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Now showing items 81-90 of 92
BLoCNet: A Novel Deep Learning Model for Cyber Attack Detection
(2021-12-01)
Intrusion detection systems (IDS) play a critical role in cybersecurity and are used to identify malicious behaviour in network traffic. The weakness of modern approaches is that they are reactive responses reliant on ...
Diagnosing CDOM Dynamics in a River-Dominated Coastal Margin: Application to the Texas-Louisiana Shelf Using Machine Learning and Autonomous Vehicles
(2022-01-04)
Both marine and terrestrial dissolved organic matter can play a major role in regulating the biogeochemistry and oxygen demand of the coastal ocean and continental shelf region. Where organic matter originates is not the ...
Real-Time Big Data Analytics with Computational Intelligence Approaches for Energy Load Forecasting
(2021-10-27)
In a real-time scenario of load forecasting, it is crucial to determine the future electric energy consumption in power distribution electrical networks. The electric energy forecasting models need to be updated with ...
Bayesian Machine Learning on Graphs
(2021-12-03)
In this dissertation, we propose novel Bayesian machine learning models to solve various graph analytics problems, including graph representation learning, graph generative modeling, structured semi-supervised learning, ...
FEA and Machine Learning Techniques for Hidden Structure Analysis
(2021-04-13)
The hidden structure in this study contains two objects: one is the root system, the other is the non-visible bubble defect. The plant root system absorbs water and necessary nutrients and also synthesizes organic matter, ...
Scalable Systolic Array Architecture (SSAA) - A General Convolutional Neural Network ISA and Compiler-Enabled Dataflow to Maximize Parallelism While Reducing Memory Utilization
(2020-12-02)
Convolutional Neural Networks have become the standard mechanism for machine vision problems due to their high accuracy and ability to keep improving with new data. Although precise, these algorithms are mathematically ...
Design of a Machine Learning Algorithm To Detect Volumetric Water Content Visually
(2022-07-20)
Soil volumetric water content (VWC) has proven to be a good predictor of water stress in turfgrass. Measuring soil volumetric water content is most commonly performed using time domain reflectometry (TDR) sensors, which ...
Application of Botanical Composition Identification and Accuracy Assessment for Grassland Mixtures and Brush from Unoccupied Aerial System Imagery
(2022-07-26)
Grassland comprises approximately 40.5% of terrestrial land area, which is around 5.25 billion ha in total. Grasslands are vital, multi-functional ecosystems for effective nutrient cycling, and habitat and forage for ...
Wearable Sensors for Precision Medicine Through Personalized, Holistic and Context-Aware Analytics
(2021-10-11)
Recently, a growing percentage of healthcare takes place outside the traditional walls of clinical care and is tightly coupled with daily experiences. The field of remote and decentralized patient care and precision medicine, ...
A Modular Framework for Training Autonomous Systems via Human Interaction
(2022-01-11)
Recent successes in the field of robot learning have combined reinforcement learning algorithms and deep neural networks. Yet, reinforcement learning has not been widely applied to robotics and real world scenarios. This ...