15 citations · 30 across the 9 of their papers we have counts for
9 papers
Generalized potential games
M. H. Duong, T. H. Dang-Ha, Q. B. Tang +1
In this paper, we introduce a notion of generalized potential games that is inspired by a newly developed theory on generalized gradient flows. More precisely, a game is called gen…
Improving Deep Learning through Automatic Programming
The-Hien Dang-Ha
Deep learning and deep architectures are emerging as the best machine learning methods so far in many practical applications such as reducing the dimensionality of data, image clas…
Nviz - A General Purpse Visualization tool for Wireless Sensor Networks
Anh-Vu Dinh-Duc, The-Hien Dang-Ha, Ngoc-An Lam
In a Wireless Sensor Network (WSN), data manipulation and representation is a crucial part and can take a lot of time to be developed from scratch. Although various visualization t…
Paperstack - A Novel Lean-Interactive System for Documentation Sharing in Maritime Industries
Steinar Kristoffersen, The-Hien Dang-Ha, Thien-Phuc Nguyen
This paper defines a new domain for collaborative systems and technologies research: inter-organizational lean-interactive systems engineering. It departs from the problems pertain…
Graph of Virtual Actors (GOVA): a Big Data Analytics Architecture for IoT
The-Hien Dang-Ha, Davide Roverso, Roland Olsson
With the emergence of cloud computing and sensor technologies, Big Data analytics for the Internet of Things (IoT) has become the main force behind many innovative solutions for ou…
Clustering Methods for Electricity Consumers: An Empirical Study in Hvaler-Norway
The-Hien Dang-Ha, Roland Olsson, Hao Wang
The development of Smart Grid in Norway in specific and Europe/US in general will shortly lead to the availability of massive amount of fine-grained spatio-temporal consumption dat…
The Role of Big Data on Smart Grid Transition
The-Hien Dang-Ha, Roland Olsson, Hao Wang
Despite being popularly referred to as the ultimate solution for all problems of our current electric power system, smart grid is still a growing and unstable concept. It is usuall…
Introducing big data topics: a multicourse experience report from Norway
Beathe Due, Monica Kristiansen, Ricardo Colomo-Palacios +1
In the last few years, we have witnessed an explosion of interest in Big Data in both academic and industry arenas. Big Data is about the capture, storage, analysis and visualizati…
Local Short Term Electricity Load Forecasting: Automatic Approaches
The-Hien Dang-Ha, Filippo Maria Bianchi, Roland Olsson
Short-Term Load Forecasting (STLF) is a fundamental component in the efficient management of power systems, which has been studied intensively over the past 50 years. The emerging…