Customized image post-processing algorithm for maximized visibility of hemorrhage. by Ahnul Ha (4691575)

Optimize process data and final results by Dawei Wang (471687)

Maximizing fuzzy goal. by Mohammadmahdi Taheri (21722285)

Generative design: information flow between genetic algorithm and parametric design in a steel structure construction by Renato Godoi da Cruz (12656088)

“…Therefore, it is relevant to note that the designer accepts a reduced creative control over the final shape in favor of control over the core principles that constitute the optimisation algorithms. …”

Schematic representation of data processing and analysis. by Yang Zhang (30734)

Research process flowchart. by Amir Sabripoor (18605543)

“…Utilizing the Mamdani algorithm as a fuzzy inference engine and the Center of Gravity algorithm for tooling, we expressed the probability and severity of each risk. …”

Scheduling stochastic distributed flexible job shops using an multi-objective evolutionary algorithm with simulation evaluation by Yaping Fu (372303)

“…Finally, a mathematical optimisation solver, CPLEX, is employed to validate the developed model and optimisation approach. …”

Example depiction of the autoML process. by Cynthia Lokker (3813832)

Data_Sheet_1_Intensity Estimation for Poisson Process With Compositional Noise.pdf by Glenna Schluck (8832551)

MCLP_quantum_annealer_V0.5 by Anonymous Anonymous (4854526)

I-NSGA-II-RF algorithm. by Xiaohua Zeng (793632)

“…Hence, our motivation for this article is to propose an improved many-objective optimization algorithm integrating random forest (I-NSGA-II-RF) algorithm with a three-stage feature engineering process in order to decrease the computational complexity and improve the accuracy of prediction system. …”

The pareto front obtained by each algorithm. by Xiaohua Zeng (793632)

“…Hence, our motivation for this article is to propose an improved many-objective optimization algorithm integrating random forest (I-NSGA-II-RF) algorithm with a three-stage feature engineering process in order to decrease the computational complexity and improve the accuracy of prediction system. …”

BOPIM: Bayesian Optimization for Influence Maximization on Temporal Networks by Eric Yanchenko (3266514)

“…<p>The goal of influence maximization (IM) is to select a small set of seed nodes which maximizes the spread of influence on a network. …”

Data_Sheet_1_A multi-class logistic regression algorithm to reliably infer network connectivity from cell membrane potentials.PDF by Thierry Nieus (165355)

Supplementary material for the paper “Probabilistic hydrological post-processing at scale: Why and how to apply machine-learning quantile regression algorithms” by Georgia Papacharalampous (4399993)

“…We conduct a large-scale benchmark experiment aiming to advance the use of machine-learning quantile regression algorithms for probabilistic hydrological post-processing “at scale” within operational contexts. …”

Flow diagram of the patient selection process. by Li Wang (15202)

Application of Machine Learning Algorithms to Estimate Enzyme Loading, Immobilization Yield, Activity Retention, and Reusability of Enzyme–Metal–Organic Framework Biocatalysts by Milton Chai (9986403)

“…Twelve input variables, including the metal and ligand properties of MOF, as well as the enzyme properties, were integrated and fed into two ML algorithmsrandom forest and Gaussian process regression (GPR)to predict model outputs. …”

Schematic representation of semi-automated algorithm for organoids analyzing. by Anna Demchenko (18449439)

Application of Optimized Deep Learning Mechanism for Recognition and Categorization of Retinal Diseases by dhafer Alhajim (18558925)

Reducing NOx Emissions in Pyrolysis Machines for Biochar Production: A machine learning approach by Marius Köppel (14582693)