A general framework and guidelines for benchmarking computational intelligence algorithms applied to forecasting problems derived from an application domain …

M Oprea - Applied Soft Computing, 2020 - Elsevier
Benchmarking computational intelligence algorithms provides valuable knowledge for
selecting the best or, at least, the proper algorithm for a certain problem. The experimental …

[PDF][PDF] An appropriate flood warning system in the context of developing countries

S Keoduangsine, R Goodwin - International Journal of Innovation …, 2012 - researchgate.net
Flooding due to natural disasters such as heavy rains and tropical cyclones, results in huge
losses of life and property. In many countries flood warning systems (FWS) have been …

An early flood detection system using mobile networks

HN Do, MT Vo, VS Tran, PV Tan… - … conference on advanced …, 2015 - ieeexplore.ieee.org
In this paper, an early flood warning system has been studied and developed. The system
consists of an early flood warning station powered by solar energy, a monitoring center, and …

Computational intelligence-based PM2. 5 air pollution forecasting

M Oprea, SF Mihalache, M Popescu - International Journal of …, 2017 - univagora.ro
Computational intelligence based forecasting approaches proved to be more efficient in real
time air pollution forecasting systems than the deterministic ones that are currently applied …

Video surveillance system for realtime flood detection and mobile app for flood alert

KP Menon, L Kala - 2017 international conference on …, 2017 - ieeexplore.ieee.org
Transportation is one of the most important requirements in people's daily lives. Both urban
and rural areas are connected by highways and bridges. Usually bridges constructed over …

[PDF][PDF] Applying artificial neural networks in environmental prediction systems

M Oprea, A Matei - … in Electrical Engineering Proceedings of the 11th …, 2010 - academia.edu
One of the main environmental problem that need efficient software tools is the prediction
problem. More concrete, it can mean meteorological prediction, air/soil/water pollution …

Application of WG-CNN Neural Network Approach Based on Early Flood Detection using Satellite Images

N Mishra, CL Monica, S Malayil… - 2023 5th …, 2023 - ieeexplore.ieee.org
Natural disasters, such as hurricanes and earthquakes, often cause flooding in
underdeveloped countries, leading to devastating loss of life and property. Providing …

A microcontroller-based radiation monitoring and warning system

V Buruiană, M Oprea - IFIP International Conference on Artificial …, 2012 - Springer
The quality of life is influenced by the environment quality and one of the major factors that
require a continuous monitoring is the level of radiation. This paper presents a …

[PDF][PDF] Design and Construction of an Automated Flood Intimation System

RU Saleheen, A Farhan, E Hoq, F Mahbub - 2023 - academia.edu
Bangladesh is the most susceptible country due to climate change, which is a fact. Parallel
to climate change, globally, the extent of natural disasters has grown drastically [1]. The …

The neural network-based forecasting in environmental systems

M Oprea, A Matei - WSEAS Transactions on Systems and Control, 2010 - dl.acm.org
The forecasting problem is one of the main environmental problems that need efficient
software tools. More concrete, it can mean meteorological/weather forecasting, air/soil/water …