Design of experiments using artificial neural network ensemble for photovoltaic generation forecasting

MO Moreira, PP Balestrassi, AP Paiva… - … and Sustainable Energy …, 2021 - Elsevier
In recent years, renewable and sustainable energy sources have attracted the attention of
various investors and stakeholders, such as energy sector agents and even consumers. It is …

Survey of optimization algorithms in modern neural networks

R Abdulkadirov, P Lyakhov, N Nagornov - Mathematics, 2023 - mdpi.com
The main goal of machine learning is the creation of self-learning algorithms in many areas
of human activity. It allows a replacement of a person with artificial intelligence in seeking to …

Energy-optimized partial computation offloading in mobile-edge computing with genetic simulated-annealing-based particle swarm optimization

J Bi, H Yuan, S Duanmu, MC Zhou… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Smart mobile devices (SMDs) can meet users' high expectations by executing computational
intensive applications but they only have limited resources, including CPU, memory, battery …

[HTML][HTML] Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization

J Niyogisubizo, L Liao, E Nziyumva… - … and Education: Artificial …, 2022 - Elsevier
Student dropout is a serious problem globally. It affects not only the individual who drops out
but also the former school, family, and society in general. With the current development of …

Medical internet-of-things based breast cancer diagnosis using hyperparameter-optimized neural networks

RO Ogundokun, S Misra, M Douglas, R Damaševičius… - Future Internet, 2022 - mdpi.com
In today's healthcare setting, the accurate and timely diagnosis of breast cancer is critical for
recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has …

Profit-maximized collaborative computation offloading and resource allocation in distributed cloud and edge computing systems

H Yuan, MC Zhou - IEEE Transactions on Automation Science …, 2020 - ieeexplore.ieee.org
Edge computing is a new architecture to provide computing, storage, and networking
resources for achieving the Internet of Things. It brings computation to the network edge in …

Decision support system for adaptive sourcing and inventory management in small-and medium-sized enterprises

S Teerasoponpong, A Sopadang - Robotics and Computer-Integrated …, 2022 - Elsevier
Elevated business uncertainties and competition over recent years have caused changes to
the data-driven supply chain management of sourcing and inventories across industries …

Impact of COVID‐19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short‐Term Memory

D Štifanić, J Musulin, A Miočević, S Baressi Šegota… - …, 2020 - Wiley Online Library
COVID‐19 is an infectious disease that mostly affects the respiratory system. At the time of
this research being performed, there were more than 1.4 million cases of COVID‐19, and …

Rapid prediction model for urban floods based on a light gradient boosting machine approach and hydrological–hydraulic model

K Xu, Z Han, H Xu, L Bin - International Journal of Disaster Risk Science, 2023 - Springer
Global climate change and sea level rise have led to increased losses from flooding.
Accurate prediction of floods is essential to mitigating flood losses in coastal cities …

Optimization of activated carbon production from sunflower seed extracted meal: Taguchi design of experiment approach and analysis of variance

U Moralı, H Demiral, S Şensöz - Journal of Cleaner Production, 2018 - Elsevier
Taguchi method has been applied to design optimal activation conditions in the production
of activated carbon with high specific surface area using sunflower seed extracted meal …