67   Artículos

 
en línea
Zhenzhen Di, Miao Chang, Peikun Guo, Yang Li and Yin Chang    
Most worldwide industrial wastewater, including in China, is still directly discharged to aquatic environments without adequate treatment. Because of a lack of data and few methods, the relationships between pollutants discharged in wastewater and those ... ver más
Revista: Water    Formato: Electrónico

 
en línea
George Papageorgiou, Vangelis Sarlis and Christos Tjortjis    
This study utilized advanced data mining and machine learning to examine player injuries in the National Basketball Association (NBA) from 2000?01 to 2022?23. By analyzing a dataset of 2296 players, including sociodemographics, injury records, and financ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Raj Bridgelall    
The relentless expansion of urban populations and the surge in e-commerce have increased the demand for rapid delivery services, leading to an increase in truck traffic that contributes to urban congestion, environmental pollution, and economic inefficie... ver más
Revista: Information    Formato: Electrónico

 
en línea
Mansour Bayazidy, Mohammad Maleki, Aras Khosravi, Amir Mohammad Shadjou, Junye Wang, Rabee Rustum and Reza Morovati    
River water is one of the most important natural resources for economic development and environmental sustainability. However, river water systems are vulnerable in some of the densely populated regions across the globe. Intense sand mining and waste dis... ver más
Revista: Water    Formato: Electrónico

 
en línea
Vangelis Sarlis, George Papageorgiou and Christos Tjortjis    
Injuries are an unfortunate part of professional sports. This study aims to explore the multi-dimensional impact of injuries in professional basketball, focusing on player performance, team dynamics, and economic outcomes. Employing advanced machine lear... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Rogério Luiz Cardoso Silva Filho, Kellyton Brito and Paulo Jorge Leitão Adeodato    
This study presents an approach to investigating the main interventions related to gains on performance using a combination of educational data mining (EDM) techniques and traditional theory-driven models. The goal is to overcome the limitation of previo... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jinyu Fang, Yuan Ni and Jian Zhang    
UGC short videos play a crucial role in sharing information and disseminating content in the era of new information technology. Accurately assessing the value of UGC short videos is highly significant for the sustainable development of self-media platfor... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Linjing Hu, Jiachen Wang, Zhaoze Guo and Tengda Zheng    
Power load forecasting plays an important role in power systems, and the accuracy of load forecasting is of vital importance to power system planning as well as economic efficiency. Power load data are nonsmooth, nonlinear time-series and ?noisy? data. T... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Noradila Rusli, Nor Zahida Nordin, Ak Mohd Rafiq Ak Matusin, Janatun Naim Yusof, Muhammad Solehin Fitry Rosley, Gabriel Hoh Teck Ling, Muhammad Hakimi Mohd Hussain and Siti Zalina Abu Bakar    
The government enacted the Movement Control Order (MCO) to curb the spread of the COVID-19 pandemic in Malaysia, restricting movement and shutting down several commercial enterprises around the nation. The crisis, which lasted over two years and featured... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Emanuel Rieder, Matthias Schmuck and Alexandru Tugui    
Digital transformation (or digitalization) is the process of continuous further development of digital technologies (such as smart devices, cloud services, and Big Data) that have a lasting impact on our economy and society. In this manner, digitalizatio... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

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