Selection of Crowd in Crowdsourcing for Smart Intelligent Applications: A Systematic Mapping Study

Shang, Rui; Ma, Yi; Ali, Farhad; Hu, Chuanshuang; Nazir, Shah; Wei, Huafei; Khan, Abdullah

doi:10.1155/2021/9368128

Cited by 4 publications

(2 citation statements)

References 81 publications

(505 reference statements)

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“…Decision support system play an important role in identifying, assimilating the nature of complex Data [19].…”

Section: Dss For Action Recognition Of Track and Field Sports Using Acomentioning

confidence: 99%

Decision support system for effective action recognition of track and field sports using ant colony optimization

He¹,

Ren²,

Cheng³

2023

Soft Comput

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Based on emerging technologies like arti cial intelligence, machine learning, the Internet of Things, and virtual reality, various Decision Support Systems (DSS) are being employed for the revolution in the sports industry. The coach can now make very precise and unbiased decisions related to the players' skills and selection. It is now very convenient to improve the skills and performance of the players through the implementation of various computer-grounded methodologies. Professionals can recognize the unwanted behavior of players in time during sports and hence can ensure a peaceful atmosphere during sports. The recognition of non-standard actions by the players can help in the avoidance of serious injuries or illness. The DSS can predict the nature of the weather and the sports personnel can take decisions regarding the carrying out of games. The players can do their training without any restrictions on space and time. The real-time analysis of already existing videos of games can help the newcomers learn and improve their skills and performance. The trainers can check the physical tness of the sportsmen very e ciently and provide them with useful and valuable recommendations related to their tness level. The proposed study has used the Ant Colony Optimization to recognize and track the optimal features of athletes to enhance individual as well as team performance in sport competitions.

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“…Decision support system play an important role in identifying, assimilating the nature of complex Data [19].…”

Section: Dss For Action Recognition Of Track and Field Sports Using Acomentioning

confidence: 99%

Decision support system for effective action recognition of track and field sports using ant colony optimization

He¹,

Ren²,

Cheng³

2023

Soft Comput

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show abstract

“…It is an absolute, unequivocal search conducted over multiple online repositories and gray literature that can be cloned and replicated by other researchers. 39 It involves formulating a cognoscible search strategy which has a definitive focus or answers a specific research question. The review evaluates the type of information retrieved, appliqued and published within known timeframes (in our case 2016–2021).…”

Section: Systematic Mapping Protocolmentioning

confidence: 99%

Utilizing the collective wisdom of fintech in the gcc region: A systematic mapping approach

Khan

Nazir

2022

Measurement and Control

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Globally, with the maturity of information technology, society is now in the information age, magnifying the significance of integrating innovative applications in different financial and other regulatory arenas. The emergence of financial technology (FinTech) based applications has transformed the traditional banking and regulatory systems and enhanced customer satisfaction by providing a balanced environment for protecting its customers from risky behavior or other potential disruptions. Besides these critical applications of FinTech in the financial industry, it is not developed in the Gulf Cooperation Council (GCC) region as in China, United States, and other developed countries. In order to bridge the gaps in the extant by identifying the critical factors involved, this research work presents a systematic analysis of the available literature reported during the period ranging from 2016 to 2021. This systematic mapping of the extant was performed by selecting five different research questions. The key objectives of this systematic research work are, (1) To identify the barriers that restrict the rise of FinTech in the GCC region, (2) Analyze the behavior of different communities regarding the adaptation of FinTech by evaluating the case studies reported, (3) the impacts of FinTech on different communities in the GCC region. (4) The findings of this research work will not only help the state development bodies by encouraging its stakeholders to use FinTech-driven applications in banking, markets, etc. but it will also help the people in maintaining long-term connection with the Ministries of Foreign Affairs, the Dutch regulators, Economic Affairs, the Dutch Central Bank (DNB), as well as with the Authority on Financial Markets (AFM), and (5) this study work will present new research directions for the research community to explore in the near future.

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CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning

Liu,

Tao,

Zhao

et al. 2024

2024 IEEE 40th International Conference on Data Engineering (ICDE)

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Selection of Crowd in Crowdsourcing for Smart Intelligent Applications: A Systematic Mapping Study

Cited by 4 publications

References 81 publications

Decision support system for effective action recognition of track and field sports using ant colony optimization

Decision support system for effective action recognition of track and field sports using ant colony optimization

Utilizing the collective wisdom of fintech in the gcc region: A systematic mapping approach

CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning

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