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Topic Models and Fusion Methods: a Union to Improve Text Clustering and Cluster Labeling
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
Topic modeling algorithms are statistical methods that aim to discover the topics running through the text documents. Using topic models in machine learning and text mining is popular due to its applicability in inferring ...
Genetic Operators Applied to Symmetric Cryptography
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-12)
In this article, a symmetric-key cryptographic algorithm for text is proposed, which applies Genetic Algorithms philosophy, entropy and modular arithmetic. An experimental methodology is used over a deterministic system, ...
StuA: An Intelligent Student Assistant
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2018-09)
With advanced innovation in digital technology, demand for virtual assistants is arising which can assist a person and at the same time, minimize the need for interaction with the human. Acknowledging the requirement, we ...
Text Analytics: the convergence of Big Data and Artificial Intelligence
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016-03)
The analysis of the text content in emails, blogs,
tweets, forums and other forms of textual communication
constitutes what we call text analytics. Text analytics is applicable
to most industries: it can help analyze ...
IJIMAI Editor's Note - Vol. 4 Issue 3
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017-03)
The Internet of Things is the networks of physical devices, embedded with electronics, software, sensors, actuators and security and connectivity mechanisms that enables them to collect and exchange data. It is a very ...
Human Activity Recognition in Real-Times Environments using Skeleton Joints
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
In this research work, we proposed a most effective
noble approach for Human activity recognition in real-time
environments. We recognize several distinct dynamic human
activity actions using kinect. A 3D skeleton data ...
Real-Time Prediction of Gamers Behavior Using Variable Order Markov and Big Data Technology: A Case of Study
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016-03)
This paper presents the results and conclusions
found when predicting the behavior of gamers in commercial
videogames datasets. In particular, it uses Variable-Order Markov
(VOM) to build a probabilistic model that is ...
Segmentation-free Word Spotting for Handwritten Arabic Documents
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016-09)
In this paper we present an unsupervised segmentation-free method for spotting and searching query, especially, for images documents in handwritten Arabic, for this, Histograms of Oriented Gradients (HOGs) are used as the ...
Editor’s Note
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016-03)
Digital information has redefined the way in which both public
and private organizations are faced with the use of data to improve
decision making. The importance of Big Data lies in the huge amount
of data generated ...
A Low Cost and Computationally Efficient Approach for Occlusion Handling in Video Surveillance Systems
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-12)
In the development of intelligent video surveillance systems for tracking a vehicle, occlusions are one of the major challenges. It becomes difficult to retain features during occlusion especially in case of complete ...