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Showing result 1 - 5 of 6 essays matching the above criteria.
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1. Predicting inflow and infiltration to wastewater networks based on temperature measurements
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Sewer pipelines are deteriorating due to aging and sub optimal material selections, leading to the infiltration of clean ground and rainfall water into the pipes. It is estimated that a significant portion (up to 40-50%) of the water entering wastewater treatment plants is actually clean infiltrated water. READ MORE
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2. Production, utilization and implementation of coconut charcoal in rural Mozambique: As a clean cooking fuel and a way to improve economic empowerment of women in Linga Linga
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : Luftförorening är ett globalt hälsoproblem och i Moçambique orsakas inomhusluftförorening främst av matlagning över öppen eld. Denna studie undersöker potentialen hos kokosnötskol som en renare bränslekälla för matlagning och som en möjlig inkomstkälla för kvinnor i byn Linga Linga, Moçambique. READ MORE
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3. Coming Clean : An exploratory study of sustainable consumption and clean label consumer motivations
University essay from Jönköping University/IHH, FöretagsekonomiAbstract : Background: The food industry has become one of the key actors in today’s sustainability equation. Consumers are becoming more conscious than ever before, putting more thought into ingredients and packaging. The number one trend of 2020 is clean label food, thus inviting for research within this specific field. READ MORE
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4. Exploring Cross-lingual Sublanguage Classification with Multi-lingual Word Embeddings
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Cross-lingual text classification is an important task due to the globalization and the increased availability of multilingual data. This thesis explores the method of implementing cross-lingual classification on Swedish and English medical corpora. READ MORE
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5. Learning from noisy labelsby importance reweighting: : a deep learning approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Noisy labels could cause severe degradation to the classification performance. Especially for deep neural networks, noisy labels can be memorized and lead to poor generalization. READ MORE