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Developing a collaborative MOOC learning environment utilizing video sharing with discussion summarization as added-value
(2015-06-16)
With the fast-growing Massive Open Online Courses (MOOC) community and the increase in the number of Learning Management Systems (LMSs) available online, the amount of shared information is massive. Current LMS - in ...
Elastic-based multi-scale graph drawing
(2012-11-10)
Graph drawing is an important information visualization technique with applications in a variety of disciplines, including VLSI design, bioinformatics, geography, and social network analysis. We present a new force-directed, ...
Wireless sensor network scheduling schemes
(2012-11-10)
Wireless Sensor Network (WSN) consists of small sensing devices with constrained power and resources. It is widely used for environment monitoring. WSN usually works in hostile environments and performs critical tasks, for ...
A role and attribute based encryption approach to privacy and security in cloud based health services
(2012-11-10)
Cloud computing is a rapidly emerging computing paradigm which replaces static and expensive data centers, network and software infrastructure with dynamically scalable “cloud based” services offered by third party providers ...
Extracting specific text from documents using machine learning algorithms
(2018)
Increasing use of Portable Document Format (PDF) files has promoted research
in analyzing the files' layout for text extraction purpose. For this reason, it is important
to have a system in place to analyze these documents ...
Semantic similarity between words and sentences using lexical database and word embeddings
(2018)
Calculating the semantic similarity between sentences is a long-standing problem
in the area of natural language processing. The semantic analysis field has a crucial
role to play in the research related to the text ...
Use of semantic, syntactic and sentiment features to automate essay evaluation
Manual grading of essays by humans is time-consuming and likely to be susceptible to
inconsistencies and inaccuracies. Mostly performed within an academic institution,
the task at hand is to grade hundreds of submitted ...
From social media to expert reports: automatically validating and extending complex conceptual models using machine learning approaches
(2019)
Given the importance of developing accurate models of any complex system, the modeling
process often seeks to be comprehensive by including experts and community members.
While many qualitative modeling processes can ...
The artificial facilitator: guiding participants in developing causal maps using voice-activated personal assistant
(2019)
When it comes to any problem, their causes, and solutions, people
often have very different perspectives, primarily due to the environment
in which they were raised (culture, education, socio-economic status,
and so ...
The analysis of Canada's health through social media using machine learning
(2019)
Real-time online data processing is quickly becoming an essential tool in the
analysis of social media for political trends, advertising, public health awareness
programs and policy making. Traditionally, processes ...