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The book focuses on mathematical modelling of COVID-19 pandemic using the Susceptible, Infectious, and Recovered (SIR) model. The book emphasizes on how the pandemic actually spreads out, lockdown impact analysis, and future course of actions based on mathematical calculations.
This book comprises select proceedings of the 7th International Conference on Data Science and Engineering (ICDSE 2021). This book tries to... Læs mere
This book focuses on the multi-omics big-data integration, the data-mining techniques and the cutting-edge omics researches... Læs mere
This book covers research work spanning the breadth of ventures, a variety of challenges and the finest of techniques used to address data and analytics, by subject matter experts from the business world.
This book discusses the role of mobile network data in urban informatics, particularly how mobile network data is utilized in the mobility context, where approaches, models, and systems are developed for understanding travel behavior.
This book explores the application of data mining and machine learning techniques in studying the activity pattern, decision-making skills, misconducts, and actions resulting in the intervention of VAR in European soccer leagues referees.
This book constitutes the refereed proceedings of the 18th China Conference onMachine Translation, CCMT 2022, held in Lhasa, China, during August 6–10, 2022. The 16 full papers were included in this book were carefully reviewed and selected from 73 submissions.
This book examines the abilities of new machine learning models for predicting ore grade in mining engineering. In this book, the author... Læs mere