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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass
Published 2025“…Deep learning approaches have made significant progress in digital image processing, particularly in object recognition and classification, and are among the most popular computer vision tools. …”
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184
Analysis of power system stability enhancement via excitation and FACTS-based stabilizers
Published 2004“…An eigenvalue-based objective function to increase the system damping and improve the system response is developed. Then, a real-coded genetic algorithm is employed to search for optimal controller parameters. …”
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185
Autopilot Design and Commercial Autopilot Evaluation Using Flybarless Helicopter
Published 2014Get full text
doctoralThesis -
186
Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE
Published 2023“…An integrated approach, featuring the application of advanced image processing techniques and geospatial analysis using machine learning, was adopted to characterise the site while automating the process and investigating its applicability. …”
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187
From Collatz Conjecture to chaos and hash function
Published 2023“…By incorporating the Collatz process and carefully considering key-controlled variables, the proposed model aims to offer enhanced security properties while meeting the necessary criteria for a reliable and effective hashing mechanism. …”
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188
A Navigation System for Indoor/Outdoor Environments with an Unmanned Ground Vehicle (UGV)
Published 2015Get full text
doctoralThesis -
189
A COMPLETE INSPECTION PLAN FOR DEPENDENT MULTICHARACTERISTIC CRITICAL COMPONENTS
Published 2020“…A mathematical model and an algorithm for obtaining the optimal number of repeat inspections are developed and demonstrated by an example. …”
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Integrating Quality And Maintenance Decisions In A Production- Inventory Model For Deteriorating Items
Published 2020“…A heuristic solution algorithm is developed to determine the production and inspection schedules, and a numerical example is solved.…”
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192
Decision-level Gait Fusion for Human Identification at a Distance
Published 2014Get full text
doctoralThesis -
193
Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
Published 2021Get full text
doctoralThesis -
194
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195
DASSI: differential architecture search for splice identification from DNA sequences
Published 2022“…The demand for robust algorithms over the recent years has brought huge success in the field of Deep Learning (DL) in solving many difficult tasks in image, speech and natural language processing by automating the manual process of architecture design. …”
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196
Exploratory risk prediction of type II diabetes with isolation forests and novel biomarkers
Published 2024“…In particular, Isolation Forest (iForest) was applied as an anomaly detection algorithm to address class imbalance. iForest was trained on the control group data to detect cases of high risk for T2DM development as outliers. …”
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197
Anomaly Detection Based Framework for Profile Monitoring
Published 2023Get full text
doctoralThesis -
198
A Machine Learning Approach to Predicting Diabetes Complications
Published 2021Get full text
doctoralThesis -
199
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Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
Published 2022“…This study will provide useful references for a wide range of future studies for developing accurate and practical wind power forecasting models.…”