Essays about: "In-house training"
Showing result 1 - 5 of 15 essays containing the words In-house training.
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1. The future of IT Project Management & Delivery: NLP AI opportunities & challenges
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : This thesis explores the opportunities and challenges of integrating recent Natural Language Processing (NLP) Artificial Intelligence (AI) advancements into IT project management and delivery (PM&D). Using a qualitative design through hermeneutic phenomenology strategy, the study employs a semi-systematic literature review and semi-structured interviews to delve into NLP AI's potential impacts in IT PM&D, from both theoretical and practical standpoints. READ MORE
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2. Evaluating and comparing different key phrase-based web scraping methods for training domain-specific fasttext models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The demand for automation of simple tasks is constantly increasing. While some tasks are easy to automate because the logic is fixed and the process is streamlined, other tasks are harder because the performance of the task is heavily reliant on the judgment of a human expert. READ MORE
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3. Feasibility of Dynamic SPECT-Renography with Automated Evaluation Using a Deep Neural Network
University essay from Lunds universitet/SjukhusfysikerutbildningenAbstract : Introduction: Renography is a standard diagnostic examination that evaluates renal function, renal pelvic dilatation and urinary obstruction. Renography is performed by injecting a radiopharmaceutical (predominately 99mTc-MAG3) and using gamma camera to image the biodistribution in a dynamic sequence. READ MORE
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4. Semantic Segmentation of Iron Ore Pellets in the Cloud
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This master's thesis evaluates data annotation, semantic segmentation and Docker for use in AWS. The data provided has to be annotated and is to be used as a dataset for the creation of a neural network. Different neural network models are then to be compared based on performance. READ MORE
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5. Automated bone segmentation in computed tomography using deep learning with distance maps
University essay from Lunds universitet/Matematik LTHAbstract : 3D-models of bone structures from computed tomography (CT) data can be used for surgical planning, education and a wide range of other purposes. They can also be used in both digital and 3D-printed format. The currently used process to obtain such models consists of a combination of thresholding, morphological operations and manual adjustments. READ MORE