Identifying and Evaluating the Components of Human Resource Competence in the Era of Digital Transformation by Mahdieh Abidi, Rashid Zolfaghari Zafarani, Masoud Haghighi

“…Digital transformation is a dramatic change in the performance of the organization and the country, centered on transformative technologies such as the Internet of Things, cloud computing, mobile applications, social media, virtual and augmented reality, data analytics, artificial intelligence, and blockchain (Westerman et al, 2014). …”
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Designing the strategic model of online banking relational marketing in the fourth industrial revolution with the foundation's data approach. by Aliasghar Atarodi, arezo ahmadi danyali, nader gharib nawaz

“…Mohammadi fateh et al, (2022) showed that the technologies of the fourth industrial revolution are big data, biological identification system, fraud detection technologies, contactless ATM, data mining, cloud computing, marketing, versatile channel, artificial intelligence, fintech, biometrics, blockchain, intelligent social networks, artificial neural networks, remote monitoring technologies, commercial Internet of Things, and digital account, respectively. Then, by these experts, the application rate of these technologies is specified in four areas of banking, i.e. marketing, human resource, risk management, and customer orientation in a three-level spectrum (low, medium and high). …”
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Low-Power On-Chip Energy Harvesting: From Interface Circuits Perspective by Shuang Song, Dehong Wang, Mengyu Li, Siyao Cao, Feijun Zheng, Kai Huang, Zhichao Tan, Sijun Du, Menglian Zhao

“…Multiple parameter environment monitoring via wireless Internet of Thing sensors is growing rapidly, thanks to low power techniques of the node. …”
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Boruta-grid-search least square support vector machine for NO2 pollution prediction using big data analytics and IoT emission sensors by Habeeb Balogun, Hafiz Alaka, Christian Nnaemeka Egwim

“…The purpose of this paper is to pre-process a relatively large data of NO2 from Internet of Thing (IoT) sensors with time-corresponding weather and traffic data and to use the data to develop NO2 prediction models using BA-GS-LSSVM and popular standalone algorithms to allow for a fair comparison. …”
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