Sökning: "evaluation of information system"
Visar resultat 1 - 5 av 1132 uppsatser innehållade orden evaluation of information system.
1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER
2. Designing a reactive feedback feature for end-users in web-based media software
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för tillämpad fysik och elektronikSammanfattning : Customer feedback is essential for improving a company's products or services and increasing customer satisfaction. Despite its value, user involvement faces many challenges, such as low user motivation and feedback with missing context information. LÄS MER
3. Shifting focus from yields to food supply : an evaluation of the ‘number of people fed per hectare’ indicator at farm and national level
Master-uppsats, SLU/Department of Molecular SciencesSammanfattning : The challenge of feeding a growing global population while reducing the pressure on climate and ecosystems has gained much attention in research over the last decades. A crucial yet often overlooked aspect in research addressing this complex challenge is the efficiency of food production in meeting nutritional needs within the constraints of global cropland resources. LÄS MER
4. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : This project’s goal was to assess both the challenges of implementing the Deep Q-Learning algorithm to create an autonomous car in the CARLA simulator, and the driving performance of the resulting model. An agent was trained to follow waypoints based on two main approaches. LÄS MER
5. An Empirical Survey of Bandits in an Industrial Recommender System Setting
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content suggestion. The idea is to employ image features, extracted by a pre-trained convolutional neural network, and study the resulting bandit behaviors when including respective excluding this information in the typical context creation, which normally relies on structured data sources—such as metadata. LÄS MER