Artificial Intelligence as a factor of public transportations system development

Ushakov, Denis; Dudukalov, Egor; Shatila, Khodor

doi:10.1016/j.trpro.2022.06.276

Cited by 22 publications

(4 citation statements)

References 7 publications

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“…It can detect network vulnerabilities in time and effectively by using vulnerability detection through the acquisition of network flow items in the interactive process, which is obviously superior to the traditional detection methods. Through the experimental results, it can be found that using artificial intelligence to detect network security vulnerabilities has certain practical significance and promotion value [9][10].…”

Section: Resultsmentioning

confidence: 99%

Design and Application of Network Security Vulnerability Detection System Based on Artificial Intelligence

Qian,

He,

Zeng

2023

Atlantis Highlights in Engineering

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In order to understand the design and application of network security vulnerability detection system, a design and application research of network security vulnerability detection system based on artificial intelligence is proposed. In this paper, firstly, aiming at the high false alarm rate of network security vulnerability detection methods, an automatic network security vulnerability detection method based on artificial intelligence is designed to improve network security. The network flow table items are obtained, and the discrete function of the feature sample classification subset is established. The obtained discrete degree value is taken as the basis of the normal behavior set of network information. On this basis, the network information features are extracted, the network security situation is described, and the network information is evaluated. From the perspective of artificial intelligence, this paper analyzes the law of network vulnerabilities and realizes automatic detection of vulnerabilities. Practice has proved that this detection method can reduce the false alarm rate of network security vulnerabilities and has high feasibility.

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Section: Resultsmentioning

confidence: 99%

Design and Application of Network Security Vulnerability Detection System Based on Artificial Intelligence

Qian,

He,

Zeng

2023

Atlantis Highlights in Engineering

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“…Kim et al (2023) brought attention to the impact of AI and smart apps on the utilization of public transport by tourists, uncovering insights into how travelers interact with digital technology and leave digital footprints that can be harnessed for transport analytics. Similarly, Ushakov et al (2022) provided valuable insights into the role of AI in the development of public transportation systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Business environment and adoption of AI: Navigation for internationalization by new ventures in emerging markets

Moharrak,

Nguyen,

Mogaji

2024

Thunderbird Intl Bus Rev

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This study explores the intersection of international business and artificial intelligence (AI), focusing on how new ventures navigate environmental challenges for international expansion within Africa's transportation sector. Despite a wealth of literature on AI in developed countries, a notable gap exists in the understanding of the challenges emerging economies face in implementing AI practices, particularly in the context of Africa‐to‐Africa internationalization. The current study delved into the transformative potential of AI, identifying institutional voids as opportunities for innovation on the continent. Employing the Technology Organization and Environment framework, the study investigated the adoption of AI technology in the African business environment. Qualitative data gathered through interviews with transport tech startup founders across Africa provided insights into technological innovation, institutional dynamics, and market peculiarities. The founders recognized hurdles such as data scarcity, human resource constraints, and regulatory obstacles amid institutional voids. The study underscores the importance of understanding expectations, balancing possibilities and realities, and fostering collaboration. It offers valuable insights into the complexities faced by and opportunities for new ventures leveraging AI in internationalization, with practical implications for strategic AI implementation, policy development, market expansion, technology solutions, and cross‐border transportation within Africa's unique business landscape.

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“…Given their perceived pivotal influence, this article aims to comprehensively delve into the financial decision-making of Filipino millennials using aspects such as financial literacy, financial attitude, financial efficacy, and spending behavior through a quantitative approach involving data gleaned from self-administered survey questionnaires, analyzed through the SEM and CFA. As the existing body of literature with regard to the financial behavior of millennials often tackle constructs, such as financial literacy, financial attitude, and financial efficacy in isolation or through paired combinations, this study intends to address the observable gap by exploring these variables comprehensively in the context of spending [31][32][33][34][35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

Decoding the eco-financial mindset: financial literacy, attitudes, and efficacy measures and the spending behavior of Filipino millennials

Lim,

Cordova

2024

BIO Web Conf.

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In today's volatile economy, millennials stand out as a generation defined by their significant reliance on technology and the issues they encounter in their formative and later years. Experiencing from education costs and socio-economic backgrounds, problems exacerbated by the lack of financial acumen and economic downturns, millennials inevitably become financially vulnerable in the increasingly evolving financial landscape. This research delves into Filipino millennials' financial decision-making, focusing on financial literacy, financial attitude, financial efficacy, and spending behavior. Survey questionnaires were distributed among 431 millennials from the cities of Laguna, Philippines, through Google Forms. Data analysis was conducted through Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) in Jamovi, unveiling strong positive correlations among eco-financial literacy, eco-financial efficacy, and eco-financial attitude, emphasizing their interdependence in shaping millennials' financial decisions. A negative correlation is identified between spending behavior and financial attitude and a breakdown of spending patterns revealed both variability and consistency of millennials’ spending patterns across categories. The findings emphasize the value of tailored financial education, training, and intervention programs. Such initiatives must be crafted with acute sensitivity, recognizing millennials' unique aspirations and inclination towards social media and peer influences.

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Artificial Intelligence as a factor of public transportations system development

Cited by 22 publications

References 7 publications

Design and Application of Network Security Vulnerability Detection System Based on Artificial Intelligence

Design and Application of Network Security Vulnerability Detection System Based on Artificial Intelligence

Business environment and adoption of AI: Navigation for internationalization by new ventures in emerging markets

Decoding the eco-financial mindset: financial literacy, attitudes, and efficacy measures and the spending behavior of Filipino millennials

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