Data Management for Internet-of-Things

Dear Colleagues,

In the current boom of online business, person-to-person communication, web finance, P2P consumer credit, and customer finance, the national bank's credit detailing has become progressively conspicuous in the practice, extensiveness and order of information. Financial development forecasting is important for deciding public monetary strategy. Coordinating the Internet of Things (IoT) in residents' lives empowers the advancement of new astute administrations and applications that serve areas around the city, including medical care, reconnaissance, horticulture, and so forth. IoT gadgets and sensors produce a lot of information that can be broken down to acquire important data and pieces of knowledge that assist in improving residents' personal satisfaction. Neural networks are a man-made reasoning strategy for demonstrating complex objective capabilities. For specific sorts of issues, such as figuring out how to decipher complex true sensor information, artificial neural networks (ANN) are among the best learning strategies presently known. Over recent years, the term “Big Data” has arisen which alludes to enormous amounts of information and the advancements in storing and handling it. The finance industry contains a lot of information which is continuously and dramatically developing, and as such, it faces difficulties in overseeing and investigating this information. Banks are leveraging the power of big data and data science to expand their benefit by acquiring new information from existing information and upgrading predictions from that information. Nonetheless, the speed and volume of the Fintech age far surpass those of existing AI and information science calculations. Accordingly, papers spanning information science and Fintech are of key interest to both the Fintech and information science fields.

The objective of this Special Issue is to connect novel information science hypotheses and methods with Fintech to start new discoveries and collaborations as well as advance Fintech and data science. This Special Issue invites submissions including, but not limited to, the following:

1. Big data analysis with IoT credit risk measurement model using machine learning techniques
2. Explainable AI in economic data management and control integrated with blockchain architecture
3. Cryptocurrency tendency prediction based on IoT with deep learning technique in real-time datasets
4. Supply chain analysis with Financial technology using transfer learning model with IoT
5. Quantitative data analysis in economic fintech system with cyber attack detection based on AI
6. Quadrature quantum learning in security analysis based on IoT-integrated machine learning techniques
7. Online product marketing with pricing options based on IoT and machine technique techniques with data analytics
8. Cloud-based smart contract analysis based on Financial technology using IoT and AI
9. Federated learning architecture in Fintech system in intrusion detection based on IoT
10. Medical data based Financial and economic crisis analysis using ExAI with sensor network and IoT

Dr. Manikandan Ramachandran
Dr. Subrato Bharati
Guest Editors

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