Universal approach for predicting free-falling condensation heat transfer in the presence of non-condensable gases Read more about Universal approach for predicting free-falling condensation heat transfer in the presence of non-condensable gases
An artificial neural network model for predicting frictional pressure drop in micro-pin fin heat sinks Read more about An artificial neural network model for predicting frictional pressure drop in micro-pin fin heat sinks
Advanced Hot Reservoir Variable Conductance Heat Pipes for Planetary Landers Read more about Advanced Hot Reservoir Variable Conductance Heat Pipes for Planetary Landers
Thermal design and management of micro-pin fin heat sinks for energy-efficient three-dimensional stacked integrated circuits Read more about Thermal design and management of micro-pin fin heat sinks for energy-efficient three-dimensional stacked integrated circuits
Optimization of ANN Model Parameters to Predict Flow Boiling Heat Transfer Coefficient in Mini/micro-channel Heatsinks using Consolidated Data Read more about Optimization of ANN Model Parameters to Predict Flow Boiling Heat Transfer Coefficient in Mini/micro-channel Heatsinks using Consolidated Data
Machine learning algorithms to predict pressure drop in mini/micro-channel utilizing universal data Read more about Machine learning algorithms to predict pressure drop in mini/micro-channel utilizing universal data
Computational fluid dynamics model for a vapor conductance thermosyphon Read more about Computational fluid dynamics model for a vapor conductance thermosyphon
Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis Read more about Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis
HistoQC: An open-source quality control tool for digital pathology slides Read more about HistoQC: An open-source quality control tool for digital pathology slides
T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology Read more about T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology
