Power Consumption Analysis using LSTM Neural Networks for Residential Building

JIITA, vol.6 no.4, p.631-638, 2022, DOI: 10.22664/ISITA.2021.6.4.631 Sang C. Suh 1,*), Md. Abdur Rahman 2,*) 1) Dept. of Computer Science, Texas A&M University-Commerce, Texas, USA2) Dept. of Mathematics, Jahangirnagar University, Dhaka, Bangladesh Abstract: Energy consumption prediction is becoming popular research topic as many countries want to know the requirements of power consumption so that theycan […]

Development of Face and Landmark Detection using EfficientNetV2 and BiFPN

JIITA, vol.6 no.4, p.639-643, 2022, DOI: 10.22664/ISITA.2021.6.4.639 Hyunduk Kim 1,*), Sang-Heon Lee 1), Myoung-Kyu Sohn 1) 1) Division of Automotive Technology, DGIST, Daegu, Republic of Korea Abstract: In this paper, we develop improved face and landmark detection algorithm using EfficientNetV2 as backbone and BiFPN as multi-scale feature extractor. EfficientNetV2 are a new family of convolutional […]

Ensemble Feature Selection Using the Evaluation based on Distance from Average Solution (EDAS) Method

JIITA, vol.6 no.4, p.649-653, 2022, DOI: 10.22664/ISITA.2021.6.4.649 Dharyll Prince M. Abellana 1*), Robert R. Roxas 1), Demelo M. Lao 1), Paula E. Mayol 1) 1) Department of Computer Science, College of Science, University of the PhilippinesCebu, Cebu City, 6000 Cebu, Philippines Abstract: This paper investigates the applicability of multiple criteria decision making in ensemble feature […]

Identifying and prioritizing the product attributes based on sentiment analysis and weighted formal concept analysis

JIITA, vol.6 no.4, p.624-630, 2022, DOI: 10.22664/ISITA.2021.6.4.624 Yujin Yang 1), Heejung Lee 2,*) 1) Dept. of Industrial Data Engineering, Hanyang University, Seoul, Korea2) Dept. of Interdisciplinary Industrial Studies, Hanyang University, Seoul, Korea Abstract: Identifying the relative strengths and weaknesses of the products from the customers’ feedback can help companies improve their product quality and competitive […]

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