Prediction of environmental indicators in land leveling using artificial intelligence techniques

Alzoubi, Isham; Delavar, Mahmoud Reza; Mirzaei, Farhad; Arrabi, Babak Nadjar

doi:10.1007/s40201-018-0297-3

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…AI systems could be used to predict future household energy requirements which can help identify inefficiencies, faults, and control future energy use [81]. In addition, AI can contribute to reduced energy consumption in the construction process [102], and improved environmental outcomes in the design [146] and planning process [26].…”

Section: Ai In the Environment Dimension Of Smart Citiesmentioning

confidence: 99%

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

et al. 2020

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Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban locations that are enabled by community, technology, and policy to deliver productivity, innovation, livability, wellbeing, sustainability, accessibility, good governance, and good planning—has increased the demand for AI-enabled innovations. There is, nevertheless, no scholarly work that provides a comprehensive review on the topic. This paper generates insights into how AI can contribute to the development of smarter cities. A systematic review of the literature is selected as the methodologic approach. Results are categorized under the main smart city development dimensions, i.e., economy, society, environment, and governance. The findings of the systematic review containing 93 articles disclose that: (a) AI in the context of smart cities is an emerging field of research and practice. (b) The central focus of the literature is on AI technologies, algorithms, and their current and prospective applications. (c) AI applications in the context of smart cities mainly concentrate on business efficiency, data analytics, education, energy, environmental sustainability, health, land use, security, transport, and urban management areas. (d) There is limited scholarly research investigating the risks of wider AI utilization. (e) Upcoming disruptions of AI in cities and societies have not been adequately examined. Current and potential contributions of AI to the development of smarter cities are outlined in this paper to inform scholars of prospective areas for further research.

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Section: Ai In the Environment Dimension Of Smart Citiesmentioning

confidence: 99%

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

et al. 2020

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“…It is undeniable that all these solutions lie on the educational plane. The formation of a new philosophy of being, behavioral patterns, mechanisms of sustainable development (Ridho et al, 2018), and the digitalization of society is organized and carried out by people in various fields of activity at all levels of government (Yun, 2018;Alzoubi et al, 2019;Kamal, Adouane, 2020). Their professionalism and value system are the foundation of the future of humanity.…”

Section: Introductionmentioning

confidence: 99%

The impact of the pandemic on the quality of education and the image of a university

Vinichenko¹,

Vinogradova²,

Nikiporets-Takigawa³

et al. 2021

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The objective of the article is to identify the nature of the impact of the pandemic on the quality of education and the image of a university that uses distance education and artificial intelligence. The research methodology includes a complex of general scientific and special methods. A questionnaire and detailed interview have been formed with regard to the indicators of the leading rating systems of higher education. The data obtained have been summarized and analyzed using a focus group. The regression analysis has been used to examine the connection between students' motives for making life easier in the context of the pandemic and distance education and the dangers of the professor-student-administration system. The sustainable links and tendencies of changes in the quality of education and the image of a university have been revealed. The following traps for students are referred to the stable connections: the absence of a valid system of control over the authorship of the executed works; the possibility of the unauthorized use of various electronic sources during the answer; the coronavirus quarantine leads to the erasure of the boundaries between the study and everyday life, personal space and social environment of students; the growth of students' desire to have high marks in the subjects with the decrease of interest to study. Tendencies: the increase of the workload of professors and supporting (technical) staff; constant redistribution of time spent on the performance of official duties with a different degree of efficiency; the growth of willingness, a desire of the administration and university professors to improve the competitiveness of the university as a high-tech educational organization, included in the world map of science; the growth of dissatisfaction with the distance form of education, the degree of efficiency of return on investment in human development; the decrease in the responsibility of students to acquire knowledge through distance learning. The practical relevance of the work lies in the possibility of considering the identified sustainable links and tendencies to improve the education system at both national and global levels. This will enable attention to problem areas at the local level to achieve their overcoming with minimal financial and human losses through proactive actions. The theoretical relevance of the work lies in adding scientific and methodological elements to the theoretical foundations of the concept of development of higher education. The authors studied for the first time the problems of the impact of the COVID-19 pandemic on the quality of education and the image of a university. The originality of the research is determined by the original methodological model, which allowed the participants of the educational process to assess the essence of the ongoing changes associated with the coronavirus quarantine and with the help of an expert group to identify sustainable links and tendencies in changes in the quality of education and the image of a university

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Humanizing the Fourth Industry Revolution in Sustainable Supply Chain Management

Ahamed¹,

Rahim²,

Ahmad³

2022

Advances in Economics, Business and Management Research

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The transition to Industry 4.0 and the growing adoption of new digital technologies in industrial operations present new challenges and opportunities in terms of human work and work organization. To overcome these obstacles and seize emerging opportunities, new socio-technical and human-centered design and engineering methods and approaches are required. This paper will provide an overview of the Industrial Revolution version 5.0 and will discuss various aspects of Industry 4.0 implementation. Entering the 5th Industrial Revolution, globally companies will adopt new technologies to meet the demands of quality customers and value-added products, using new techniques in transparency, smart components, more significant data, and information security. The implementation of Industry 5.0 brings back human to the industry again and reduce unemployment which makes overall positive development for the future Industry. The leadership of organizations, policymakers, and other supply chain practitioners, particularly those currently working on Industry 4.0 initiatives, will benefit from this research because it will provide clear guidance on the dimensions necessary to structurally design and implement an Industry 5.0 strategy. This paper will benefit researchers and practitioners by examining the newest and most revolutionary concept of the Industry 5.0 phenomenon in the context of supply chain management, which is a relatively unexplored area. Finally, the impact of Industry 5.0 on the Malaysian manufacturing industry and the overall economy will be discussed from an economic and productivity point of view.This research would like to identify a research gap in the intersections between Industry 4.0 and Industry 5.0 in regards to supply chain management through SLR to recommend how manufacturing companies should approach the introduction of new digital technologies with the human touch. Theoretically, this research is expected to recommend a framework to the current literature and the body of knowledge with humanizing factors.

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Prediction of environmental indicators in land leveling using artificial intelligence techniques

Cited by 3 publications

References 22 publications

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

The impact of the pandemic on the quality of education and the image of a university

Humanizing the Fourth Industry Revolution in Sustainable Supply Chain Management

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