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Shihab Ahmad Shahriar, Imrul Kayes, Kamrul Hasan, Mahadi Hasan, Rashik Islam, Norrimi Rosaida Awang, Zulhazman Hamzah, Aweng Eh Rak and Mohammed Abdus Salam
Atmospheric particulate matter (PM) has major threats to global health, especially in urban regions around the world. Dhaka, Narayanganj and Gazipur of Bangladesh are positioned as top ranking polluted metropolitan cities in the world. This study assesse...
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Carlos Alfonso Zafra-Mejía, Hugo Alexander Rondón-Quintana and Carlos Felipe Urazán-Bonells
The objective of this paper is to use autoregressive, integrated, and moving average (ARIMA) and transfer function ARIMA (TFARIMA) models to analyze the behavior of the main water quality parameters in the initial components of a drinking water supply sy...
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Brahim Belmahdi, Mohamed Louzazni, Mousa Marzband and Abdelmajid El Bouardi
The adequate modeling and estimation of solar radiation plays a vital role in designing solar energy applications. In fact, unnecessary environmental changes result in several problems with the components of solar photovoltaic and affects the energy gene...
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Dehe Xu, Yan Ding, Hui Liu, Qi Zhang and De Zhang
In the context of global warming, the increasing frequency of drought events has caused negative impacts on agricultural productivity and societal activities. However, the drought occurrences have not been well predicted by any single model, and precipit...
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Alina Barbulescu, Cristian Stefan Dumitriu, Iulia Ilie and Sebastian-Barbu Barbes
Nowadays, observing, recording, and modeling the dynamics of atmospheric pollutants represent actual study areas given the effects of pollution on the population and ecosystems. The existence of aberrant values may influence reports on air quality when t...
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Ziaul Haque Munim, Mohammad Hassan Shakil and Ilan Alon
This study analyzes forecasts of Bitcoin price using the autoregressive integrated moving average (ARIMA) and neural network autoregression (NNAR) models. Employing the static forecast approach, we forecast next-day Bitcoin price both with and without re...
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Radhakrishnan Angamuthu Chinnathambi, Anupam Mukherjee, Mitch Campion, Hossein Salehfar, Timothy M. Hansen, Jeremy Lin and Prakash Ranganathan
Forecasting hourly spot prices for real-time electricity markets is a key activity in economic and energy trading operations. This paper proposes a novel two-stage approach that uses a combination of Auto-Regressive Integrated Moving Average (ARIMA) with...
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Peng He and Ruishan Sun
The efficient management of aviation safety requires the precise analysis of trends in incidents. While classical statistical models often rely on the autocorrelation of indicator sequences for trend fitting, significant room remains for performance impr...
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Bin Ma, Penghui Li, Xing Guo, Hongxue Zhao and Yong Chen
The auto-regressive integrated moving average (ARIMA) model has shown promise in predicting vehicle velocity and road gradient (V?G) for the purpose of constructing power demands in predictive energy management strategies (PEMS) for electric vehicles (EV...
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Rodgers Makwinja, Seyoum Mengistou, Emmanuel Kaunda, Tena Alemiew, Titus Bandulo Phiri, Ishmael Bobby Mphangwe Kosamu and Chikumbusko Chiziwa Kaonga
Forecasting, using time series data, has become the most relevant and effective tool for fisheries stock assessment. Autoregressive integrated moving average (ARIMA) modeling has been commonly used to predict the general trend for fish landings with incr...
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Mohammad Arif Rasyidi
Pág. 107 - 112
Abstrak? Fluktuasi harga bahan pokok yang tidak terkendali dapat menyebabkan kerugian bagi konsumen maupun produsen. Salah satu langkah untuk mengatasi permasalahan tersebut yaitu dengan membuat prediksi harga yang akurat sehingga tindakan preventif dapa...
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I Gusti Ayu Agung Diatri Indradewi,Ni Putu Sri Mulyani,Wayan Gede Suka Parwita
Pág. 325 - 339
Bali merupakan destinasi wisata di Indonesia yang diminati oleh wisatawan dan didukung oleh ketersediaan hotel yang memadai. Covid-19 yang melanda dunia termasuk Bali telah mengakibatkan tingkat penghunian kamar (TPK) hotel mengalami penurunan drastis. O...
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I Gusti Ayu Agung Diatri Indradewi,Ni Putu Sri Mulyani,Wayan Gede Suka Parwita
Pág. 325 - 339
Bali merupakan destinasi wisata di Indonesia yang diminati oleh wisatawan dan didukung oleh ketersediaan hotel yang memadai. Covid-19 yang melanda dunia termasuk Bali telah mengakibatkan tingkat penghunian kamar (TPK) hotel mengalami penurunan drastis. O...
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Jin Shang and Shigeyuki Hamori
With the continuous advancement of machine learning and the increasing availability of internet-based information, there is a belief that these approaches and datasets enhance the accuracy of price prediction. However, this study aims to investigate the ...
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Michael Safo OFORI,Abel FUMEY,Edward NKETIAH-AMPONSAH
Pág. 63 - 99
Governments need accurate tax revenue forecast figures for good economic planning but there seems to be no consensus on which method is the most suitable to deliver reliable results leading to differences in the choice of technique from one country to an...
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Carlos E. Ramos Scharrón, José Javier Hernández Ayala, Eugenio Y. Arima and Francis Russell
The Caribbean has displayed a capacity to fulfill climate change projections associated with tropical cyclone-related rainfall and flooding. This article describes the hydrometeorological characteristics of Hurricane Fiona in Puerto Rico in September 202...
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Carlos E. Ramos-Scharrón, Caroline T. Garnett and Eugenio Y. Arima
Peak streamflow rates from the Insular Caribbean have received limited attention in worldwide catalogues in spite of their potential for exceptionality given many of the islands? steep topographic relief and proneness to high rainfall rates associated wi...
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Han Phoumin, Fukunari Kimura and Jun Arima
The power generation mix of the Association of Southeast Asian Nations (ASEAN) is dominated by fossil fuels, which accounted for almost 80% in 2017 and are expected to account for 82% in 2050 if the region does not transition to cleaner energy systems. S...
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Taher Osman, Prasanna Divigalpitiya and Takafumi Arima
This paper discusses the driving forces (DFs) of informal urbanization (IU) in the greater Cairo metropolitan region (GCMR) using the Analytic Hierarchy Process (AHP). The IU patterns in the GCMR have been extremely influenced by seven DFs: geographical ...
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Taher Osman, Prasanna Divigalpitiya and Takafumi Arima
This paper discusses the driving forces (DFs) of informal urbanization (IU) in the greater Cairo metropolitan region (GCMR) using the Analytic Hierarchy Process (AHP). The IU patterns in the GCMR have been extremely influenced by seven DFs: geographical ...
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