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Li-Chiu Chang, Mohd Zaki M. Amin, Shun-Nien Yang and Fi-John Chang
A regional inundation early warning system is crucial to alleviating flood risks and reducing loss of life and property. This study aims to provide real-time multi-step-ahead forecasting of flood inundation maps during storm events for flood early warnin...
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Li-Chiu Chang, Mohd Zaki M. Amin, Shun-Nien Yang and Fi-John Chang
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Salaheddin Hosseinzadeh, Hadi Larijani, Krystyna Curtis and Andrew Wixted
This article proposes an adaptive-network-based fuzzy inference system (ANFIS) model for accurate estimation of signal propagation using LoRaWAN. By using ANFIS, the basic knowledge of propagation is embedded into the proposed model. This reduces the tra...
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Shamotra Oad, Monzur Alam Imteaz and Fatemeh Mekanik
Water resources systems planning, and control are significantly influenced by streamflow forecasting. The streamflow in northern and north-central regions of Victoria (Australia) is influenced by different climate indices, such as El Niño Southern Oscill...
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Sudhanshu Panda, Devendra M. Amatya, Rhett Jackson, Ge Sun and Asko Noormets
The study goal was to develop automated user-friendly remote-sensing based evapotranspiration (ET) estimation tools: (i) artificial neural network (ANN) based models, (ii) ArcGIS-based automated geospatial model, and (iii) executable software to predict ...
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Jin Woo Moon, Jae D. Chang and Sooyoung Kim
This study examines the performance and adaptability of Artificial Neural Network (ANN)-based thermal control strategies for diverse thermal properties of building envelope conditions applied to residential buildings. The thermal performance using two no...
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Der-Chang Lo, Chih-Chiang Wei and En-Ping Tsai
This paper presents artificial neural network (ANN)-based models for forecasting precipitation, in which the training parameters are adjusted using a parameter automatic calibration (PAC) approach. A classical ANN-based model, the multilayer perceptron (...
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Young-Rong Kim, Min Jung and Jun-Bum Park
As interest in eco-friendly ships increases, methods for status monitoring and forecasting using in-service data from ships are being developed. Models for predicting the energy efficiency of a ship in real time need to effectively process the operationa...
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Olivier Pantalé
Numerical methods based on finite element (FE) have proven their efficiency for many years in the thermomechanical simulation of forming processes. Nevertheless, the application of these methods to new materials requires the identification and implementa...
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Sumudu S. Karunarathne, Khim Chhantyal, Dag A. Eimer and Lars E. Øi
The physical properties, like density and viscosity, of alkanolamine + H2O (water) + CO2 (carbon dioxide) mixtures receive a significant amount of attention as they are essential in equipment sizing, mathematical modelling and simulations of amine-based ...
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Neeraj Tomar, Geeta Rani, Vijaypal Singh Dhaka, Praveen K. Surolia, Kalpit Gupta, Eugenio Vocaturo and Ester Zumpano
The exponentially growing energy requirements and, in turn, extensive depletion of non-restorable sources of energy are a major cause of concern. Restorable energy sources such as solar cells can be used as an alternative. However, their low efficiency i...
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Mohamad Ali Ridho B K A, Chayut Ngamkhanong, Yubin Wu and Sakdirat Kaewunruen
The recycled aggregate is an alternative with great potential to replace the conventional concrete alongside with other benefits such as minimising the usage of natural resources in exploitation to produce new conventional concrete. Eventually, this will...
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Md Iltaf Zafar, Shruti Bharadwaj, Rakesh Dubey, Saurabh Kr Tiwary and Susham Biswas
The accurate prediction of noise levels at outdoor locations requires detailed data of the noise sources and terrain parameters and an efficient model for prediction. However, the possibility of predicting noise with reasonable accuracy using less input ...
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Jianzhong Zhou, Tian Peng, Chu Zhang and Na Sun
This paper introduces three artificial neural network (ANN) architectures for monthly streamflow forecasting: a radial basis function network, an extreme learning machine, and the Elman network. Three ensemble techniques, a simple average ensemble, a wei...
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Mustafa Arif Özgür
Wind energy is one of the most signi?cant and rapidly developing renewable energy sources in the world and it provides a clean energy resource, which is a promising alternative in the short term in Turkey. The wind energy potential in various parts of Tu...
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Sijie Liu, Xinyu Liu and Pei Lu
Nowadays, sensor-based air pollution sensing systems are widely deployed for fine-grained pollution monitoring. In-field calibration plays an important role in maintaining sensory data quality. Determining the model structure is challenging using existin...
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Abualkasim Bakeer, Mohammed Alhasheem and Saeed Peyghami
The disadvantage of finite control set-model predictive control (FCS-MPC) is that the switching frequency is variable and relies on the sampling time and operating point. This paper describes how to implement a new algorithm to achieve a fixed-switching ...
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