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 …
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 …
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 …
consists of an early flood warning station powered by solar energy, a monitoring center, and …
Computational intelligence-based PM2. 5 air pollution forecasting
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 …
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 …
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 …
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
Natural disasters, such as hurricanes and earthquakes, often cause flooding in
underdeveloped countries, leading to devastating loss of life and property. Providing …
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 …
require a continuous monitoring is the level of radiation. This paper presents a …
[PDF][PDF] Design and Construction of an Automated Flood Intimation System
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 …
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 …
software tools. More concrete, it can mean meteorological/weather forecasting, air/soil/water …