Sökning: "vinst i skolan"
Visar resultat 1 - 5 av 74 uppsatser innehållade orden vinst i skolan.
1. Reinforcement Learning for Multi-Agent Strategy Synthesis Using Higher-Order Knowledge
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Imagine for a moment we are living in the distant future where autonomous robots are patrollingthe streets as police officers. Two such robots are chasing a robber through the city streets. Fearingthe thief might listen in to any potential transmission, both robots remain radio silent and are thuslimited to a strictly visual pursuit. LÄS MER
2. Optimering av en framtida solcellsanläggning : En teknoekonomisk analys för Korskyrkan i Uppsala
Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : I detta kandidatexamensarbete planerades en solcellsanläggning av optimal storlek för Korskyrkan i Uppsala efter deras geografiska placering och elkonsumtion. Målet var att ge en oberoende lönsamhetsbedömning genom att jämföra en egen modellering i System Advisor Model (SAM) med offerter från två olika solcellsföretag. LÄS MER
3. Investigate the challenges and opportunities of MLOps
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : MLOps is becoming a widespread practice in modern machine learning and data science. The word ”MLOps” combines machine learning technology and business operation process. Many business companies are applying machine learning techniques to improve their business targets and increase their profits. LÄS MER
4. Green hydrogen from offshore wind in southern Sweden : Case study on 500MW offshore wind farm
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Variable renewable energy and green hydrogen demand is expected to increase within the European union in attempts to mitigate climate change. A high penetration of variable renewable energy can result in volatile power prices affecting the profitability of such actors. LÄS MER
5. Forecasting U.S. Movie Gross Revenues : A Random Forest Classifier Approach Based on Pre-production Data
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Blockbusters screening in cinemas often include star-studded casts in hope of becoming profitable. However, producing a movie is associated with great risk. More than half of the movies released between 2008 and 2012 in the U.S. LÄS MER