Titlebook: Artificial Intelligence Tools and Applications in Embedded and Mobile Systems; Selected Papers from Jorge Marx Gómez,Anael Elikana Sam,Devo

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Improving Robustness of Optimized Parameters Gradient Tree Boosting for Crime Forecast Model,oking for ways of combating crime and adapting policing techniques to curb rising crime rates. The application of artificial intelligence for crime forecasting through optimized parameters of gradient tree boosting using dragonfly algorithm (DA-GTB) has recently attracted research attention. However

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Influence of Microservice Design Patterns for Data Science Workflows, data science workflows. In recent literature, many patterns for the development of microservice architectures have evolved mainly for transaction-oriented applications. This paper investigates suitable design patterns for data science workflows. For this, we will implement a data science workflow u

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A Systematic Literature Review Toward Standardization of Business Rules Discovery in the Context ofo meet business objectives. Data mining is a common method to discover business rules from the business process event logs, in which different data mining algorithms can be applied to discover patterns or rules within the event log data. Moreover, standardizing the process of business rules discover

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Contextual Multi-View Graph Community Detection Using Graph Neural Networks,t popular abstract data types (or known as data structure) is Graph. It is a complex data type that can capture and detail complex system components and relations. Graph data structure is used in numerous industrial scenarios and domains such as social networks (Wu et al., 2020, ., 96016–96026), e-c

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,Feature Selection Approach to Improve Malaria Prediction Model’s Performance for High- and Low-Ende like microscopic and rapid diagnostic tests (RDT), are the recommended and standard tools for diagnosing malaria. However, clinical diagnosis is advised in areas where parasitological tests for malaria are not readily available. This method is the least expensive and most widely practiced. A clinic

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2-Stage Hybrid Ensemble-Based Heterogeneous Committee Machine for Improving Soil Fertility Status Pp productivity. Contemporarily, advanced machine learning modelling techniques have been useful in delivering actionable information in various fields. In agriculture, soils in particular, the same has been the case in various tasks including soil nutrients analysis and fertility status predictions,