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...
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...
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...
This article is an attempt to cast content into the popular phrase used by activists in the Palestine solidary movement that in order to understand and be moved by the nature of colonization in Palestine all that is needed is a...
In this present work, Retail Service Quality Scale (RSQS) developed by Dabholkar et. al. (1996) has been used to measure service quality. For the purpose of examining the dimensionality of the scales a confirmatory factor...
COVID-19 is a highly contagious virus. Blood test is one of effective methods for COVID-19 diagnosis. However, the issues of blood test are time-consuming and lack of medical staff. In this paper, four deep learning hybrid...
Social media are being extensively used as a platform to conduct marketing and advertising activities (Shwetha et al., 2020). However, there is always a challenge in how organizations can figure out the results of social media...
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 study examines the role of marketing knowledge management (assets and capabilities) in enhancing digital financial innovation through the moderating role of employees' demographic characteristics (age, education...
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 present study examines the difficulties novice data modelers face when asked to provide a data model addressing a given problem. In order to map these difficulties and their causes, two short data modeling problems were...
Cardiovascular disease (CVD) is the leading cause of death in the world. In the United Arab Emirates (UAE), it accounts for 40% of mortality. CVD is caused by multiple cardiometabolic risk factors (CRFs)...
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...
The aim of the present study is to identify the impact of the alternative web-based self and peer assessment approaches on improving the quality of student educational projects. In this context, a study was carried out during...
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 research develops a procedure for DEA window analysis and MPI evaluation of a manufacturing process with fuzzy inputs and outputs. A real case study was provided to illustrate relative efficiency and MPI assessment of a...
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 the motivators knowledge workers employ when sharing knowledge though enterprise social media (ESM) in a telecommunications context. A questionnaire was distributed among knowledge workers in one of the...
Social work field education has reached a crisis point due to the imposition of neoliberal logics in both university and practice settings. As a result, social work programs are faced with challenges such as practicum shortages...
The ability to attract tourists is crucial for the success of tourism firms in Malaysia. This has therefore raised a major concern on which information sources tourists use when making choices on their traveling mode as well as...