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A Comparative Analysis of Machine Learning Based Power Flow Study with Custom Made Open Source Python Codes

A Comparative Analysis of Machine Learning Based Power Flow Study with Custom Made Open Source Python Codes

Added by Violet

Machine learning applied to fiber-fed focal plane wavefront sensing - a study of aberrated wave transmission through multimode optical fibers

Machine learning applied to fiber-fed focal plane wavefront sensing - a study of aberrated wave transmission through multimode optical fibers

Added by Violet

Assessment of the Effectiveness of Spectral Indices Derived from EnMAP Hyperspectral Imageries Using Machine Learning and Deep Learning Models for Winter Wheat Yield Prediction

Assessment of the Effectiveness of Spectral Indices Derived from EnMAP Hyperspectral Imageries Using Machine Learning and Deep Learning Models for Winter Wheat Yield Prediction

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Development of a Self-Updating System for the Prediction of Steel Mechanical Properties - by Machine Learning Procedures

Development of a Self-Updating System for the Prediction of Steel Mechanical Properties - by Machine Learning Procedures

Added by Violet

Latent Associations in Signed Graphs - Doctor of Philosophy Thesis

Latent Associations in Signed Graphs - Doctor of Philosophy Thesis

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System Inertia Cost Forecasting Using Machine Learning - A Data-Driven Approach for Grid Energy Trading in Great Britain

System Inertia Cost Forecasting Using Machine Learning - A Data-Driven Approach for Grid Energy Trading in Great Britain

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修改后的 Fay-Herriot 模型融合机器学习：用于贫困与农业住户人均支出的小区域估计

修改后的 Fay-Herriot 模型融合机器学习：用于贫困与农业住户人均支出的小区域估计

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A Machine Learning Model Integrating Remote Sensing, Ground Station, and Geospatial Data to Predict Fine-Resolution Daily Air Temperature for Tuscany, Italy - Research Summary

A Machine Learning Model Integrating Remote Sensing, Ground Station, and Geospatial Data to Predict Fine-Resolution Daily Air Temperature for Tuscany, Italy - Research Summary

Added by Violet

A Machine Learning-Based Predictive Framework for Patent Infringement Detection - Enhancing Intellectual Property Protection Through Hybrid Ensemble Models

A Machine Learning-Based Predictive Framework for Patent Infringement Detection - Enhancing Intellectual Property Protection Through Hybrid Ensemble Models

Added by Violet

Representations in Zero-Shot Meta-Reinforcement Learning - Doctoral Thesis

Representations in Zero-Shot Meta-Reinforcement Learning - Doctoral Thesis

Enhancing Carbon Capture And CO2 Reduction Processes Using Machine Learning And AI Technologies To Improve Biomedical Outcomes

Enhancing Carbon Capture And CO2 Reduction Processes Using Machine Learning And AI Technologies To Improve Biomedical Outcomes

Added by Violet

Human Cognitive Bias Mitigation Approaches to Fairness within the Machine Learning Value Chain - A Review and Research Agenda

Human Cognitive Bias Mitigation Approaches to Fairness within the Machine Learning Value Chain - A Review and Research Agenda

Added by Violet

Investigating Skin Cancer Diagnosis with Machine Learning - A Comparative Study of Feature Selection and Feature Extraction Techniques

Investigating Skin Cancer Diagnosis with Machine Learning - A Comparative Study of Feature Selection and Feature Extraction Techniques

Added by Violet

Raman Spectroscopy with Machine Learning in the Assessment of a FIT-Positive Bowel Screening Population - Assessing the Feasibility of Detecting Colorectal Cancer and Adenomas Using Human Serum Samples

Raman Spectroscopy with Machine Learning in the Assessment of a FIT-Positive Bowel Screening Population - Assessing the Feasibility of Detecting Colorectal Cancer and Adenomas Using Human Serum Samples

Analysis of the Environmental Impact of Food Production in Indonesia using Machine Learning Models Based on FAO Data

Analysis of the Environmental Impact of Food Production in Indonesia using Machine Learning Models Based on FAO Data

Added by Violet