Essays about: "non linear model"
Showing result 1 - 5 of 607 essays containing the words non linear model.
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1. Test Equipment for the LUCAS Chest Compression System: Incorporating Biomechanical Insights for Future Design Enhancements
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : The LUCAS Chest Compression System is a market leading mechanical cardiopulmonary resuscitation device, assisting medical professionals worldwide when treating patients with sudden cardiac arrest. The objective of this master thesis project was to develop a new, adjustable test equipment for the LUCAS device, allowing for tests on varying chest heights and stiffness levels. READ MORE
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2. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
University essay from Lunds universitet/Fysiska institutionenAbstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE
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3. Predicting Lithium-Ion Battery State of Health using Linear Regression
University essay from Uppsala universitet/Statistiska institutionenAbstract : Knowledge of battery health is very important. It provides insight into the capacity of a given system and allows the operators to plan ahead more efficiently. But measuring state of health (SoH) of a battery is difficult, and takes time. More importantly, the battery needs to be taken out of operation to be analysed correctly. READ MORE
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4. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. READ MORE
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5. Exploring adaptation of self-supervised representation learning to histopathology images for liver cancer detection
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This thesis explores adapting self-supervised representation learning to visual domains beyond natural scenes, focusing on medical imaging. The research addresses the central question: "How can self-supervised representation learning be specifically adapted for detecting liver cancer in histopathology images?" The study utilizes the PAIP 2019 dataset for liver cancer segmentation and employs a self-supervised approach based on the VICReg method. READ MORE
