Genetic algorithm based optimized feature engineering and hybrid machine learning for effective energy consumption prediction

PW Khan, YC Byun - Ieee Access, 2020 - ieeexplore.ieee.org
Smart grids are developing rapidly, leading to the need for accurate forecasts of power
consumption. However, developing a precise time series model for energy forecasting is …

A big data framework for E-Government in Industry 4.0

CK Long, R Agrawal, HQ Trung, HV Pham - Open Computer Science, 2021 - degruyter.com
The next generation of E-Government and healthcare has the potential to increase the more
intelligent governance with improvements in transparency, accountability, efficiency, and …

Effect of anthropomorphic design and hierarchical status on balancing self-serving bias: Accounting for education, ethnicity, and experience

M Wu, Z Li, KF Yuen - Computers in Human Behavior, 2024 - Elsevier
To address the issue of self-serving attributional bias linked to automation technology and
artificial intelligence (AI), this study recruited a gender-balanced sample to investigate the …

How has COVID-19 affected the work environment of delivery workers?: An interpretative phenomenological analysis

J Pyo, EJ Park, M Ock, W Lee, HJ Lee, S Choi - Plos one, 2023 - journals.plos.org
The COVID-19 pandemic has sparked a rapid worldwide increase in the utilization of
delivery services. This study delves into the experiences of delivery workers as one of the …

A depth camera-based system for automatic measurement of live cattle body parameters

AN Ruchay, KA Dorofeev, VV Kalschikov… - … Series: Earth and …, 2019 - iopscience.iop.org
Many studies have purposed in order to measure live animal body characteristics using
RGB-D cameras. However, most of these studies were made only for specific body …

Cloud computing efforts for the weather research and forecasting model

JG Powers, KK Werner, DO Gill, YL Lin… - Bulletin of the …, 2021 - journals.ametsoc.org
Abstract The Weather Research and Forecasting (WRF) Model is a numerical weather
prediction model supported by the National Center for Atmospheric Research (NCAR) to a …

A novel deep learning technique to detect electricity theft in smart grids using AlexNet

N Khan, Z Shahid, MM Alam, AAB Sajak… - IET Renewable …, 2024 - Wiley Online Library
Electricity theft (ET), which endangers public safety, interferes with the regular operation of
grid infrastructure, and increases revenue losses, is a significant issue for power companies …

Evolutionary algorithm-based feature selection for an intrusion detection system

DK Singh, M Shrivastava - Engineering, Technology & Applied Science …, 2021 - etasr.com
Keeping computer reliability to confirm reliable, secure, and truthful correspondence of data
between different enterprises is a major security issue. Ensuring information …

Optimization of the composition in a composite material for microelectronics application using the Ising model

Y Imanaka, T Anazawa, F Kumasaka, H Jippo - Scientific Reports, 2021 - nature.com
Tailored material is necessary in many industrial applications since material properties
directly determine the characteristics of components. However, the conventional trial and …

Accurate 3d shape recovery of live cattle with three depth cameras

AN Ruchay, KA Dorofeev, VV Kalschikov… - … Series: Earth and …, 2019 - iopscience.iop.org
The animal carcass is one of important indicators of the development of young cattles,
therefore it is essential to follow it up. Only the animals with sufficient body frame and with …