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Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and remedic actions. These measures include ...
Comparative Study on Ant Colony Optimization (ACO) and K-Means Clustering Approaches for Jobs Scheduling and Energy Optimization Model in Internet of Things (IoT)
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
The concept of Internet of Things (IoT) was proposed by Professor Kevin Ashton of the Massachusetts Institute of Technology (MIT) in 1999. IoT is an environment that people understand in many different ways depending on ...
An Intelligent Technique for Grape Fanleaf Virus Detection
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
Grapevine Fanleaf Virus (GFLV) is one of the most important viral diseases of grapes, which can damage up to 85% of the crop, if not treated at the right time. The aim of this study is to identify infected leaves with GFLV ...
Learning Models for Semantic Classification of Insufficient Plantar Pressure Images
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
Establishing a reliable and stable model to predict a target by using insufficient labeled samples is feasible and effective, particularly, for a sensor-generated data-set. This paper has been inspired with insufficient ...
Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
This paper proposes a scalable and original classification-based deep neural architecture. Its collaborative filtering approach can be generalized to most of the existing recommender systems, since it just operates on the ...
Fuzzy C-Means Clustering with Histogram based Cluster Selection for Skin Lesion Segmentation using Non-Dermoscopic Images
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
Purpose – Pre-screening of skin lesion for malignancy is highly demanded as melanoma being a life-threatening skin cancer due to unpaired DNA damage. In this paper, lesion segmentation based on Fuzzy C-Means clustering ...