Essays about: "green ai"
Showing result 1 - 5 of 15 essays containing the words green ai.
-
1. Identification of restoration hotspots in landscape-scale green infrastructure planning based on model-predicted connectivity forest
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Boreal forest landscapes have undergone severe anthropogenic fragmentation and their enormous values concerning, e.g., ecosystem service, biodiversity and culture are hazarded. READ MORE
-
2. Urban tree canopy mapping -an open source deep learning approach
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Urban trees have an important role to provide ecosystem services and to make our cities greener and more sustainable. The changing climate and densification of cities make it even more valuable to preserve and investigate in urban trees. READ MORE
-
3. Energy-as-a-Service in the Swedish Real Estate Sector
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In order to reach the global set sustainability goals, it is of the utmost importance that we phase out fossil fuels and reduce our total emissions. We also need to ensure that we minimize and make our energy use more efficient. In 2020, Sweden's construction and property sector accounted for approximately 34% of Sweden's total final energy use. READ MORE
-
4. Deriving an Natural Language Processing inference Cost Model with Greenhouse Gas Accounting : Towards a sustainable usage of Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The interest in using State-Of-The-Art (SOTA) Pre-Trained Language Model (PLM) in product development is growing. The fact that developers can use PLM has changed the way to build reliable models, and it is the go-to method for many companies and organizations. READ MORE
-
5. Exploring Diversity of Spectral Data in Cloud Detection with Machine Learning Methods : Contribution of Near Infrared band in improving cloud detection in winter images
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cloud detection on satellite imagery is an essential pre-processing step for several remote sensing applications. In general, machine learning based methods for cloud detection perform well, especially the ones based on deep learning as they consider both spatial and spectral features of the input image. READ MORE