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Hub location problems (HLPs), which essentially aim at optimizing the location of hubs and the allocation of spokes to satisfy a given demand, have been studied over nearly four decades. Since dedicated allocation connections between each spoke ...

• We review the existing literature on hub location routing problems.
• We dissect hub location routing models based on a topological point of view.
• We review exact methods and heuristics for solving hub location routing models.
• We ...

Online education is developing rapidly driven by artificial intelligence technology. The massive learning resources lead to information overload and low resource utilization. Intelligent tutoring system (ITS) plays a vital role in the education ...

• The GNN models in ITS scenarios are classified, and key principles and variants summarized.
• This paper explores GNN applications in ITS fields, key challenges, and innovations.
• Commonly used datasets and evaluation metrics in ...

Wheel-legged robots are a type of mobile robot that combines the advantages of wheeled robots, such as fast and stable movement and high efficiency, with the adaptability of legged robots to complex and unstructured environments. Therefore, wheel-...

This paper introduces the 4 tutorials that were organized at the International Conference on Distributed and Event-based Systems (DEBS 2024).

Seismic Data (SD) have been for several decades used as one of the main inspection and exploration tools in various fields, particularly petroleum industry and geoscience. However, seismic datasets are huge and involve many terabytes, whose ...

The field of artificial intelligence (AI) has experienced remarkable progress in recent years, driven by the widespread adoption of open-source machine learning models in both research and industry. Considering the resource-intensive nature of ...

• Analyze the theory of density peaks clustering (DPC) and its performance.
• Summarizes the improvement of DPC and analyzes it with experimental data.
• The related application research of improved DPC in different fields is introduced.

Density peaks clustering (DPC) algorithm is a new algorithm based on density clustering analysis, which can quickly obtain the cluster centers by drawing the decision diagram by using the calculation of local density and relative distance. ...

Artificial Neural Networks (ANNs), sometimes also called models for deep learning, are used extensively for the prediction of a range of environmental variables. While the potential of ANNs is unquestioned, they are surrounded by an ...

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• Commonly held myths about artificial neural network (ANN) modelling are articulated and busted.

In this article a review of Hospital Admission Systems based upon articles published during the 20^th century is presented. The past history of Operations Research as applied to the admission of patients to hospital in this period is examined and ...

The Internet of Things (IoT) uses embedded sensors and networks to intelligently connect our surrounded objects and improve quality of life. A huge number of review research studies have been published that review previous IoT related ...

• Categorizing IoT fields into eight categories based on the IoT review publications.

Battery degradation, caused by multiple coupled degradation mechanisms, severely affects the safety and sustainability of a battery management system (BMS). The battery state of health (SOH) is a commonly-adopted metric to evaluate a ...

This paper introduces the 20 workshops that were organized at The Web Conference 2023.

With the rapid growth of the Internet, human daily life has become deeply bound to the Internet. To take advantage of massive amounts of data and information on the internet, the Web architecture is continuously being reinvented and upgraded. From the ...

The demand for video analysis has been rapidly increasing in the last decade. Video analysis plays a critical role in various technologies, including medical diagnosis, security surveillance, robotics, and sport. Soccer is the most popular sport ...

Knowledge Graph (KG) provides high-quality structured knowledge for various downstream knowledge-aware tasks (such as recommendation and intelligent question-answering) with its unique advantages of representing and managing massive ...

Mining high utility itemsets from massive data is one of the most active research directions in data mining at present. Intelligent optimization algorithms have been applied to the high utility itemsets mining because of their flexibility and ...

Neural networks have shown tremendous growth in recent years to solve numerous problems. Various types of neural networks have been introduced to deal with different types of problems. However, the main goal of any neural network is to transform ...

Hyperspectral images (HSI) are obtained from hyperspectral imaging sensors to capture the object’s information in hundreds of spectral bands. However, how to make full advantage of spatial and spectral information from a large number of spectral ...

Twin support vector regression (TSVR) is a useful extension of traditional support vector regression (SVR). As a new regression model, the basic idea of TSVR is generating a pair of nonparallel functions on both sides of the training data points, ...

The recent advancements in information technology and bioinformatics have led to exceptional contributions in medical sciences. Extensive developments have been recorded for digital devices, thermometers, digital equipments and health monitoring ...