1057/9780230603349the weather station prototype to Apache Flink, the Apache Kafka streaming tool was used. Finally, the Elasticsearch and Kibana tools were used for data processing and visualization. The tests carried out to verify the operation of all the components of the proposed architecture were satisfactory.