Search Results - "Stacking model"

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  1. 1
    Improving Cloud Efficiency: A Machine Learning-Based Stacking Model for CPU Utilization Prediction

    Improving Cloud Efficiency: A Machine Learning-Based Stacking Model for CPU Utilization Prediction

    Javeed, Ashir, Borg, Anton, Grahn, Hakan, Lundberg, Lars, Patel, Dhyey, Shirinbab, Sogand

    2025 8th International Conference on Data Science and Machine Learning Applications (CDMA)

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  2. 2
    Optimizing Inventory Management using Demand Forecasting based Ensemble Stacking Model with Hyperparameter Tuning

    Optimizing Inventory Management using Demand Forecasting based Ensemble Stacking Model with Hyperparameter Tuning

    Pavithra, V., Abbas, Haayder M., B M, Manjula, Chidambaram, P. K., S, Jothilakshmi

    2025 International Conference on Intelligent Systems and Computational Networks (ICISCN)

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  3. 3
    Modeling PFAS Sorption in Soils Using Machine Learning

    Modeling PFAS Sorption in Soils Using Machine Learning

    Fabregat-Palau, Joelaff1, Ershadi, Amirhosseinaff1, Finkel, Michaelaff1, Rigol, Annaaff2, aff3, Vidal, Miquelaff2, Grathwohl, Peteraff1

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  4. 4
    Estimation of Above-Ground Biomass for Dendrocalamus Giganteus Utilizing Spaceborne LiDAR GEDI Data

    Estimation of Above-Ground Biomass for Dendrocalamus Giganteus Utilizing Spaceborne LiDAR GEDI Data

    Yang, H., Qin, Z., Shu, Q., Xu, L., Yu, J., Luo, S., Wu, Z., Xia, C., Yang, Z.

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  5. 5
    ThyroStack: A Stacking Model for Thyroid Disease Prediction

    ThyroStack: A Stacking Model for Thyroid Disease Prediction

    Islam, Kazi Hasebul, Biswas, Dilu, Akash, Md. Mohibbullah, Tasnim, Tanpia, Bin Habib, Al Zadid Sultan

    2024 6th International Conference on Sustainable Technologies for Industry 5.0 (STI)

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  6. 6
    Apprising the Effectiveness in Predicting the Quality of Indian Rivers Using Two-layered Ensemble Learning Approach

    Apprising the Effectiveness in Predicting the Quality of Indian Rivers Using Two-layered Ensemble Learning Approach

    V, Karpagam

    2024 International Conference on Emerging Research in Computational Science (ICERCS)

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  7. 7
    Cluster Boost: Stacked Machine Learning Model for Customer Behaviour Analysis in E-commerce

    Cluster Boost: Stacked Machine Learning Model for Customer Behaviour Analysis in E-commerce

    Wong, Zheng-Jie, Lim, Jit-Yan, Lim, Kian-Ming, Lee, Chin-Poo, Tan, Yong-Xuan, Ang, Ee-Mae

    2024 IEEE 12th Conference on Systems, Process & Control (ICSPC)

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  8. 8
    Advancing Chronic Kidney Disease Diagnosis and Prediction Using a Stacked Model Approach

    Advancing Chronic Kidney Disease Diagnosis and Prediction Using a Stacked Model Approach

    Reddy, N. Narendra, Rupa Devi, B, Swathi, B., Jayasree, L., Suryanarayana, G., Athinarayanan, S

    2024 2nd International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR)

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  9. 9
    Classification of Depression, Anxiety and Stress from Handwriting and Drawing with Stacking Models

    Classification of Depression, Anxiety and Stress from Handwriting and Drawing with Stacking Models

    Bayrak, Semra, Golgiyaz, Sedat, Aykut, Murat

    2024 8th International Symposium on Innovative Approaches in Smart Technologies (ISAS)

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  10. 10
    Fast Classification Model Based on Genetic Algorithm and XGBoost-RandomForest Stacking Model

    Fast Classification Model Based on Genetic Algorithm and XGBoost-RandomForest Stacking Model

    Zhou, Yanliang, Liu, Tianhe, Wang, Jiawen, Cheng, Jie

    2024 14th International Conference on Information Science and Technology (ICIST)

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  11. 11
    A Comprehensive Framework for Advanced Machine Learning and Deep Learning Models in Cervical Cancer Prediction

    A Comprehensive Framework for Advanced Machine Learning and Deep Learning Models in Cervical Cancer Prediction

    Rakin, Abdullah Al, Nayyem, Mohammad Navid, Sharif, Kazi Shaharair, Hossain, Al-Amin, Arafin, Rudmila

    2024 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)

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  12. 12
    Improving Dog Breed Classification Performance through Stacked Deep Learning Models with Imbalanced Data

    Improving Dog Breed Classification Performance through Stacked Deep Learning Models with Imbalanced Data

    Srinivasan, R., Iniyan, S., Santhanakrishnan, C., Subash, R., Sudhakaran, Pradeep

    2024 International Conference on IoT, Communication and Automation Technology (ICICAT)

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  13. 13
    Fake Review Identification using Hybrid Fusion of Machine Learning and Natural Language Processing Techniques

    Fake Review Identification using Hybrid Fusion of Machine Learning and Natural Language Processing Techniques

    Veda, Chitti Reddy, Apoorva, Namburu, Vishnu, N., Velpuru, Muni Sekhar, Akshaya, Hammikolla, Siripuram, Sai Prakhyath

    2024 3rd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON)

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  14. 14
    Machine Learning Techniques for Brain Stroke Analysis and Prediction

    Machine Learning Techniques for Brain Stroke Analysis and Prediction

    Hasan, Rabita, Islam, Sheikh Md. Rabiul, Khan, Md Raihan

    2024 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON)

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  15. 15
    A Dual-Stage Ensemble Approach to Detect and Classify Ransomware Attacks

    A Dual-Stage Ensemble Approach to Detect and Classify Ransomware Attacks

    Yan, Peizhi, Khoei, Tala Talaei, Hyder, Reena Sajad, Hyder, Reemaa Sajad

    2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)

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  16. 16
    Enhancing Stacking Model Fusion for Heart Disease Prediction

    Enhancing Stacking Model Fusion for Heart Disease Prediction

    Juwariyah, Siti, Utami, Ema

    2024 IEEE International Conference on Technology, Informatics, Management, Engineering and Environment (TIME-E)

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  17. 17
    Research on Building Thermal Load Prediction Method Based on Stacked XGBoost and Neural Network Models

    Research on Building Thermal Load Prediction Method Based on Stacked XGBoost and Neural Network Models

    Chen, Xuan, Zhao, Sijian

    2024 3rd International Conference on Smart City Challenges & Outcomes for Urban Transformation (SCOUT)

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  18. 18
    Boosting Weak Learners With Multi-Agent Reinforcement Learning for Enhanced Stacking Models: An Application on Driver Emotion Classification

    Boosting Weak Learners With Multi-Agent Reinforcement Learning for Enhanced Stacking Models: An Application on Driver Emotion Classification

    Kim, S., Jung, E., Shin, H., Yang, I., Woo, J.

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  19. 19
    Research on Data-Driven Carbon Emission Prediction Method for the Steel Industry

    Research on Data-Driven Carbon Emission Prediction Method for the Steel Industry

    He, Hai, Pan, Yuan, Tao, Yi, Li, Ziwen, Li, Guangdi

    2024 Second International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)

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  20. 20
    A Photovoltaic Power Theft Detection Method based on Data-driven Stacking Model

    A Photovoltaic Power Theft Detection Method based on Data-driven Stacking Model

    Xia, Zhuoqun, Lei, Xiangyu, Wang, Shiyu, Hu, Zhenzhen

    2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

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