21   Artículos

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en línea
Abdulla I. Almazrouee, Abdullah M. Almeshal, Abdulrahman S. Almutairi, Mohammad R. Alenezi, Saleh N. Alhajeri and Faisal M. Alshammari    
Electrical generation forecasting is essential for management and policymakers due to the crucial data provided for resource planning. This research employs the Prophet model with single and multiple regressors to forecast the electricity generation in K... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Dongsheng Li, Jinfeng Ma, Kaifeng Rao, Xiaoyan Wang, Ruonan Li, Yanzheng Yang and Hua Zheng    
Accurate rainfall prediction remains a challenging problem because of the high volatility and complicated essence of atmospheric data. This study proposed a hybrid model (DSP) that combines the advantages of discrete wavelet transform (DWT), support vect... ver más
Revista: Water    Formato: Electrónico

 
en línea
Sk. Golam Mahmud, Mahbub C. Mishu, Dip Nandi     Pág. 71 - 76
Revista: AIUB Journal of Science and Engineering    Formato: Electrónico

 
en línea
Sk. Golam Mahmud, Mahbub C. Mishu, Dip Nandi     Pág. 71 - 76
Revista: AIUB Journal of Science and Engineering    Formato: Electrónico

 
en línea
Dangli Wang, Yangran Meng, Shuzhe Chen, Cheng Xie and Zhao Liu    
Accurate vessel traffic flow prediction is significant for maritime traffic guidance and control. According to the characteristics of vessel traffic flow data, a new hybrid model, named DWT?Prophet, is proposed based on the discrete wavelet decomposition... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Dung David Chuwang and Weiya Chen    
Forecasting daily and weekly passenger demand is a key fundamental process used by existing urban rail transit (URT) station authorities to diagnose operational problems and make decisions about train schedule patterns to improve operational efficiency, ... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Md Monowar Hossain, A. H. M. Faisal Anwar, Nikhil Garg, Mahesh Prakash and Mohammed Bari    
Early prediction of rainfall is important for the planning of agriculture, water infrastructure, and other socio-economic developments. The near-term prediction (e.g., 10 years) of hydrologic data is a recent development in GCM (General Circulation Model... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Carlos Alejandro Perez Garcia, Marco Bovo, Daniele Torreggiani, Patrizia Tassinari and Stefano Benni    
The escalating global population and climate change necessitate sustainable livestock production methods to meet rising food demand. Precision Livestock Farming (PLF) integrates information and communication technologies (ICT) to improve farming efficien... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Davide Fronzi, Gagan Narang, Alessandro Galdelli, Alessandro Pepi, Adriano Mancini and Alberto Tazioli    
Forecasting of water availability has become of increasing interest in recent decades, especially due to growing human pressure and climate change, affecting groundwater resources towards a perceivable depletion. Numerous research papers developed at var... ver más
Revista: Water    Formato: Electrónico

 
en línea
Pouya Hosseinzadeh, Ayman Nassar, Soukaina Filali Boubrahimi and Shah Muhammad Hamdi    
Streamflow prediction plays a vital role in water resources planning in order to understand the dramatic change of climatic and hydrologic variables over different time scales. In this study, we used machine learning (ML)-based prediction models, includi... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Islombek Mirpulatov, Mikhail Gasanov and Sergey Matveev    
Crop simulation models are an important tool for assessing agroecosystem performance and the impact of agrotechnologies on soil cover condition. However, the high uncertainty and labor intensiveness of long-term weather forecasting limits the applicabili... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Gonca Gürses-Tran and Antonello Monti    
Forecast developers predominantly assess residuals and error statistics when tuning the targeted model?s quality. With that, eventual cost or rewards of the underlying business application are typically not considered in the model development phase. The ... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Ayesha Ubaid, Farookh Hussain and Muhammad Saqib    
Demand forecasting has a pivotal role in making informed business decisions by predicting future sales using historical data. Traditionally, demand forecasting has been widely used in the management of production, staffing and warehousing for sales and m... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Bowen Long, Fangya Tan and Mark Newman    
Since May 2022, over 64,000 Monkeypox cases have been confirmed globally up until September 2022. The United States leads the world in cases, with over 25,000 cases nationally. This recent escalation of the Monkeypox outbreak has become a severe and urge... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Fernando Ferreira Lima dos Santos and Farzaneh Khorsandi    
All-Terrain Vehicles (ATVs) are popular off-road vehicles in the United States, with a staggering 10.5 million households reported to own at least one ATV. Despite their popularity, ATVs pose a significant risk of severe injuries, leading to substantial ... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Vadim Kramar and Vasiliy Alchakov    
The models for forecasting time series with seasonal variability can be used to build automatic real-time control systems. For example, predicting the water flowing in a wastewater treatment plant can be used to calculate the optimal electricity consumpt... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Lorenzo Menculini, Andrea Marini, Massimiliano Proietti, Alberto Garinei, Alessio Bozza, Cecilia Moretti and Marcello Marconi    
Setting sale prices correctly is of great importance for firms, and the study and forecast of prices time series is therefore a relevant topic not only from a data science perspective but also from an economic and applicative one. In this paper, we exami... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
SAPIA ABDUL RACHMAN,ABDULLAH SUMRAHADI,BADRIYA P MAKOL    
This research concludes that development of Muslim communities in the Philippinesprimarily relies on local initiatives and people?s assertive character to institute behavioralreform. It entails a transformation process involving all sectors of the societ... ver más
Revista: Journal of Government and Politics    Formato: Electrónico

 
en línea
Ahmad Taha, Basel Barakat, Mohammad M. A. Taha, Mahmoud A. Shawky, Chun Sing Lai, Sajjad Hussain, Muhammad Zainul Abideen and Qammer H. Abbasi    
Accurately looking into the future was a significantly major challenge prior to the era of big data, but with rapid advancements in the Internet of Things (IoT), Artificial Intelligence (AI), and the data availability around us, this has become relativel... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Farhana Yasmin, Md. Mehedi Hassan, Sadika Zaman, Si Thu Aung, Asif Karim and Sami Azam    
The uncommon illness known as monkeypox is brought on by the monkeypox virus. The Orthopoxvirus genus belongs to the family Poxviridae, which also contains the monkeypox virus. The variola virus, which causes smallpox; the vaccinia virus, which is used i... ver más
Revista: Computation    Formato: Electrónico

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