222 skills found · Page 8 of 8
leanlou / BDBO.DBOSwarm intelligence optimization algorithms: Dung Beetle Optimization Algorithm (DBO), Modified Balanced Dung Beetle optimization algorithm (BDBO) and Gaussian variant algorithm (GDBO). All three algorithm codes are wrapper functions. GDBO is better than LSHADE in engineering application.
gcrsef-gang / IintersectionAutomated traffic engineering using evolutionary optimization algorithms
ZongSingHuang / The Whale Optimization AlgorithmS. Mirjalili and A. Lewis, "The Whale Optimization Algorithm", Advances in Engineering Software, vol. 95, pp. 51-67, 2016.
JessicaAquino / Bank Churn PredictionCustomer churn prediction with feature engineering and LightGBM optimization.
netlab-lcy / LO TEShooting Large-scale Traffic Engineering by Combining Deep Learning and Optimization Approach (CoNEXT'25)
OptimalDesignLab / MISOBuilds on top of the MFEM library to enable engineering design optimization based on finite-element simulations.
yassnemo / Titanic Survival AnalysisProject for Titanic survival prediction, achieving 83.28% accuracy through advanced feature engineering, hyperparameter optimization, and ensemble methods.
SRIKANTH284 / Heart Disease Prediction Using Machine LearningUtilized machine learning techniques to predict prices associated with heart disease. Leverage advanced algorithms, feature engineering, and model optimization to provide accurate predictions
HamBa-m / Hambam Unconstraint OptimizationThis package contains the implementation of all the introduced algorithms in the course of unconstraint optimization for the 1st year AI engineering student at UM5-ENSIAS, with in addition, the possibility to plot the results of each optimization.
sunami09 / Quantitative Asset AllocationPython-based financial engineering project that utilizes real-time data from the S&P 500 index to construct a strategic asset allocation model for portfolio optimization.
Bayer-Group / SeqTeleporterSeqTeleporter: A tool designed to optimize and streamline the design of combinatorial protein library for protein engineering.
Shihong-Yin / MOEOSMALuo Q, Yin S, Zhou G, Meng W, Zhao Y, Zhou Y*. Multi-objective equilibrium optimizer slime mould algorithm and its application in solving engineering problems[J]. Structural and Multidisciplinary Optimization, 2023, 66: 114.
ernestoespinosajr / Claude Context EngineFeature-driven Context Engineering system that optimizes AI development through 11-layer architecture, isolated feature implementation, and continuous validation. Works with any language or framework (React Native, Python, Rust, etc.). Simplifies development with 3 powerful commands that maintain perfect context and ensure quality.
joseph-ishola / Machine Learning 2023 OVGUMachine Learning for Chemical Engineering is a transformative course that equips learners with the skills to use machine learning algorithms for optimizing processes, making accurate predictions, and improving efficiency in the chemical industry. Gain practical knowledge in data preprocessing, model evaluation, and application-specific techniques.
SuleynanAuir / Hateful Image ProjectThis project focuses on social media multimodal hate detection, addressing challenges such as image–text semantic inconsistency, implicit references, and sarcastic/ironic expressions. We develop a CLIP + LLMs based framework for multimodal representation learning and semantic alignment. Prompt Engineering (PE) optimizes LLM output, while multi-LLM
meaadalrehaili / KAUST Hackathon In GeoscienceMultiphase flow in porous media governs the recovery of subsurface energy including hydrocarbon and geothermal, and their management usually requires intensive simulation runs to quantify subsurface uncertainties and optimize engineering operations, which are often expensive. In this project, we ask you to develop machine-learning-based surrogate models to predict the oil production in a water-flooding reservoir. The data was generated from 1000 simulation runs with parameterizing rock properties and well controlling schedule, and our goal is to use these attributes to infer the ultimate oil production after 10 years and also the yearly oil production.
NinaNotman / MIMIC3 Extubation PredictionWe built an AI-based model to predict extubation outcome in ventilated ICU patients. As prolonged ventilatory support increases the risk of medical complications, a decision support tool could help to improve patient health by optimizing the outcome of planned extubations. Feature engineering and dimensionality reduction led to an overall best performance of the XGBoost model, when focusing on minimizing false positives. Length of mechanical ventilation, tracheotomy occurrence and oxygen saturation were the most important features in classifying extubation outcome.
danielrherber / Engineering Optimization ExamplesNo description available
wNextop / Nextop EnginePython Package which is for time-series-prediction & industrial-engineering-optimization
AdrianAntico / RodeoRODEO: R Optimized Data Engineering Operations
