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C&EN2d
Machine learning helps improve accuracy and efficiency of small-molecule calculations
Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...
Tech Xplore2d
Bilinear sequence regression model shows why AI excels at learning from word sequences
Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...
Machine learning modeling assists intelligent process analysis for high-performance virus filtration
A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...
IEEE6d
Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction
It is noteworthy that our model can conduct these procedures in a single stream and learn all network parameters jointly in an end-to-end manner. We validated the effectiveness of our method using the ...
IEEE7d
Solving Robotic Trajectory Sequential Writing Problem via Learning Character’s Structural and Sequential Information
Abstract: The writing sequence of numerals or letters often affects aesthetic aspects of the writing outcomes. As such, it remains a challenge for robotic calligraphy systems to perform, mimicking ...
C&EN26d
An Efficient Sequential Synthesis Model for Optimization of Steam-Organic Rankine Cycles and Work–Heat Integration
Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian ...