9th Thermal and Fluids Engineering Conference (TFEC) - 卷 23, 2024, Machine Learning and Artificial Intelligence in Thermo-Fluid Engineering - ASTFE Digital LIbrary

ISSN Online: 2379-1748

9th Thermal and Fluids Engineering Conference (TFEC)

April, 21-24, 2024, Corvallis, OR, USA

内容

PHYSICALLY-CONSTRAINED HYBRID MODELING FOR VAPOR COMPRESSION SYSTEMS Yiyun Dong, Hongtao Qiao, Christopher R. Laughman pages 1259-1268 DOI: 10.1615/TFEC2024.ml.050269

OPTIMIZATION AND SENSITIVITY ANALYSIS OF DATA-DRIVEN SURROGATE MODEL OF A CONDENSER IN A DIRECT-CONTACT PACKED-BED WATER DESALINATION SYSTEM Mahyar Abedi, Xu Tan, André Bénard pages 1269-1277 DOI: 10.1615/TFEC2024.ml.050466

MACHINE LEARNING STUDY OF THERMAL MANAGEMENT OF A BATTERY PACK IN A CONVERGED CHANNEL Ahmed Saeed, Obaidallah Munteshari, Ali Alshehri pages 1279-1289 DOI: 10.1615/TFEC2024.ml.050624

Harnessing Multiple Time-Series Sensor Data: Evaluating the Efficacy of Various Machine Learning Models in Predicting Gas-Water Two-Phase Flow Minghan Bao, Rining Wu, Mi Wang, Kang Li pages 1291-1294 DOI: 10.1615/TFEC2024.ml.050649

CURVATURE ESTIMATION IN CONTEXT OF INTERFACE CAPTURING USING MACHINE LEARNING Brijesh Kumar, Nikhil Kumar Singh pages 1295-1297 DOI: 10.1615/TFEC2024.ml.050701

MACHINE LEARNING BASED MODELING AND IDENTIFICATION OF KEY INFLUENCING PARAMETERS FOR NUCLEATE POOL BOILING ON PLAIN AND ROUGHENED SURFACES Vijay K, Sateesh Gedupudi pages 1299-1314 DOI: 10.1615/TFEC2024.ml.050781

PHYSICS-INFORMED HYBRID DEEP LEARNING APPROACH IN RADIATIVE TRANSPORT OF MICRO-NANOSCALE POROUS MEDIUM Farhin Tabassum, Shima Hajimirza pages 1315-1318 DOI: 10.1615/TFEC2024.ml.050849

Classifying Road Debris Using Deep Learning Technique in Artificial Intelligence Sathish Kumar Gurupatham First, Ujjwal Purimetla, Narainkarthigeyan Singaram Balamurugan, Srinivas C. Koya pages 1319-1328 DOI: 10.1615/TFEC2024.ml.051021

MACHINE LEARNING BASED MODELING AND IDENTIFICATION OF KEY INFLUENCING PARAMETERS FOR NUCLEATE POOL BOILING ON PLAIN AND ROUGHENED SURFACES Manel Guecioueur, H. Houadef, Saadi Amine Aouanouk pages 1329-1337 DOI: 10.1615/TFEC2024.ml.051216