Improving monthly rainfall forecast in a watershed by combining neural networks and autoregressive models

A Pérez-Alarcón, D Garcia-Cortes… - Environmental …, 2022 - Springer
The main aim of the rain forecast is to determine rain occurrence conditions in a specific
location. This is considered of vital importance to assess the availability of water resources …

Biohybrid nanocomposite production and characterization by RSM investigation of thermal decomposition kinetics with ANN

E Aydoğmuş - Biomass Conversion and Biorefinery, 2022 - Springer
In this research, a biohybrid nanocomposite (BHNC) reinforced with graphene (GF), multi-
walled carbon nanotube (MWCNT), silicon carbide (SiC), and modified palm oil (MPO) has …

[HTML][HTML] An optimized hybrid finite element analyses-Artificial neural networks technique for estimating in-plane orthotropic mechanical properties of printed circuit …

S Al-Dahidi, MA Gharaibeh, M Alrbai, B Rinchi… - Results in …, 2024 - Elsevier
Abstract Explicitly modeling Printed Circuit Boards (PCBs) in Finite Element Analysis (FEA)
is not practical due to the complex multi-component structure of PCBs. To overcome this …

Automatic detection of linear thermal bridges from infrared thermal images using neural network

C Kim, JS Choi, H Jang, EJ Kim - Applied Sciences, 2021 - mdpi.com
Detecting thermal bridges in building envelopes should be a priority to improve the thermal
performance of buildings. Recently, thermographic surveys are being used to detect thermal …

RIIAnet: A real-time segmentation network integrated with multi-type features of different depths for pavement cracks

P Yong, N Wang - Applied Sciences, 2022 - mdpi.com
Considerable road mileage puts tremendous pressure on pavement crack detection and
maintenance. In practice, using a small parameter model for fast and accurate image-based …

Empirical mode decomposition using deep learning model for financial market forecasting

Z Jin, Y Jin, Z Chen - PeerJ Computer Science, 2022 - peerj.com
Financial market forecasting is an essential component of financial systems; however,
predicting financial market trends is a challenging job due to noisy and non-stationary …

An artificial intelligence-based approach for identifying the in-plane orthotropic mechanical properties of electronic circuit boards

MA Gharaibeh - The Journal of Strain Analysis for …, 2024 - journals.sagepub.com
The finite element modeling of electronic boards is a challenging task due to the complexity
of the multi-component board structure. Hence, it is acceptable to attain equivalent …

Design of metallic catalytic converter using pareto optimization to improve engine performance and exhaust emissions

SR Ariyanto, S Suprayitno… - Automotive …, 2023 - journal.unimma.ac.id
Abstract In this paper, Metallic Catalytic Converter (MCC) is installed in motorcycle exhausts
to produce the minimum CO as well as to produce the optimum engine power. The results …

Neural network-based modeling for risk evaluation and early warning for large-scale sports events

C Zhong, W Lou, C Wang - Mathematics, 2022 - mdpi.com
[Problem] The risks of hosting large-scale sports events are very difficult to evaluate and
often directly affected by natural environment risks, events management risks, and social …

Modeling rainfall-induced 2D inundation simulation based on the ANN-derived models with precipitation and water-level measurements at roadside IoT sensors

SJ Wu - Scientific Reports, 2023 - nature.com
This study aims to develop a smart model for carrying out two-dimensional (2D) inundation
simulation by estimating the gridded inundation depths via the ANN-derived models …