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Showing 1 to 20 of 21 results

Occupant behavior prediction model based on energy consumption using machine learning approaches

Occupant behavior prediction model based on energy consumption using machine learning approaches

Text (2018)

Part of Electronic Theses & Dissertations

Design and deployment of low-cost wireless sensor networks for real-time event detection and monitoring

Design and deployment of low-cost wireless sensor networks for real-time event detection and monitoring

Phillips, Dennis Edward

Text (2018)

Part of Electronic Theses & Dissertations

Performance analysis and privacy protection of network data

Performance analysis and privacy protection of network data

Ahmed, Faraz (Research engineer)

Text (2018)

Part of Electronic Theses & Dissertations

Efficient and secure message passing for machine learning

Efficient and secure message passing for machine learning

Text (2022)

Part of Electronic Theses & Dissertations

Efficient transfer learning for heterogeneous machine learning domains

Efficient transfer learning for heterogeneous machine learning domains

Text (2022)

Part of Electronic Theses & Dissertations

Network embeddings for data clustering, transition state identification, and energy landscape analysis

Network embeddings for data clustering, transition state identification, and energy landscape analysis

Mercurio, Paula

Text (2022)

Part of Electronic Theses & Dissertations

Deep convolutional networks for modeling geo-spatio-temporal relationships and extremes

Deep convolutional networks for modeling geo-spatio-temporal relationships and extremes

Text (2021)

Part of Electronic Theses & Dissertations

Paletteviz : a method for visualization of high-dimensional pareto-optimal front and its applications to multi-criteria decision making and analysis

Paletteviz : a method for visualization of high-dimensional pareto-optimal front and its applications to multi-criteria decision making and analysis

Talukder, Akm. Khaled Ahsan

Text (2022)

Part of Electronic Theses & Dissertations

SIGN LANGUAGE RECOGNIZER FRAMEWORK BASED ON DEEP LEARNING ALGORITHMS

SIGN LANGUAGE RECOGNIZER FRAMEWORK BASED ON DEEP LEARNING ALGORITHMS

Text (2021)

Part of Electronic Theses & Dissertations

Online Learning Algorithms for Mining Trajectory data and their Applications

Online Learning Algorithms for Mining Trajectory data and their Applications

Text (2021)

Part of Electronic Theses & Dissertations

Adaptive and automated deep recommender systems

Adaptive and automated deep recommender systems

Text (2021)

Part of Electronic Theses & Dissertations

Learning 3D model from 2D in-the-wild images

Learning 3D model from 2D in-the-wild images

Tran, Luan Quoc

Text (2020)

Part of Electronic Theses & Dissertations

Using semantic structure of the data and knowledge in question answering systems

Using semantic structure of the data and knowledge in question answering systems

Zheng, Chen (Research scientist)

Text (2022)

Part of Electronic Theses & Dissertations

NODE CLASSIFICATION IN SHIFTING LANDSCAPES : FAIRNESS AWARE DOMAIN ADAPTATION IN NETWORK DATA

NODE CLASSIFICATION IN SHIFTING LANDSCAPES : FAIRNESS AWARE DOMAIN ADAPTATION IN NETWORK DATA

Stephens, Anna Joy

Text (2023)

Part of Electronic Theses & Dissertations

Novel learning algorithms for mining geospatial data

Novel learning algorithms for mining geospatial data

Yuan, Shuai (Software engineer)

Text (2017)

Part of Electronic Theses & Dissertations

Novel computational methods for improving functional analysis for long noisy reads

Novel computational methods for improving functional analysis for long noisy reads

Text (2019)

Part of Electronic Theses & Dissertations

Multi-task learning and its application to geospatio-temporal data

Multi-task learning and its application to geospatio-temporal data

Text (2017)

Part of Electronic Theses & Dissertations

MICROBLOG GUIDED CRYPTOCURRENCY TRADING AND FRAMING ANALYSIS

MICROBLOG GUIDED CRYPTOCURRENCY TRADING AND FRAMING ANALYSIS

Pawlicka Maule, Anna Paula

Text (2020)

Part of Electronic Theses & Dissertations

Smartphone-based sensing systems for data-intensive applications

Smartphone-based sensing systems for data-intensive applications

Moazzami, Mohammad-Mahdi

Text (2017)

Part of Electronic Theses & Dissertations

Robust multi-task learning algorithms for predictive modeling of spatial and temporal data

Robust multi-task learning algorithms for predictive modeling of spatial and temporal data

Liu, Xi (Graduate of Michigan State University)

Text (2019)

Part of Electronic Theses & Dissertations