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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 ...
Sales Prediction through Neural Networks for a Small Dataset
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
Sales forecasting allows firms to plan their production outputs, which contributes to optimizing firms' inventory management via a cost reduction. However, not all firms have the same capacity to store all the necessary ...
QoS based Web Service Selection and Multi-Criteria Decision Making Methods
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
With the continuing proliferation of web services offering similar efficacies, around the globe, it has become a challenge for a user to select the best web service. In literature, this challenge is exhibited as a 0-1 ...
Evaluation of a Diagnostic Decision Support System for the Triage of Patients in a Hospital Emergency Department
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
One of the biggest challenges for the management of the emergency department (ED) is to expedite the management of patients since their arrival for those with low priority pathologies selected by the classification systems, ...
Hybrid Algorithm for Solving the Quadratic Assignment Problem
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
The Quadratic Assignment Problem (QAP) is a combinatorial optimization problem; it belongs to the class of NP-hard problems. This problem is applied in various fields such as hospital layout, scheduling parallel production ...
Biomedical Term Extraction: NLP Techniques in Computational Medicine
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
Artificial Intelligence (AI) and its branch Natural Language Processing (NLP) in particular are main contributors to recent advances in classifying documentation and extracting information from assorted fields, Medicine ...
Driver Fatigue Detection using Mean Intensity, SVM, and SIFT
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
Driver fatigue is one of the major causes of accidents. This has increased the need for driver fatigue detection mechanism in the vehicles to reduce human and vehicle loss during accidents. In the proposed scheme, we capture ...
PRACTICA. A Virtual Reality Platform for Specialized Training Oriented to Improve the Productivity
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
With the proliferation of Virtual reality headset that are emerging into a consumer-oriented market for video games, it will open new possibilities for exploiting the virtual reality (VR). Therefore, the PRACTICA project ...
Multimodal Generic Framework for Multimedia Documents Adaptation
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
Today, people are increasingly capable of creating and sharing documents (which generally are multimedia oriented) via the internet. These multimedia documents can be accessed at anytime and anywhere (city, home, etc.) on ...
Day-Ahead Price Forecasting for the Spanish Electricity Market
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
During the last years, electrical systems around the world and in particular the Spanish electric sector have undergone great changes with the focus of turning them into more liberalized and competitive markets. For this ...