scholarly journals Research on Artificial Intelligence Classification and Statistical Methods of Financial Data in Smart Cities

2022 ◽  
Vol 2022 ◽  
pp. 1-12
Author(s):  
Xuezhong Fu
Keyword(s):  
Artificial Intelligence ◽  
Statistical Methods ◽  
Smart Cities ◽  
Financial Data ◽  
Multidimensional Data ◽  
Data Mining Algorithm ◽  
Data Simulation ◽  
Simulation Experiments ◽  
Sample Data ◽  
Missing Variables

In order to improve the effect of financial data classification and extract effective information from financial data, this paper improves the data mining algorithm, uses linear combination of principal components to represent missing variables, and performs dimensionality reduction processing on multidimensional data. In order to achieve the standardization of sample data, this paper standardizes the data and combines statistical methods to build an intelligent financial data processing model. In addition, starting from the actual situation, this paper proposes the artificial intelligence classification and statistical methods of financial data in smart cities and designs data simulation experiments to conduct experimental analysis on the methods proposed in this paper. From the experimental results, the artificial intelligence classification and statistical method of financial data in smart cities proposed in this paper can play an important role in the statistical analysis of financial data.

Research on the framework of university ideological and political education management system based on artificial intelligence

2021 ◽  
pp. 1-10
Author(s):  
Xuying Sun ◽  
Yu Zhang
Keyword(s):  
Artificial Intelligence ◽  
Political Theory ◽  
Outlier Detection ◽  
Management System ◽  
Detection Algorithm ◽  
Colleges And Universities ◽  
Ideological And Political Education ◽  
Political Education ◽  
Data Simulation ◽  
Artificial Intelligence Technology

The importance of the management of ideological and political theory courses in colleges and universities is objective to the importance of ideological and political theory courses. At present, the management of ideological and political theory courses in colleges and universities has big problems in both macro and micro aspects. This paper combines artificial intelligence technology to build an intelligent management system for ideological and political education in colleges and universities based on artificial intelligence, and conducts classroom supervision through intelligent recognition of student status. The KNN outlier detection algorithm based on KD-Tree is proposed to extract the state information of class students. Through data simulation, it can be known that the KD-KNN outlier detection algorithm proposed in this paper significantly improves the efficiency of the algorithm while ensuring the accuracy of the KNN algorithm classification. Through experimental research, it can be seen that the construction of this system not only clarifies the direction of management from a macro perspective, but also reveals specific methods of management from a micro perspective, and to a certain extent effectively solves the problems in the management of ideological and political theory courses in colleges and universities.

A Critical Assessment and Review of Artificial Intelligence in Facial Paralysis Analysis: Uncovering the Truth

FACE ◽  
2021 ◽  
pp. 273250162110228
Author(s):  
David T. Mitchell ◽  
David Z. Allen ◽  
Matthew R. Greives ◽  
Phuong D. Nguyen
Keyword(s):  
Artificial Intelligence ◽  
Facial Paralysis ◽  
Critical Assessment ◽  
Facial Emotion ◽  
Data Systems ◽  
Computer Algorithms ◽  
Future Directions ◽  
Sample Data ◽  
Before And After ◽  
Facial Reanimation

Machine learning is a rapidly growing subset of artificial intelligence (AI) which involves computer algorithms that automatically build mathematical models based on sample data. Systems can be taught to learn from patterns in existing data in order to make similar conclusions from new data. The use of AI in facial emotion recognition (FER) has become an area of increasing interest for providers who wish to quantify facial emotion before and after interventions such as facial reanimation surgery. While FER deep learning algorithms are less subjective when compared to layperson assessments, the databases used to train them can greatly alter their outputs. There are currently many well-established modalities for assessing facial paralysis, but there is also increasing interest in a more objective and universal measurement system to allow for consistent assessments between practitioners. The purpose of this article is to review the development of AI, examine its existing uses in facial paralysis assessment, and discuss the future directions of its implications.

REGULATION IN MANAGEMENT OF HIGH-TECH INDUSTRIES

2021 ◽  
Vol 2 (65) ◽  
pp. 51-57
Author(s):  
Natalya L. Gagulina ◽  
Keyword(s):  
Artificial Intelligence ◽  
Smart City ◽  
Smart Cities ◽  
Integrated Approach ◽  
High Tech ◽  
Economic Relations ◽  
Regulatory Barriers ◽  
Regulatory Functions ◽  
And Robotics ◽  
Market Disequilibrium

The article analyzes the institutional provision of the regulatory functions of the state in such areas as artificial intelligence and robotics. The analysis is based on the Concept of the development of regulation of relations in the field of artificial intelligence and robotics technologies until 2024. Among the problematic areas of regulation are the restriction of competition, the loss of flexibility in economic relations and the market disequilibrium. It is shown that the solution of these problems requires an integrated approach. So, to implement the concept of “smart city”, it is necessary not only to weaken or remove regulatory barriers, but also to use additional tools that have already applied in the world practice. An opportunity of applying of theoretical and methodological base of quality economics is considered. The solution to a significant part of the problems of digitalization of the region’s economy is the use in the management of the development of the “smart city” the international standard “Sustainable cities and Communities – Indicators for smart cities”.

Die Prüfung der Zahlungsunfähigkeit mittels Algorithmen

2022 ◽  
Author(s):  
Thomas C. Fallak
Keyword(s):  
Artificial Intelligence ◽  
Statistical Methods ◽  
Federal Court ◽  
Digital Analysis ◽  
Medium Term ◽  
Insolvency Law ◽  
Accounting Data ◽  
Court Of Justice ◽  
Federal Court Of Justice

Even after various decisions of the German Federal Court of Justice on the concept of illiquidity under insolvency law, the methodology of the test remains unclear. This also applies to the justiciability of business forecasts. The thesis examines whether and within what limits testing for illiquidity can be performed by digital analysis of accounting data. It also describes the extent to which short- and medium-term liquidity planning can be supported by quantitative forecasts. Statistical methods as well as approaches from the field of artificial intelligence are described.

scholarly journals Explora: Interactive Querying of Multidimensional Data in the Context of Smart Cities

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2737
Author(s):  
Leandro Ordonez-Ante ◽  
Gregory Van Seghbroeck ◽  
Tim Wauters ◽  
Bruno Volckaert ◽  
Filip De Turck
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Temporal Trends ◽  
Multidimensional Data ◽  
Data Sets ◽  
Distributed Data ◽  
Key Factors ◽  
Distributed Data Processing ◽  
Spatial And Temporal Trends ◽  
Query Latency

Citizen engagement is one of the key factors for smart city initiatives to remain sustainable over time. This in turn entails providing citizens and other relevant stakeholders with the latest data and tools that enable them to derive insights that add value to their day-to-day life. The massive volume of data being constantly produced in these smart city environments makes satisfying this requirement particularly challenging. This paper introduces Explora, a generic framework for serving interactive low-latency requests, typical of visual exploratory applications on spatiotemporal data, which leverages the stream processing for deriving—on ingestion time—synopsis data structures that concisely capture the spatial and temporal trends and dynamics of the sensed variables and serve as compacted data sets to provide fast (approximate) answers to visual queries on smart city data. The experimental evaluation conducted on proof-of-concept implementations of Explora, based on traditional database and distributed data processing setups, accounts for a decrease of up to 2 orders of magnitude in query latency compared to queries running on the base raw data at the expense of less than 10% query accuracy and 30% data footprint. The implementation of the framework on real smart city data along with the obtained experimental results prove the feasibility of the proposed approach.

When Wearable Computing Meets Smart Cities

2019 ◽  
pp. 1356-1376 ◽  
Author(s):  
João Soares de Oliveira Neto ◽  
André Luis Meneses Silva ◽  
Fábio Nakano ◽  
José J. Pérez-Álcazar ◽  
Sergio T. Kofuji
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Urban Space ◽  
Universal Design ◽  
Smart Cities ◽  
Wearable Computing ◽  
Future Research ◽  
Successful Implementation ◽  
Persons With Disabilities

In this chapter, wearables are presented as assistive technology to support persons with disabilities (PwD) to face the urban space in an autonomous and independently way. In the Inclusive Smart City (ISC), everyone has to be able to access visual and audible information that so far are available just for people that can perfectly see and listen. Several concepts and technologies – such as Accessibility and Universal Design, Pervasive Computing, Wearable Computing, Internet of Things, Artificial Intelligence, and Cloud Computing – are associated to achieve this aim. Also, this chapter discusses some examples of use of wearables in the context of Smart Cities, states the importance of these devices to the successful implementation of Inclusive Smart Cities, as well as presenting challenges and future research opportunities in the field of wearables in ISC.

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