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831 tulosta hakusanalla Sivakumar Rajeshkumar

Análise de séries temporais de alterações climáticas

Análise de séries temporais de alterações climáticas

Mani N; Rithika S; Sivakumaran P. K.

Edicoes Nosso Conhecimento
2025
nidottu
Este livro explora a import ncia de uma previs o exacta da precipita o para a gest o dos recursos h dricos, a agricultura e a prepara o para cat strofes. Apresenta uma an lise comparativa de dois modelos de previs o - Regress o Vetorial de Apoio (SVR) e M dia M vel Integrada Auto Regressiva Sazonal (SARIMA) - utilizando dados hist ricos de precipita o de 2008 a 2021 para prever tend ncias de 2022 a 2026. Atrav s de t cnicas estat sticas e de visualiza o, como a an lise de tend ncias, m dias m veis, gr ficos de caixa, mapas de calor, pontua es Z e gr ficos de densidade, o estudo identifica padr es e anomalias nos dados de precipita o. Embora ambos os modelos apresentem uma boa capacidade de previs o, o SVR demonstra um desempenho superior, especialmente na capta o de padr es complexos e n o lineares. O livro destaca as vantagens da integra o de m todos de aprendizagem autom tica com ferramentas estat sticas tradicionais para melhorar a previs o da precipita o e apoiar decis es baseadas em dados na agricultura, planeamento ambiental e resili ncia clim tica.
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Getting Started with Enterprise Internet of Things: Design Approaches and Software Architecture Models

Getting Started with Enterprise Internet of Things: Design Approaches and Software Architecture Models

L. S. Jayashree; G. Selvakumar

Springer Nature Switzerland AG
2020
sidottu
This novel textbook introduces Enterprise Internet of Things from technology, management and business perspectives, carefully examining enterprise environments through the lens of modernization with the Internet of Things (IoT). It also includes detailed case studies to offer meaningful insights for readers from various disciplines and areas. The book analyzes the ways in which the technology could contribute to the enterprise world in terms of revenue and new business models, and addresses the strategies and principles involved in developing IoT solutions with software engineering practices such as DevOps and Micro services architecture principles. By doing so, it offers readers a clear overview of the power of Internet of Things in building next generation enterprise use cases. The book enables readers to understand the latest opportunities to create new business models in enterprises using the unprecedented level of device connectivity, and the wealth of data generated and information exchange among these devices. As such, it appeals to various user groups, such as engineers trying to solve problems in their own domains using Enterprise IoT, academics interested in gaining a better understanding of applications of IoT in large-scale enterprises, and researchers wanting to contribute to the ever-growing and complex area of IoT.
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Getting Started with Enterprise Internet of Things: Design Approaches and Software Architecture Models

Getting Started with Enterprise Internet of Things: Design Approaches and Software Architecture Models

L. S. Jayashree; G. Selvakumar

Springer Nature Switzerland AG
2021
nidottu
This novel textbook introduces Enterprise Internet of Things from technology, management and business perspectives, carefully examining enterprise environments through the lens of modernization with the Internet of Things (IoT). It also includes detailed case studies to offer meaningful insights for readers from various disciplines and areas. The book analyzes the ways in which the technology could contribute to the enterprise world in terms of revenue and new business models, and addresses the strategies and principles involved in developing IoT solutions with software engineering practices such as DevOps and Micro services architecture principles. By doing so, it offers readers a clear overview of the power of Internet of Things in building next generation enterprise use cases. The book enables readers to understand the latest opportunities to create new business models in enterprises using the unprecedented level of device connectivity, and the wealth of data generated and information exchange among these devices. As such, it appeals to various user groups, such as engineers trying to solve problems in their own domains using Enterprise IoT, academics interested in gaining a better understanding of applications of IoT in large-scale enterprises, and researchers wanting to contribute to the ever-growing and complex area of IoT.
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