The backpropagation neural network (BPNN) algorithm of artificial intelligence (AI) is utilized to predict A+H shares price for helping investors reduce the risk of stock investment. First, the genetic algorithm (GA) is used to...
For the system with unknown statistical property noises, the property that the energies of the system noise and the observation noise are limited is utilized in this paper. On this basis, two novel fusion algorithms are proposed...
This paper presents novel results concerning engagement with ICT standards and their implementations in open source software (OSS). Specifically, findings draw from observations and analysis related to standards and...
Hydrogen evolution reaction (HER) is directly relevant to green hydrogen production from water splitting. Recently, a low-cost Ni5P4 material has been demonstrated experimentally and theoretically to...
The network in information age has become an important part of life, but in the process of in-depth application of computers and networks, information security issues have also become a significant obstacle to their...
In this paper, an intra-prediction mode (IPM)-based video steganography with secure strategy was proposed for H.264 video stream. First of all, according to the property of IPM conversion after calibration, a content-adaptive...
This paper presents the design of 2*1 and 4*1 RFID reader microstrip array antenna at 2.4GHz for the Internet of things (IoT) networks which are Zigbee, Bluetooth and WIFI. The proposed antenna is composed of identical...
The sudden attack of the new crown virus in 2020 has brought an unprecedented impact on the real estate market economy and has completely disrupted people's work and life rhythm! With the rapid development of the Internet, the...
Early detection of all types of lung nodules with different characters in medical modality images using computer-aided detection is the best acceptable remedy to save the lives of lung cancer sufferers. But accuracy of different...
In the research community, the estimation of the scholarly impact of an individual is based on either citation-based indicators or network centrality measures. The network-based centrality measures like degree, closeness...
The early Poisson distribution and Markov autoregressive models can no longer reflect the characteristics of smart grid business flow. The long correlation characteristics of burst flow are simulated by the heavy tail ON/OFF...
This study investigated (1) the challenges encountered by a heterogeneous group of first year undergraduates during a synchronous on-line collaborative writing activity conducted through Google Classroom using Google Docs and...
Incorporate contextual information into recommendation systems can obtain better accuracy of recommendation, however, the users’ individual privacy may be disclosed by attackers. In order to resolve this problem, the authors...
There is an unmet clinical need for imaging agents capable of detecting early evidence of tumor cell death, since the timing, extent, and distribution of cell death in tumors following treatment can give an indication of...
This study defines translator training as a pedagogical scheme to help learners build up a knowledge network that should sustain their professional competence. It explores specifically how a computer-assisted mode of training...
Face sketch recognition is considered as a sub-problem of face recognition. Matching composite sketches with its corresponding digital image is one of the challenging tasks. A new convolution neural network (CNN) framework for...
This study investigated integrated elderly care services supply chains using a combination of Decision Making Trial and Evaluation Laboratory (DEMATEL), Interpretative Structural Modeling (ISM), and the Technique for Order...
Healthcare insurance fraud influences not only organizations by overburdening the already fragile healthcare systems, but also individuals in terms of increasing premiums in health insurance and even fatalities. Identifying the...
In this study, the authors concerned about influencing factors on mobile learning tools for the applicable and sustainable mobile learning environment. The authors proposed an impact model with five influencing factors namely...
With continual increase of environmental pressure from human activities, it has become necessary to study the process of socioeconomic water usage influencing the water quality. Based on the system dynamic model developed before...
Transitive verbs in Totonac-Tepehua languages show apparent irregularities in agreement in verb forms where both subject and object are speech act participants (that is, 1 H 2 combinations) and one or both are plural. Data from...
Mobility patterns mined from released trajectories can help to allocate resources and provide personalized services, although these also pose a threat to personal location privacy. As the existing sanitization methods cannot...
Under the background of electrification, it is significant to explore the changes in residential electricity consumption for energy conservation and emission reduction. Based on the staggered difference-in-difference (DID)...
The global nature of e-commerce is complicating privacy issues because perceptions of privacy, trust, risk, and fair information practices vary across cultures, and differences in national regulation create challenges for global...