A Data-Driven Platform to Computer Performance Analysis and Recommendation using AI and Big Data Analysis

When I was assembling the computer, I found a problem. This problem is that we need to spend a lot of time and energy when we choose a desktop with a configuration and price that we are satisfied with [5]. Some computer websites will only recommend some ordinary desktops to users. Does not allow users to get what they really want, and some other shops that assemble computer mainframes use the characteristics of customers that do not understand computers to increase prices. So I wanted to create a software to help these people who need to assemble a computer to find the most suitable computer efficiently and in accordance with their requirements [6]. This program, according to the needs of users, artificial intelligence application crawler technology can help users find the most suitable computer parts based on big data, and help users get the most cost-effective self-assembled computer host. We applied our application to match a person in need of a computer host with My Platform and conducted a qualitative evaluation of the method [7]. The results showed that My Platform can efficiently and quality match the user's needs and find the best solution for the user.

Exploring research fronts and topics of Big Data and Artificial Intelligence application for cultural heritage and museum research

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/806/1/012036 ◽

2020 ◽

Vol 806 ◽

pp. 012036

Author(s):

Man Zhao ◽

Xue Wu ◽

Han-Teng Liao ◽

Yu Liu

Keyword(s):

Artificial Intelligence ◽

Big Data ◽

Cultural Heritage ◽

Research Fronts ◽

Artificial Intelligence and Modern Home Design

MATEC Web of Conferences ◽

10.1051/matecconf/201822702004 ◽

2018 ◽

Vol 227 ◽

pp. 02004 ◽

Cited By ~ 1

Author(s):

Jialu Song ◽

Yifei Li

Keyword(s):

Artificial Intelligence ◽

Energy Cost ◽

Operating Time ◽

Life Quality ◽

Machine Intelligence ◽

Continuous Development ◽

The Future ◽

Time And Energy ◽

With the development of economy and technology and the continuous development of scientific and technological intelligence equipment, artificial intelligence has begun to enter modern home design. Artificial intelligence can greatly reduce the daily operating time and energy cost and promotes the optimization of life quality. If we say artificial intelligence’s engagement in modern home design is an irreversible trend, and the living interest of people is changed gradually by machine, intelligence emotion replaces gradually, this is perhaps a double-edged sword. The purpose of this paper is to identify the advantages of artificial intelligence application in modern home design and reflect upon its disadvantages of artificial intelligence, and look out on the prospects of the future of artificial intelligence.

A Survey of Open Source Statistical Software (OSSS) and Their Data Processing Functionalities

International Journal of Open Source Software and Processes ◽

10.4018/ijossp.2021010101 ◽

2021 ◽

Vol 12 (1) ◽

pp. 1-20

Author(s):

Gao Niu ◽

Richard S. Segall ◽

Zichen Zhao ◽

Zhijian Wu

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Big Data ◽

Statistical Analysis ◽

Open Source ◽

Open Source Software ◽

Free Software ◽

Statistical Software ◽

This paper discusses the definitions of open source software, free software and freeware, and the concept of big data. The authors then introduce R and Python as the two most popular open source statistical software (OSSS). Additional OSSS, such as JASP, PSPP, GRETL, SOFA Statistics, Octave, KNIME, and Scilab, are also introduced in this paper with function descriptions and modeling examples. They further discuss OSSS's capability in artificial intelligence application and modeling and Popular OSSS-based machine learning libraries and systems. The paper intends to provide a reference for readers to make proper selections of open source software when statistical analysis tasks are needed. In addition, working platform and selective numerical, descriptive and analysis examples are provided for each software. Readers could have a direct and in-depth understanding of each software and its functional highlights.

The exploration of artificial intelligence application in fashion trend forecasting

Textile Research Journal ◽

10.1177/00405175211006212 ◽

2021 ◽

pp. 004051752110062

Author(s):

Mengyun Shi ◽

Cali Chussid ◽

Pinyi Yang ◽

Menglin Jia ◽

Van Dyk Lewis ◽

...

Keyword(s):

Artificial Intelligence ◽

Large Scale ◽

Cost Effective ◽

Fashion Industry ◽

Time Intervals ◽

Large Scale Dataset ◽

Trend Forecasting ◽

Online Stores ◽

Fashion trends today are changing much faster than ever before. Timely and reliable trend forecasting is, therefore, critical in the fashion industry. Traditional fashion forecasting requires professionals to abstract image-based information across design collections and time intervals from around the world, which is extremely time-consuming and labor intensive. Considering the financial cost associated with manual labeling and the accuracy of classifications based upon human subjective judgment, this explorative study proposes a data-driven quantitative abstracting approach using an artificial intelligence (A.I.) algorithm. Firstly, an A.I. model was trained to be familiar with fashion images from a large-scale dataset under different scenarios such as online stores and street snapshots; secondly, the model could detect garments and classify clothing attributes such as fabric textures, garment style, and design details from runway photos and videos; thirdly, the model could summarize fashion trends from the attributes it developed. The adoption of an A.I. algorithm proved to be an objective and systematic computerized method of interpreting fashion dynamics in a more efficient, accurate, sustainable, and cost-effective way.

Artificial Intelligence Application to Cognitive Radio Networks

Intelligent Network Management and Control ◽

10.1002/9781119817840.ch9 ◽

2021 ◽

pp. 217-243

Author(s):

Badr Benmammar ◽

Asma Amraoui

Keyword(s):

Artificial Intelligence ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Impact of Big Data and Artificial Intelligence on Industry: Developing a Workforce Roadmap for a Data Driven Economy

Global Journal of Flexible Systems Management ◽

10.1007/s40171-021-00272-y ◽

2021 ◽

Author(s):

Marina Johnson ◽

Rashmi Jain ◽

Peggy Brennan-Tonetta ◽

Ethne Swartz ◽

Deborah Silver ◽

...

Keyword(s):

Artificial Intelligence ◽

Big Data ◽

Data Driven

Out of the loop? On the radical and the routine in urban big data

Urban Studies ◽

10.1177/00420980211014026 ◽

2021 ◽

pp. 004209802110140

Author(s):

Sarah Barns

Keyword(s):

Artificial Intelligence ◽

Big Data ◽

Computational Models ◽

Data Driven ◽

Urban Systems ◽

Out Of The Loop ◽

Urban Futures ◽

Urban Behaviour ◽

The City

This commentary interrogates what it means for routine urban behaviours to now be replicating themselves computationally. The emergence of autonomous or artificial intelligence points to the powerful role of big data in the city, as increasingly powerful computational models are now capable of replicating and reproducing existing spatial patterns and activities. I discuss these emergent urban systems of learned or trained intelligence as being at once radical and routine. Just as the material and behavioural conditions that give rise to urban big data demand attention, so do the generative design principles of data-driven models of urban behaviour, as they are increasingly put to use in the production of replicable, autonomous urban futures.