How Do Engineers Overcome the Thermodynamic Challenges of High-Speed Size Reduction?

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Enhanced Data Sampling and Feature Generation for Machine Learning-based Lithography Hotspot Detection by Ismail, Mohamed

Subjects: “…data reduction…”
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Machine Learning Applications to Static Timing Analysis by Raslan, Waseem Mohamed

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Methods for sugarcane harvest detection using polarimetric SAR by Portnoi, Michael

Subjects: “…Machine learning…”
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ADR-Miner: An Ant-based data reduction algorithm for classification by Abdel Salam, Ismail Mohamed Anwar

“…Two widely applied data preparation methods are feature selection and instance selection, which fall under the umbrella of data reduction. For my research I propose ADR-Miner, a novel data reduction algorithm that utilizes ant colony optimization (ACO). …”
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Application of machine learning with electroencephalography in seizure detection. by Volschenk, Andre Daniel

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Project Leanness Score: A Machine Learning Approach by Said, Julia

“…Fifth, training and validating models using machine learning algorithms such as regression, decision trees, and artificial neural networks to predict the schedule and budget performance of construction projects using the factors of the leanness score. …”
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A Machine Learning Model for Octane Number Prediction by Spencer, Victor

“…Machine learning models are data driven with primarily regression and deep learning methods being used in literature as prediction models. …”
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ISO-maps for Non-linear Dimension Reduction - Addressing Geometric and Numerical Issues Observed in Practice by Evert, Francois

“…In the context of modern day machine learning applications, such assumptions can rarely be justified. …”
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Preconditioning for feature selection in classification by Pretorius, Jani

Subjects: “…Supervised learning (Machine learning)…”
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Development of a risk reduction model for after-sales service on Chinese agricultural machinery in South Africa

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Identifying decision boundaries to explain black-box machine learning predictions by Rowan, Adriaan Izak

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Modeling and control of brushless doubly-fed bar cage induction machines by Hutton, Tainton

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Enhancement of digital elevation models using tree-based ensemble machine learning algorithms by Okolie, Chukwuma

“…The corrections achieved significant and highly competitive accuracy gains of up to 64% RMSE (68% MAE) reduction in Copernicus DEM and up to 78% RMSE (82% MAE) reduction in AW3D DEM. …”
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An Optimized LTE-Based Technique for Drone Base Station 3D Placement and Resource Allocation in Delay-Sensitive M2M Networks by Fahim, Ahmed

“…Many applications can benefit from such deployments in particular machine-to-machine (M2M) communications. Drones are expected to facilitate extending wireless network access for both human users and the smart machine-type-communication devices (MTCDs) that have strict and diverse quality of service (QoS) requirements. …”
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Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification by Youssef, Sarah

“…Research methodology implemented is based on feature extraction using signal analysis, taking advantage of the similarity between physical signals measured by machines and raw financial data. Accordingly, Continuous Wavelet Transform (CWT) is applied on actual manipulation data for feature extraction, Principal Component Analysis (PCA) and factor analysis are used for dimensionality reduction and then Machine Learning Classifiers are trained and tested. …”
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Design, analysis and prototyping of a high speed surface mounted permanent magnet machine by Ng'onga, Maxas

“…The increase in demand for high speed machines has been driven by the industry’s requirement for cost reductions, higher robustness & higher efficiencies. …”
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Methods to quantify and reduce rotor losses in a solid rotor yoke permanent magnet machine by Wills, Dominic

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