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Full-Text Articles in Computer Sciences
Autonomous Trading Strategies For Dynamic Energy Markets, Moinul Morshed Porag Chowdhury
Autonomous Trading Strategies For Dynamic Energy Markets, Moinul Morshed Porag Chowdhury
Open Access Theses & Dissertations
With increasing energy demand and an intermittent supply of renewable energy sources, our current energy grid needs a transformation towards a more robust, reliable energy trading architecture. The smart grid promises this architecture as the future of the present energy market, where traders will use digital technologies to automate the management of power delivery. It will improve many issues of the current energy grid such as sustainable, clean, renewable, reliable and secure energy supply, customer participation in markets, distributed generation, and transparency in energy trading. Using autonomous trading agents, we can bridge several dynamic energy markets and ensure an efficient …
Glacier Segmentation In Satellite Images For Hindu Kush Himalaya Region, Bibek Aryal
Glacier Segmentation In Satellite Images For Hindu Kush Himalaya Region, Bibek Aryal
Open Access Theses & Dissertations
Climate change poses a risk to individuals whose livelihoods depend on the health of glacier ecosystems. Monitoring glaciers in the Himalayan Hindu Kush (HKH) region is of high importance especially when we consider the impact of recent climate change on them. Our work aims to provide an automated method to outline glaciers using machine learning techniques and publicly available remote sensing imagery.In this work, we present ways to delineate glaciers from Landsat-7 imagery using various machine learning and computer vision techniques. The multi-step methodology that we present in this work is generalizable across different types of satellite and overhead imagery, …
Benchmarking Machine Learning Methods For Molecular Property Prediction, Govinda Bahadur Kc
Benchmarking Machine Learning Methods For Molecular Property Prediction, Govinda Bahadur Kc
Open Access Theses & Dissertations
Machine learning (ML) techniques have been widely applied in a variety of areas ranging from pattern recognition, natural language processing, and computer games to self-driving cars, clinical diagnostics, and molecular structure prediction easing day to day life of human beings. Drug discovery is an expensive, complex, and time taking process. Currently, the pharma industry is hoping to leverage machine learning methods in expediting the drug discovery process. Molecular property prediction is one of the most important tasks in drug discovery. While developing a new drug relies on a proper understanding of molecular properties, there has been great interest in the …