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By utilising the conventional models, it is also consuming more time for processing. Hence, there is a crucial requirement for real-world application over big data procedures to perform a scalable and effective solution. For the experimentation, input ...

In the rapidly developing information society, big data has become an important resource among countries. Whoever controls the data will control the right to speak. The ideology of big data is becoming increasingly obvious, mainly manifested as discourse ...

Many extreme-scale applications require the movement of large quantities of data to, from, and among leadership computing facilities, as well as other scientific facilities and the home institutions of facility users. These applications, particularly ...

Soil moisture plays a critical role in several domains and can be used to inform decision-making in agricultural settings, drought forecasting, forest fire predictions, and water conservation. Soil moisture is measured using in-situ and remote-sensing ...

Machine learning (ML) and deep learning (DL) techniques are increasingly applied to produce efficient query optimizers, in particular in regards to big data systems. The optimization of spatial operations is even more challenging due to the inherent ...

Distributed processing of large-scale graph data has many practical applications and has been widely studied. In recent years, a lot of distributed graph processing frameworks and algorithms have been proposed. While many efforts have been devoted to ...

Several machine learning and deep learning algorithms have been presented to detect the criminal behaviours in a smart grid environment in recent studies because of many successful results. However, most learning algorithms for the electricity ...

The proposed algorithm first builds on deep neural networks, a meta‐learner for determining the weights of detection models for the construction of an ensemble detection algorithm and then uses a promising metaheuristic algorithm named search economics ...

With the establishment of independent transmission and distribution tariff system, the effect of transmission and distribution tariff reform and the existing problems are gradually revealed, it is necessary to carry out a comprehensive and integrated ...

In the era of big data, enterprises have higher and higher requirements for data security, especially when dealing with massive amounts of sensitive information in ERP systems, data security issues become particularly important. To address this challenge, ...

Tennis, as the mainstream sports activity in today's society, has a positive impact on health and spiritual improvement, and has gradually become an important teaching content of physical education courses in application-oriented universities. However, ...

In recent years, with the rapid development of artificial intelligence technology, vocational colleges are facing an opportunity for transformation. This paper mainly studies how to use artificial intelligence technology for data analysis of college ...

Urbanization's rapid progress has led to many big cities, which have modernized many people's lives but also engendered big challenges, such as air pollution, increased energy consumption, and traffic congestion. Tackling these challenges was nearly ...

In recent years, edge-cloud solutions have gained widespread adoption for efficiently collecting and analyzing IoT-generated data across various domains like urban mobility, healthcare, and smart cities. These solutions integrate resources from ...

Many problems related to natural language processing are solved by neural networks and big data. Researchers have previously focused on single-task supervised goals with limited data management to train slogan classification. A multi-task learning ...

As one of the most popular sources of information in the world, Wikipedia is edited by a large, global community of contributors. User-generated nature of this online encyclopedia ensures that the information reflects a wide range of topics. Hovewer, ...

With the prevalence of smartphones, smartphone usage in the workplace is increasingly becoming a noteworthy issue. This study aims to utilize big data and image recognition technology, particularly the YOLO v6 algorithm, to detect and analyze smartphone ...

With the growing deployment of the Internet of Things (IoT) and big data, tailored services can be offered by IoT-based big data. However, the data it produces includes a lot of personal information, which must be safeguarded. Access control is a crucial ...

The rapid development of the Internet and the fast iteration of various and complicated information technologies have created favorable conditions for the flourishing of big data, and also provided possibilities for the widespread application of big data ...

Redivis is a web platform specifically tailored to the needs of research computing in the context of large, restricted datasets. At the Stanford Graduate School of Business, Redivis has been leveraged to distribute terabyte-scale datasets to the ...

This study aims to explore the forecasting effect of smart tourism passenger flow supported by big data technology and improve the intelligence of smart tourism. In view of the differences in tourist traffic due to different times, the tourist traffic ...