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  1. airport-staff-scheduling-optimization airport-staff-scheduling-optimization Public

    Develops a hybrid greedy algorithm for multi-objective airport staff shift scheduling. Addresses workforce allocation, fairness, and operational constraints, achieving efficient and practical sched…

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  2. influence-maximization influence-maximization Public

    Comparative experiments on Influence Maximization under Linear Threshold model using Tabu Search, Simulated Annealing, Genetic Algorithm, and degree-based Greedy baseline. Weighted graphs + random …

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  3. clip-finetuning-findingemo clip-finetuning-findingemo Public

    Fine-tuning CLIP (ViT-L/14) on the FindingEmo dataset for scene-level emotion understanding and zero-shot emotion classification in real-world social images.

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  4. airbnb-clustering-price-prediction airbnb-clustering-price-prediction Public

    Clustering and price prediction analysis on San Francisco Airbnb listings using machine learning methods. Explores spatial, textual, and numerical features to identify listing segments and model pr…

  5. ga-ai-training-scheduling ga-ai-training-scheduling Public

    Implements a genetic algorithm for large-scale AI model training task scheduling. Focuses on multi-objective optimization under resource constraints, aiming to improve training efficiency, load bal…

  6. uk-housing-price-analysis uk-housing-price-analysis Public

    Quantitative and time-series analysis of UK housing prices using econometric and statistical methods. Applies OLS, structural break tests, stationarity testing, and ARIMA models to examine cross-se…