ICCDA

Data is very important for Digital Twin Workshop (DTW). Data in DTW is not only to store it, but also needs to be associated with different physical information. Knowledge graph (KG) can acquire, integrate and utilize the information of the whole life of ...

Cloud POS data quality assessment is important for various analyses and management decisions in the tobacco retail industry. In practice, the current cloud POS data quality assessment is still relying on experience judgments while existing studies on ...

This paper mainly analyzes the construction of scientific data centers at home and abroad, researches the development and policy support of the construction of scientific data centers in our province, and introduces the effectiveness and problems of the ...

The bank's loyalty rewards mall has drawn substantial attention as a key strategy to entice and promote user engagement in today's competitive financial sector. However, given consumers' increasingly varied purchasing habits and tastes, banks face a ...

With the development and application of Internet technology, a large amount of text information has become an important source of information for people [1]. However, the diversity of information sources and the complexity of expression make it one of ...

When a system is upgraded, it is necessary to update its formal model accordingly. This study proposes an automaton model updating method based on the L* algorithm. Firstly, the observation table with respect to the original model is modified by ...

The high-dimensional data in market price prediction is a great challenge that was not effectively addressed by the traditional data-driven feature selection approaches. This paper introduces a novel Domain-Knowledge based Feature Selection Framework (...

Aiming at the problems of high risk and low efficiency in the process of transportation of chemical materials, which are corrosive, toxic and harmful, flammable, and explosive in the modern intelligent warehousing logistics and supply chain system, a ...

Aiming at the model distortion, constraint redundancy, and lack of occlusion detection, an optimization algorithm for multi-camera placement based on environment model is proposed to minimize escape rate and measurement error. First, the measurement ...

Contextual targeting is a common strategy that places marketing messages in media locations that are aligned with a target audience. The challenge of contextual targeting is knowing the ideal schema and the set of categories that provide the right ...

As the network is more and more inseparable from people's life, network security has become very important. Nowadays, in the face of a large number of network attacks, effective network attack identification means is particularly important. Therefore, ...

The discharge characteristics of long air gaps, as an important basis for the design of external insulation in ultra-high voltage transmission and transformation projects, have always been of great concern to researchers. The discharge characteristics of ...

Through the optimized parameter prediction method, it can achieve a more accurate prediction of the rocket engine performance parameters; Initial values of the network parameters are randomly determined during the initialization of the BP neural network, ...

This study establishes a prediction model based on the impulse discharge voltage data of ±500kV to ±1100kV DC tower air gaps. The model utilizes the Grey Wolf algorithm optimized AdaBoost-SVR to predict the 50% discharge voltage (U50) of tower air gaps. ...

A major factor in road traffic fatalities and injuries globally is traffic speed. The need to develop efficient and effective methods that assist in boosting safety and monitoring vehicle speed on the roads is urgent and growing. In this work, we ...

Recently, due to the increasing harm caused by facial deepfake videos, the detection technology of facial deepfakes has attracted wide interest, and designing a scientific evaluation mechanism is conducive to the application of the technology. However, ...

Tea picking has always been mainly manual, but with the development of technology, it has been possible to use computer image recognition technology to assist robots in identifying tea leaves and picking them. However, the special characteristics of tea ...

Abstract: The rapid development of computer vision and deep learning algorithms has opened up new avenues for understanding and analyzing visual data. Image analysis has evolved as a useful technique in the realm of fashion for apparel detection, ...

Traditional change detection methods suffer from limited precision and inadequate feature discriminability in images. Although deep learning has considerably advanced the building change detection field, challenges persist due to the diverse change types ...

This paper takes Yellow Crane Tower, a representative building of Jingchu culture, as an example. Using Cinema 4D software to design and produce 3D animation, 3D animation is used to realize the digital display of cultural relics. In the process of ...