Essays about: "budget or not"
Showing result 1 - 5 of 199 essays containing the words budget or not.
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1. Analyzing the performance of active learning strategies on machine learning problems
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. READ MORE
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2. Data-driven decisions in Sports
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : In recent years, many sectors such as insurance, banking, retail, etc. have adopted Big Data architectures to boost their business activities. Such tools not only suppose a greater profit for thesecompanies but also allow them to gain a better understanding of their customers and their needs. READ MORE
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3. New natural gas power plants in the EU : -The risks of stranded assets under different fuel and carbon price scenarios
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Current and planned fossil fuelled electricity generation is expected to meet or exceed the global carbon budget for 2°C, without including emissions from any other economic sector. At the current rate, the EU ETS will stop issuing new emissions allowances to industry and power plants before 2040. READ MORE
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4. Self-learning for 3D segmentation of medical images from single and few-slice annotation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Training deep-learning networks to segment a particular region of interest (ROI) in 3D medical acquisitions (also called volumes) usually requires annotating a lot of data upstream because of the predominant fully supervised nature of the existing stateof-the-art models. To alleviate this annotation burden for medical experts and the associated cost, leveraging self-learning models, whose strength lies in their ability to be trained with unlabeled data, is a natural and straightforward approach. READ MORE
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5. Probing the Structure of Ionised ISM in Lyman-Continuum-Leaking Green Pea Galaxies with MUSE
University essay from Uppsala universitet/Institutionen för fysik och astronomiAbstract : Lyman continuum (LyC) photons are known to be responsible for reionising the universe after the end of the Dark Ages, which marked a period called the Epoch of Reionisation (EoR). While these high-energy photons are thought to predominantly originate from young, hot, massive stars within the earliest galaxies, and contributions from high-energy sources like quasars and AGN, the origins of these photons are yet not well known and highly debated. READ MORE
