Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Data engineering and data science"'
Autor:
Lewis, Tyler J
The two primarily methodologies discussed in this thesis are the nonparametric entropy-based synthetic timeseries (NEST) and Directed infusion of data (DIOD) algorithms. The former presents a novel synthetic data algorithm that is shown to outperform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10b216cf89520d1327999f1662da0563
Autor:
Tahabi, Fattah Muhammad
Graph Neural Networks (GNNs) have become excessively popular and prominent deep learning techniques to analyze structural graph data for their ability to solve complex real-world problems. Because graphs provide an efficient approach to contriving ab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01650b3b2b6bc59f80e407f6be9e8b76
Accurate time series forecasting is highly beneficial for many types of businesses and industries, especially for improved decision making and strategic planning. Some industries had experienced huge financial losses due to the inaccurate forecasts p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::520b83ca8c38d381f4b2776c5347e3b9
The SciLifeLab Data Platform (data.scilifelab.se) was launched on 26th May 2023. In this item, you will find a recording of the launch event, as well as slides from some of the speakers at the event. The SciLifeLab Data Platform aims to act as a 'one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fcfe87a6fff2cda66bf773c84f355d1
Autor:
Manganaris, Panayotis Thalis
A wide range of optoelectronic applications demand semiconductors optimized for purpose. My research focused on data-driven identification of ABX3 Halide perovskite compositions for optimum photovoltaic absorption in solar cells. I trained machine le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8413a8649ac5e37b1ee09ddb30d06079
Autor:
Ahmadi, Saman
The first part of this thesis introduces two solution methods for energy-optimal path finding for Electric Vehicles (EVs). It also develops a complete pickup-and-delivery model with EVs. The second part addresses the key topics of bi-objective and we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90f925c4898c6ff5518c2f46a8f9cd41
Autor:
Ayano, Oluwafolake A
Advances in technology have led to the availability of data from different platforms such as the web and social media platforms. Much of this data can be represented in the form of a network consisting of a set of nodes connected by edges. The nodes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be8cbc7f8e185c52cb589a3f2e48642b
This research conceptualises, develops and applies novel computer vision and deep learning software to enhance our understanding of insect pollinator behaviour in agriculture and ecology. Pollinators underpin around a third of food for human consumpt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bda2b7644f91178700d65cdc12a8da3
Autor:
Azam, Sheikh S
Over the past decade, distributed representation learning has emerged as a popular alternative to conventional centralized machine learning training. The increasing interest in distributed representation learning, specifically federated learning, can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a56176663232eda947c9cdbf7ee95c87
Autor:
Zhu, Elliott
The central aim of this thesis is concerned with the elucidation of cause-effect relationships from observational data among variables or events in the context of personalised healthcare. Appropriate methodology for extracting such relationships has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b347aa30243018319ee00d8007e0810