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Search Results - Algorithmic training
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Improving region based CNN object detector using bayesian optimization
Published 2018“…In my work, I'm developing a sequential searching algorithm based on Bayesian Optimization to propose better candidate bounding boxes for the objects of interest. …”
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Admission Control in Sliced Networks, with Predictive Analytics
Published 2024“…We design and evaluate two intra-slice admission control algorithms namely, the Decision Matrix algorithm and the Utility Index algorithm. …”
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Improved privacy Protection model for prevention of data over-collection in smart devices
Published 2022-12Conference ProceedingFull Text AvailableAccess Repository -
Volatility Model Pricing and Calibration with Neural Networks using Bayesian Optimisation
Published 2023“…Therefore, this dissertation explores the use of deep artificial neural networks to calibrate volatility models by deploying computational resources to train a model (offline) and then utilise the pre-trained model to competitively price options (online). …”
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Conversational mining via motif detection
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A prototype of a robust and secured access control system using principal component analysis
Published 2007ArticleFull Text AvailableAccess Repository -
Predicting mergers and acquisitions using machine learning
Published 2024“…A secondary objective is the development of a robust ensemble model for potential use in an investment portfolio. The algorithms were trained on a comprehensive historical dataset with diverse financial indicators. …”
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Partitioned particle filtering for target tracking in video sequences
Published 2024“…[page 9-12,17,18 are missing] A partitioned particle filtering algorithm is developed to track moving targets exhibiting complex interaction in a static environment, in a video sequence. …”
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Efficient End-to-end Autonomous Driving
Published 2020“…Steering a car through traffic is a complex task that is difficult to cast into algorithms. Therefore, researchers turn to train artificial neural networks from front-facing camera data stream along with the associated steering angles. …”
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Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification
Published 2021“…This data was then used to train, and test 3 different classification models (XGBoost, KNN & SVM) and the outcome was compared accordingly. …”
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Adaptive control of alumina concentration in the hall-heroult cell using neural network
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Assessing classification performance for sampled remote sensing data
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Automated stratigraphic classification and feature detection from images of borehole cores
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Automated elephant detection and classification from aerial infrared and colour images using deep learning
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Enhancing cross-dataset performance in distracted driver detection using body part activity recognition.
Published 2025“…Firstly, it evaluates the performance of current deep learning-based distracted driver detection algorithms across different datasets. Secondly, it proposes a robust algorithm for detecting distracted drivers by identifying key human body parts involved in operating a vehicle.…”
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Examining personality assessment in asynchronous video interviews (AVI): convergence between human personality judgements and AI/ML scoring
Published 2025“…Responses were scored by 15 trained human raters and a closed-dictionary text-analysis keyword-counting AI algorithm developed for this study, respectively. …”
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Counting animals in ecological images
Published 2022“…This research applies a blob detection algorithm primarily based on the determinant of the Hessian matrix to estimate counts of animals in aerial images of colonies in a user-friendly web application and trains an object detection model using deep convolutional neural networks to automatically identify and count penguin prey in 2053 images extracted from animal-borne videos. …”
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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems
Published 2025“…In this dissertation, MATLAB/Simulink software was used to develop the MPPT system, while the RL toolbox in MATLAB was used to train the DRL algorithms. Also, the P&O method was developed for comparison purposes and to validate the DRL algorithms' performance. …”
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Automated analysis of digital medical images in cervical cancer screening: A systematic review
Published 2024“…Results This systematic review found 16 studies which reported application of algorithms paired with novel image acquisition devices, and 52 studies reporting on standalone image analysis algorithms. …”
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Design and Development of an Autoinjector Tracking Device to Integrate with Emergency Service
Published 2025“…Additionally, the tracking algorithm to be validated with different Android mobile devices.…”
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