Search By Subject

In this paper we present a case addressing the drawbacks of financial market data, its limited volumes, history, and sometimes the incomplete and erroneous datasets with variable quality, limited availability, and price barriers. The case aims to enable ...

There is an increasing awareness that strategic foresight is much needed to guide efficient policy-making. The growing digitalization implies a rising amount of digital evidence of many aspects of society (e.g., science, economy, and politics). ...

When one hears the word Metaverse, it is automatically associated with millions of users, immersive experiences and its potential to change our lives. But, what enables the Metaverse to function at such a scale? This talk will present the different ...

The runtime quality of application systems - e.g., performance, reliability, and resilience - directly influences companies' business success. Over the last few years, corresponding analysis measures such as load tests or monitoring have become ...

Performance analysis tools are frequently used to support the development of parallel MPI applications. They facilitate the detection of errors, bottlenecks, or inefficiencies but differ substantially in their instrumentation, measurement, and type of ...

It is our great pleasure to welcome you to the 4th International Workshop on Education and Practice of Performance Engineering - WEPPE 2023. The goal of the Workshop on Education and Practice of Performance Engineering is to bring together University ...

The existing human action recognition methods have imperfect models, resulting in low recognition accuracy, lack of famous teacher resources, shortage of judges, and strong subjectivity in competition and test scoring. Based on Kinect 2.0, through ...

Head-Related Transfer Function (HRTF) describes the acoustic reflection and diffraction effect caused by the influence of the human body (head, torso, etc.) in the transmission of sound waves to the human ear. In Virtual Reality(VR) / Augmented Reality(...

Deep learning (DL) makes radar-based human activity recognition (HAR) attract more attention in the fields of intelligent security, traffic management, medical rehabilitation, and military operation, it can automatically extract the human activity ...

Despite the importance and pervasiveness of Wikipedia as one of the largest platforms for open knowledge, surprisingly little is known about how people navigate its content when seeking information. To bridge this gap, we present the first systematic ...

Matching 2D images from different viewpoints plays a crucial role in the fields of Structure-from-Motion and 3D reconstruction. However, image matching for assorted and unstructured images with a wide variety of viewpoints leads to difficulty for ...

Cultural heritage education is part of informal learning and in recent years the rapid development of digital technology has influenced the way cultural heritage tourism education is delivered. To enable tourists to learn more effectively about local ...

Based on the conceptual framework of DPSIRM, the driving force, pressure, state, influence, response and management factors in the regional fishery modernization system are comprehensively analyzed by big data, so as to clarify the relationship between ...

Education is the first priority in a hundred-year plan. In the background of big data, how to introduce the information technology into our education construction successfully, timely and efficiently has become a difficult problem in modern education, ...

Recently, lots of waterlogging disasters happened in cities of China, which endangers social safety and residents’ properties. The basic reason of urban waterlogging is that rainfall intensity exceeds drainage capacity of urban underground rainwater ...

The number of scientific publications is increasing each year, and researchers' demand for literature analysis is also growing. This study aims to propose a computer-aided literature analysis method based on natural language processing technology. Our ...

In order to investigate the effect of various natural language processing models on different data processing, this paper adopted the consumer reviews of two well-known Internet retailing websites: Yelp and Zappos, and used four text embedding methods: ...

This study applies machine-learning techniques and rule-based methods to construct nonlinear nonparametric models to forecast retail consumer and medium-sized enterprises (SMEs) credit risk. By combining customer transactions and enterprise data from ...

Online social media provides a channel for monitoring people’s social behaviors from which to infer and detect their mental distresses. During the COVID-19 pandemic, online social networks were increasingly used to express opinions, views, and moods due ...

Population health monitoring is a fundamental component of the public health system. Due to the high-cost nature of traditional population-wise health-data collection methods, a class of sparse-sampling-completion algorithms are proposed to exploit the ...