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Optimal Performance of Doubly Fed Induction Generator Wind Farm Using Multi-Objective Genetic Algorithm
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-06)
The main purpose of this paper is allowing doubly fed induction generator wind farms (DFIG), which are connected to power system, to effectively participate in feeding electrical loads. The oscillation in power system is ...
Are Instructed Emotional States Suitable for Classification? Demonstration of How They Can Significantly Influence the Classification Result in An Automated Recognition System
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
At the present time, various freely available or commercial solutions are used to classify the subject's emotional state. Classification of the emotional state helps us to understand how the subject feels and what he is ...
Multilevel Thresholding for Image Segmentation Using an Improved Electromagnetism Optimization Algorithm
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
Image segmentation is considered one of the most important tasks in image processing, which has several applications in different areas such as; industry agriculture, medicine, etc. In this paper, we develop the electromagnetic ...
Two Hand Gesture Based 3D Navigation in Virtual Environments
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
Natural interaction is gaining popularity due to its simple, attractive, and realistic nature, which realizes direct Human Computer Interaction (HCI). In this paper, we presented a novel two hand gesture based interaction ...
Handwritten Arabic Documents Segmentation into Text Lines using Seam Carving
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-06)
Inspired from human perception and common text documents characteristics based on readability constraints, an Arabic text line segmentation approach is proposed using seam carving. Taking the gray scale of the image as ...
Improved Behavior Monitoring and Classification Using Cues Parameters Extraction from Camera Array Images
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-06)
Behavior monitoring and classification is a mechanism used to automatically identify or verify individual based on their human detection, tracking and behavior recognition from video sequences captured by a depth camera. ...
Editor’s Note
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
This special issue has been designed with the primary objective of demonstrating the diversity of fields where AI is used and, consequently, how it is gaining increasing importance as a tool for analysis and research. In ...
Voltage Stability Enhancement Based on Optimal Allocation of Shunt Compensation Devices Using Lightning attachment procedure optimization
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-12)
This paper proposes a combined approach to determine the optimal allocation of different shunt compensation devices (shunt capacitor, static var compensator, and static synchronous compensator) in power systems. The developed ...
Data-Aware Scheduling Strategy for Scientific Workflow Applications in IaaS Cloud Computing
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-03)
Scientific workflows benefit from the cloud computing paradigm, which offers access to virtual resources provisioned on pay-as-you-go and on-demand basis. Minimizing resources costs to meet user’s budget is very important ...
Deep Belief Network and Auto-Encoder for Face Classification
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-06)
The Deep Learning models have drawn ever-increasing research interest owing to their intrinsic capability of overcoming the drawback of traditional algorithm. Hence, we have adopted the representative Deep Learning methods ...