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On Improvement of Speech Intelligibility and Quality: A Survey of Unsupervised Single Channel Speech Enhancement Algorithms
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
Many forms of human communication exist; for instance, text and nonverbal based. Speech is, however, the most powerful and dexterous form for the humans. Speech signals enable humans to communicate and this usefulness of ...
A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
In the collaborative filtering recommender systems (CFRS) field, recommendation to group of users is mainly focused on stablished, occasional or random groups. These groups have a little number of users: relatives, friends, ...
Tree Growth Algorithm for Parameter Identification of Proton Exchange Membrane Fuel Cell Models
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
Demonstrating an accurate mathematical model is a mandatory issue for realistic simulation, optimization and performance evaluation of proton exchange membrane fuel cells (PEMFCs). The main goal of this study is to demonstrate ...
An Experimental Study on Microarray Expression Data from Plants under Salt Stress by using Clustering Methods
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
Current Genome-wide advancements in Gene chips technology provide in the “Omics (genomics, proteomics and transcriptomics) research”, an opportunity to analyze the expression levels of thousand of genes across multiple ...
Two-Stage Human Activity Recognition Using 2D-ConvNet
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
There is huge requirement of continuous intelligent monitoring system for human activity recognition in various domains like public places, automated teller machines or healthcare sector. Increasing demand of automatic ...
COVID-19 Detection in Chest X-ray Images using a Deep Learning Approach
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
The Corona Virus Disease (COVID-19) is an infectious disease caused by a new virus that has not been detected in humans before. The virus causes a respiratory illness like the flu with various symptoms such as cough or ...
Guidelines for performing Systematic Research Projects Reviews
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
There are different methods and techniques to carry out systematic reviews in order to address a set of research questions or getting the state of the art of a particular topic, but there is no a method to carry out a ...
A Holistic Methodology for Improved RFID Network Lifetime by Advanced Cluster Head Selection using Dragonfly Algorithm
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
Radio Frequency Identification (RFID) networks usually require many tags along with readers and computation facilities. Those networks have limitations with respect to computing power and energy consumption. Thus, for ...
Time-Dependent Performance Prediction System for Early Insight in Learning Trends
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
Performance prediction systems allow knowing the learning status of students during a term and produce estimations on future status, what is invaluable information for teachers. The majority of current systems statically ...
An Extreme Learning Machine-Relevance Feedback Framework for Enhancing the Accuracy of a Hybrid Image Retrieval System
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
The process of searching, indexing and retrieving images from a massive database is a challenging task and the solution to these problems is an efficient image retrieval system. In this paper, a unique hybrid Content-based ...