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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

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Showing 1 to 12 of 12 for “"hybrid Machine learning"”.

  1. Hybrid Machine Learning Approach for Predictive Modeling of Complex Systems

    Singh, Shubhendu Kumar; 0000-0003-1447-8120State University of New York at Buffalo2019

    M.S.

    buffalo Repository record

  2. Portfolio Optimization Using a Hybrid Machine Learning Stock Selection Model

    Masuda, Joshua S.Massachusetts Institute of Technology2024

    … of a future asset. With recent developments in machine learning, there are significant prediction tools available that can be applied to portfolio selection. Financial markets are known to be dynamic and complex, but algorithms are designed to capture patterns in the data. In this paper, seven …

    mit Repository record

  3. Improving Computational Efficiency of MRI Brain Tumour Analysis Using Hybrid Machine Learning Models

    Netshamutshedzi, Ndivhuwo2026

    … study focuses on evaluating the usefulness of machine learning (ML) and deep learning (DL) models in classifying brain tumor and non-tumor cases using a dataset sourced from Kaggle. After preprocessing, the dataset was analyzed using Support Vector Machines (SVM), VGG-19, and YOLOv10 models. …

    venda Repository record

  4. Automatic Extraction of Computer Science Concept Phrases Using a Hybrid Machine Learning Paradigm

    Jahin, S M Abrar2022

    With the proliferation of computer science in recent years in modern society, the number of computer science-related employment is expanding quickly. Software engineer has been chosen as the best job for 2023 based on pay, stress level, opportunity for professional growth, and balance between work …

    iupui Repository record

  5. Reading between the brainwaves: exploring ADHD subtypes with EEG using hybrid machine learning methods

    Neykova, N.2025

    tilburg Repository record

  6. Minimizing grid loss imbalance: a hybrid machine learning framework for Short-Term electricity Infeed Forecasting under information delays

    Asselman, R.2026

    tilburg Repository record

  7. Personality-Based Hybrid Machine Learning Model with Similarity Calculation Algorithm for Mentor-Mentee Matching Using Collaborative and Content Filtering Methods

    Varghese, Jitty2024

    auckland-tech

  8. The nature, structure, and neural signature of early life adversity

    Vedechkina, MariaUniversity of Cambridge2024

    … mental health in adversity-exposed youth using a hybrid machine-learning approach. The findings challenge existing theoretical models by demonstrating no specificity between the type or severity of exposure and cognitive function. They also suggest that cognition is not a relevant risk marker for …

    cambridge Repository record

  9. Applications of Machine Learning and First-Principle Modeling to Evaluate Design Enhancements in Autoinjectors

    Singh, AnkitaMassachusetts Institute of Technology2021

    … programs. The goal of this project is to use machine learning to augment design decisions and provide products that truly resonate with Amgen’s mission - “To serve patients”. This thesis presents a hybrid machine learning and first principle based model that can be used by Amgen to enhance the …

    mit Repository record

  10. Distributed Simulation Methods and Algorithms for Superconducting Quantum Computer Reliability

    Vallero, MarzioUniversità degli studi di Trento2026

    … in the context of the reliability of hybrid machine learning algorithms, which are going to play an ever important role in the high performance computing systems of the future. These contributions press on in the quest for knowledge, impacting the quantum computing stack, correlating …

    trento Repository record

  11. A machine learning hybrid approach to forecasting equity returns volatility: A South African perspective.

    Tloubatla, Tabataba SimonDepartment of Finance and Tax2024

    … (Long-Short-Term-memory) and SVM (Support Vector Machines) (specifically machine learning algorithms). Machine learning in various forms is currently being explored as an alternative for forecasting the volatility of financial market returns. In this study this exploration is continued by …

    cape-town Repository record

  12. Integrated Process Modeling and Data Analytics for Optimizing Polyolefin Manufacturing

    Sharma, NiketVirginia Tech2021

    … in a complex system. Data analytics and machine learning (ML) have been applied in the chemical process industry for accurate predictions for data-based soft sensors and process monitoring/control. Specifically, for polymer processes, they are very useful since the polymer quality …

    vt Repository record