Data-driven Modelling and Simulation

Data-driven modelling and simulation is a powerful tool used in predictive modelling and decision making. It combines data analysis and mathematical modelling to generate a simulation or model of a real-world system or process. Through this, we can explore scenarios, assess risk, compare alternatives and make decisions. It can help us to build better products, services, and systems, and make quicker, more informed decisions. Data-driven modelling and simulation can be used in many industries such as banking, healthcare, and energy, to help improve the efficiency, accuracy and cost effectiveness of processes.

← Journal of Model Based Research

Related Articles

9 article(s) found
Modelling Development in Plant Anatomy
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Insight into Management Issues modeling for Perfect Business Simulation
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Enhanced Healing and Bone re-Modelling by Low-Level Laser Therapy for Rapid Pain Control in Pediatric Fractures
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Genetic-Mathematical Modelling of Mutational Processes in a Population
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Genetic-Mathematical Modelling of the Populations Interaction
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CFD Simulation Study on Shell Made of Composite Material when Subject to Temperatures Above 3000 Degrees Centigrade
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Simulation of Groundwater Movement from Pits Fenced by Zchukovsky's Sprunts
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Can Data-Driven Hypotheses Replace the Scientific Method?
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Mathematical Modelling of Typhoid Fever Transmission Dynamics and Intervention Impact in Harare, Zimbabwe (2018–2020)
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