Toward intelligent IoT scheduling with quantum-inspired latent models for energy and latency optimization. [PDF]
Alyas T +6 more
europepmc +1 more source
Computational and Machine‐Learning Studies of Ethylene Oligomerization
This review focuses on recent advances in computational and machine‐learning studies of ethylene oligomerization, highlighting mainstream catalyst systems based on Co, Ta, Ti, Zr, and Hf, with particular emphasis on Fe‐ and Cr‐based catalysts and their controlling factors governing reactivity and LAO distribution.
Zhixin Qin +3 more
wiley +1 more source
InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health records. [PDF]
Kauffman J +10 more
europepmc +1 more source
Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches
Raw uncertainty estimates from deep evidential regression and deep ensembles are systematically miscalibrated. Post hoc calibration aligns predicted uncertainty with true errors, improving reliability and enabling efficient active learning and reducing computational cost while preserving predictive accuracy.
Bidhan Chandra Garain +3 more
wiley +1 more source
A Short‐Cut Design Approach to Evaluate Reboiler Designs in Vapor Recompression Scenarios
A short‐cut model framework that incorporates mechanical vapor recompression (MVR) requirements into reboiler design is presented, which is particularly beneficial during early process development with limited data or initial feasibility assessments.
Franziska Lais +2 more
wiley +1 more source
Pre-hospital cardiac arrest: a call for moral agency in modern medical practice. [PDF]
Joerck CL +7 more
europepmc +1 more source
Optimization of 3D‐Printed Structured Packings—Current State and Future Developments
This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke +3 more
wiley +1 more source
A Comprehensive Review of Metaheuristic Algorithms for Node Placement in UAV Communication Networks. [PDF]
Temesheva SA +7 more
europepmc +1 more source
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source

