...Proceedings of the ASME 2022 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems InterPACK2022 October 25-27, 2022, Garden Grove, California IPACK2022-96751 MACHINE LEARNING AND SIMULATION BASED TEMPERATURE PREDICTION ON HIGH...

... performance improvements. In this study, we investigate the performance of a machine learning (ML) approach to building a predictive model of the multi-objective and multi-design variable optimization of an air-cooled heat sink for single-phase immersion-cooled servers. Parametric simulations via high...

... temperature, flexing frequency, interval, and flex radius, might vary. Machine learning (ML) methods are needed prediction of state-of-health (SOH) degradation of the battery in various environmental conditions. It is not cost-effective to measure battery response in every condition, while the ANN ML might...

... the condensation and frosting mechanism and formation sequence on the vehicle surfaces (e.g., windshield and camera lenses), which is then used to determine the level of water on the lenses before the sensor vision is impeded. Third, we introduce and conceptualize machine learning models that can extract features...

.... However, extremely complex nature of two-phase flow physics involving flow patterns and phase transitions has been the major challenge for technology adoption in industry. This paper demonstrates a machine learning (ML) based model for evaluating the thermal performance and refrigerant mass flow rate...

... structure. The printing process itself is also a complex sequence to be appropriately modeled. It is also difficult to measure the thermal resistance and other properties due to the high speed motion of papers inside the machine. Therefore, as an alternative approach, machine learning can be used...