A review of advances towards efficient reduced-order models (ROM) for predicting urban airflow and pollutant dispersion

S Masoumi-Verki, F Haghighat, U Eicker - Building and Environment, 2022 - Elsevier
Computational fluid dynamics (CFD) models have been used for the simulation of urban
airflow and pollutant dispersion, due to their capability to capture different length scales and …

Enhancing the predictive performance of remote sensing for ecological variables of tidal flats using encoded features from a deep learning model

L Madhuanand, CJM Philippart, J Wang… - GIScience & Remote …, 2023 - Taylor & Francis
Tidal flats are among the ecologically richest areas of the world where sediment composition
(eg median grain size and silt content) and the macrozoobenthic presence play an important …

Technological platform for hydrogeological risk computation and water leakage detection based on a convolutional neural network

A Massaro, A Panarese… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
An effective method of managing water pipelines is essential for maximizing water efficiency
and preserving water quality for both human and agricultural use. The aim of this study is to …

Unsupervised outlier detection in IOT using deep VAE

W Gouda, S Tahir, S Alanazi, M Almufareh, G Alwakid - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) refers to a system of interconnected, internet-connected devices
and sensors that allows the collection and dissemination of data. The data provided by these …

An ensemble-based serial cascaded attention network and improved variational auto encoder for breast cancer prognosis prediction using data

P Vanmathi, D Jose - Computer Methods in Biomechanics and …, 2024 - Taylor & Francis
Breast cancer is one of the most common types of cancer in women and it produces a huge
amount of death rate in the world. Early recognition is lessening its impact. The early …

[图书][B] Artificial Intelligence and Causal Inference

M Xiong - 2022 - taylorfrancis.com
Artificial Intelligence and Causal Inference address the recent development of relationships
between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a …

Real Time Fire and Smoke Detection on RGB Images Using YOLOv7 with Optimized Hyper-Parameters

R Bayraktar, AE Yetkin… - 2023 IEEE East-West …, 2023 - ieeexplore.ieee.org
In this study, various experiments were carried out for fire and smoke detection by using
YOLOv5 and YOLOv7 pre-trained weights. As a result of the experiments, the performances …

Sistem Identifikasi Tanda Nomor Kendaraan Bermotor Indonesia Berbasis Artificial Neural Network

LP Ristantyo, H Nugroho, WA Pramudito - KILAT, 2022 - jurnal.itpln.ac.id
Abstract Tanda Nomor Kendaraan Bermotor (TNKB) merupakan prasyarat yang wajib
dimiliki pada kendaraan bermotor yang berfungsi sebagai identitas dan tanda registrasi …

Development of an equation-free reduced-order model based on different feature extraction patterns on the two-dimensional steady-state heat transfer dataset

S Afzali, MK Moayyedi, F Fotouhi - Soft Computing Journal, 2021 - scj.kashanu.ac.ir
Due to the high computational cost and time of the direct or numerical methods of the partial
differential equations governing phenomena, this paper proposes an equation-free model …

Analysis and Reduced-Order Modeling of Urban Airflow and Pollutant Dispersion under Thermal Stratification Conditions

S Masoumi-Verki - 2022 - spectrum.library.concordia.ca
Different thermal stratification conditions, namely, stable, isothermal (or neutral), and
unstable, can locally occur in urban areas. Alteration in the thermal condition of an urban …