Endah Kristiani
Endah Kristiani
UKRIDA, Tunghai University
Verified email at
Cited by
Cited by
Implementation of an intelligent indoor environmental monitoring and management system in cloud
CT Yang, ST Chen, W Den, YT Wang, E Kristiani
Future Generation Computer Systems 96, 731-749, 2019
The implementation of a cloud-edge computing architecture using OpenStack and Kubernetes for air quality monitoring application
E Kristiani, CT Yang, CY Huang, YT Wang, PC Ko
Mobile Networks and Applications 26 (3), 1070-1092, 2021
Implementation of an edge computing architecture using openstack and kubernetes
E Kristiani, CT Yang, YT Wang, CY Huang
Information Science and Applications 2018: ICISA 2018, 675-685, 2019
Current advances and future challenges of AIoT applications in particulate matters (PM) monitoring and control
CT Yang, HW Chen, EJ Chang, E Kristiani, KLP Nguyen, JS Chang
Journal of Hazardous Materials 419, 126442, 2021
Fake news classification based on content level features
CM Lai, MH Chen, E Kristiani, VK Verma, CT Yang
Applied Sciences 12 (3), 1116, 2022
iSEC: An optimized deep learning model for image classification on edge computing
E Kristiani, CT Yang, CY Huang
IEEE Access 8, 27267-27276, 2020
On construction of sensors, edge, and cloud (ISEC) framework for smart system integration and applications
E Kristiani, CT Yang, CY Huang, PC Ko, H Fathoni
IEEE Internet of Things Journal 8 (1), 309-319, 2020
Short-Term Prediction of PM2.5 Using LSTM Deep Learning Methods
E Kristiani, H Lin, JR Lin, YH Chuang, CY Huang, CT Yang
Sustainability 14 (4), 2068, 2022
The prediction of influenza-like illness and respiratory disease using LSTM and ARIMA
YT Tsan, DY Chen, PY Liu, E Kristiani, KLP Nguyen, CT Yang
International Journal of Environmental Research and Public Health 19 (3), 1858, 2022
The implementation of data storage and analytics platform for big data lake of electricity usage with spark
CT Yang, TY Chen, E Kristiani, SF Wu
The Journal of Supercomputing 77 (6), 5934-5959, 2021
Big data and machine learning driven bioprocessing–recent trends and critical analysis
CT Yang, E Kristiani, YK Leong, JS Chang
Bioresource technology 372, 128625, 2023
Netflow monitoring and cyberattack detection using deep learning with ceph
CT Yang, JC Liu, E Kristiani, ML Liu, I You, G Pau
IEEE Access 8, 7842-7850, 2020
PM2. 5 forecasting model using a combination of deep learning and statistical feature selection
E Kristiani, TY Kuo, CT Yang, KC Pai, CY Huang, KLP Nguyen
IEEE Access 9, 68573-68582, 2021
A heterogeneous cloud storage platform with uniform data distribution by software-defined storage technologies
CT Yang, ST Chen, WH Cheng, YW Chan, E Kristiani
IEEE Access 7, 147672-147682, 2019
Performance benchmarking of deep learning framework on Intel Xeon Phi
CT Yang, JC Liu, YW Chan, E Kristiani, CF Kuo
The Journal of Supercomputing 77, 2486-2510, 2021
On construction of a network log management system using ELK Stack with Ceph
CT Yang, E Kristiani, YT Wang, G Min, CH Lai, WJ Jiang
The Journal of Supercomputing 76, 6344-6360, 2020
A model for predicting fall risks of hospitalized elderly in Taiwan-A machine learning approach based on both electronic health records and comprehensive geriatric assessment
WM Chu, E Kristiani, YC Wang, YR Lin, SY Lin, WC Chan, CT Yang, ...
Frontiers in medicine 9, 937216, 2022
On Construction of a Campus Outdoor Air and Water Quality Monitoring System Using LoRaWAN
HY Miao, CT Yang, E Kristiani, H Fathoni, YS Lin, CY Chen
Applied sciences 12 (10), 5018, 2022
Using deep ensemble for influenza-like illness consultation rate prediction
E Kristiani, YA Chen, CT Yang, CY Huang, YT Tsan, WC Chan
Future Generation Computer Systems 117, 369-386, 2021
Cyberattack detection model using deep learning in a network log system with data visualization
JC Liu, CT Yang, YW Chan, E Kristiani, WJ Jiang
The Journal of Supercomputing 77, 10984-11003, 2021
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