IoT Resource Allocation and Optimization Based on Heuristic Algorithm. [PDF]
Sangaiah AK +5 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
Optimal adaptive heuristic algorithm based energy optimization with flexible loads using demand response in smart grid. [PDF]
Alghamdi H +5 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
Prediction and interpretive of motor vehicle traffic crashes severity based on random forest optimized by meta-heuristic algorithm. [PDF]
Wang X, Su Y, Zheng Z, Xu L.
europepmc +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
Design of application-oriented disease diagnosis model using a meta-heuristic algorithm. [PDF]
Wang Z, Wang S, Wang M, Sun Y.
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 Self-Learning Hyper-Heuristic Algorithm Based on a Genetic Algorithm: A Case Study on Prefabricated Modular Cabin Unit Logistics Scheduling in a Cruise Ship Manufacturer. [PDF]
Li J, Dong R, Wu X, Huang W, Lin P.
europepmc +1 more source

