Essays about: "Forward model"
Showing result 11 - 15 of 608 essays containing the words Forward model.
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11. INTERWEAVE - Food production interweaving with cultural programs, housing, and public places in Slakthusområdet, Stockholm.
University essay from KTH/StadsbyggnadAbstract : Slakthusområdet, a historically significant slaughterhouse district in Stockholm, stands as a testament to the dynamic nature of urban landscapes, characterized by the relentless tide of rapid urban change. Over the years, this district has undergone multiple transformations, mirroring the shifting needs and aspirations of the city. READ MORE
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12. Usage of End-to-End Machine Learning for Self-Driving Vehicle
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : This thesis is about the usage of a machine learning model for self-driving vehicles running on a small mobile computing unit, in this case, a smartphone. We use NVIDIA’s PilotNet model which is a simple feed-forward machine learning model for steering a vehicle. READ MORE
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13. Exploring the use of mobile warehouses in midsized urban and rural regions for last-mile transportation
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : Abstract: Efficient last-mile transportation is a continuous difficulty for businesses, particularly in e-commerce, necessitating the development of creative solutions. This thesis investigates the use of mobile warehouses in mid-sized urban and rural areas to help with this problem. READ MORE
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14. Evaluating machine learning models for text classification
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis will explore the use of AWS machine learning services that enable natural language processing (NLP). More specifically, this work will focus on sentiment analysis of product and service reviews written in Swedish. READ MORE
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15. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. READ MORE