NUMERICAL ANALYSIS OF SHELL AND TUBE HEAT EXCHANGER WITH COMBINATION OF DIFFERENT BAFFLES



Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models

Recent progress in machine learning has shown how to forecast and, to some extent, learn the dynamics of a model from its output, resorting in particular to neural networks and deep learning techniques.We will show how the same goal can be directly achieved using data assimilation techniques without leveraging on machine learning software libraries

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Self-Organized Connectivity Control and Optimization Subjected to Dispersion of Mobile Ad Hoc Sensor Networks

This paper addresses the problem of the Sandalwood connectivity control and the self-organized deployment/dispersion of a team of mobile ad hoc sensor nodes.First, to reduce redundant communication links while preserving global connectivity, a distributed link removal algorithm is developed that only requires local information of no more than two-h

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