Artificial intelligence applications in urban extreme heat management: A systematic review of forecasting, monitoring, mitigation and decision support

Automated image analysis and pattern recognition using artificial intelligence is increasingly being used in various fields of science and practice. In the field of medicine, the use of artificial intelligence based on neural networks of various types has found its application in the analysis of digital diagnostic images, mainly in the field of radiology and radiology. The main criterion that determines the effectiveness of the application of artificial intelligence technologies is the degree of sensitivity and specificity of the method, i.e. the percentage of true positive and true false results. In this case, the final decision on the application of diagnostic results using artificial intelligence is made only by a medical specialist who bears medical and legal responsibility for treating a patient. In this case, the main form of application of artificial intelligence in medicine is the formation of systems for making support for medical decisions in medical information systems. The development of diagnostic and medical decision support systems based on neural networks is actively developing. This is due to improved diagnostic accuracy and reduced time required for its implementation. The accuracy of existing systems reaches 97%, but at the moment there is no single diagnostic SPPVR compatible with the information systems of medical organizations. In conditions of active informatization of military health care, the development of a unified medical information system for the military medical service and EHISS, the introduction of AI elements in clinical practice will ensure the unification and standardization of diagnostics, and will improve the quality of the treatment and diagnostic process in the units, units and organizations of the medical service of the Armed Forces of the Russian Federation.

This chapter investigates the transformative role of Artificial Intelligence (AI) applications in diverse domains, specifically focusing on healthcare, agriculture, defence and medicine. The integration of AI technologies in these sectors has led to significant advancements, improving efficiency, decision-making, and outcomes. AI applications in healthcare range from diagnostic tools and predictive analytics to personalized treatment plans. This chapter explores how AI aids in early disease detection, medical imaging analysis, drug discovery, and patient care optimization. Real cases illustrate the successful implementation of AI-driven solutions, showcasing improved diagnostic accuracy and enhanced patient outcomes. In agriculture, AI technologies contribute to precision farming, crop monitoring and yield prediction. The chapter delves into how AI-driven solutions analyse data from various sources, such as satellite imagery and IoT devices, to optimize resource allocation, pest control, and crop management. Real cases demonstrate increased agricultural productivity and sustainability through the application of AI. AI plays a crucial role in modern defence systems, including surveillance, threat detection, and decision support. This chapter examines how AI enhances military operations, cybersecurity, and strategic planning. Real cases highlight instances where AI technologies have bolstered national security by improving threat identification and response capabilities. The field of medicine benefits extensively from AI applications, ranging from patient care to administrative tasks. Real cases showcase instances where AI-driven technologies have accelerated drug discovery, streamlined healthcare workflows, and personalized patient treatment plans. This chapter provides a comprehensive overview of the impact of AI applications in healthcare, agriculture, defence and medicine. By exploring real cases, it underscores the tangible benefits and transformative potential of AI technologies across these diverse domains. The insights presented in this analysis contribute to a deeper understanding of the evolving landscape shaped by the integration of AI in critical sectors, paving the way for further innovations and advancements. The chapter outlines key aspects of AI applications in each domain and highlights real-world cases demonstrating their impact. This chapter explores how AI facilitates medical research, automates administrative processes, and supports clinical decision-making.

This study investigates the scientific development of Artificial Intelligence (AI) and Machine Learning (ML) applications in Human Resource Management (HRM) through bibliometric analysis. To this end, 522 academic publications indexed in the Scopus database between 2020 and 2024 were analyzed using the R-based bibliometrix package and VOSviewer software. Descriptive analysis, scientific productivity metrics, and content analysis techniques were employed. The findings revealed three main patterns. First, research on AI and ML applications in HRM has grown significantly—particularly between 2022 and 2024—driven by post-pandemic digital transformation. Second, India, China, and the USA lead in research output, while the UK and France demonstrate strong citation impact, indicating a globally expanding research ecosystem. Third, the thematic focus of research is shifting from technical infrastructure toward more human-centered and ethical dimensions. Additionally, keyword co-occurrence network analysis identified three major thematic clusters: HRM functions, AI applications, and machine learning analytics, highlighting the field’s interdisciplinary nature. Compared to the previous studies, this research provides a more comprehensive bibliometric analysis of AI and ML applications in HRM. It is the first extensive study to map the intellectual evolution of the field from a multidisciplinary perspective. Furthermore, it charts research trends and collaboration networks, revealing a shift from technical implementations to strategic integration. In conclusion, this analysis offers new insights to the literature by illustrating the technological evolution in HRM and highlighting the growing significance of cutting-edge approaches such as AI and ML, reaffirming the field as a timely and impactful area of research.

We are glad to introduce you that the 2021 3rd International Conference on Artificial Intelligence Technologies and Applications (ICAITA 2021) was successfully held on September 10-12, 2021. In light of worldwide travel restriction and the impact of COVID-19, ICAITA 2021 was carried out in the form of virtual conference to avoid personnel gatherings. Because most participants were still highly enthusiastic about participating in this conference, we chose to carry out ICAITA 2021 via online platform according to the original schedule instead of postponing it.ICAITA 2021 is to bring together innovative academics and industrial experts in the field of Artificial Intelligence Technologies and Applications to a common forum. The primary goal of the conference is to promote research and developmental activities in Artificial Intelligence Technologies and Applications and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Artificial Intelligence Technologies and Applications and related areas.This scientific event brings together more than 100 national and international researchers in artificial intelligence technologies and applications. During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches.We were pleased to invite three distinguished experts to present their insightful speeches. Our first keynote speaker, Prof. Yau Kok Lim, from Sunway University, Malaysia. His research interests include Applied artificial intelligence, 5G networks, Cognitiveradio networks, Routing and clustering, Trust and reputation, Intelligent transportation system. And then we had Prof. Peter Sincak, from Technical University of Kosice, Slovakia. His research includes Artificial Intelligence and Intelligent Systems. Lastly, we were glad to invite Chinthaka Premachandra, from Shibaura Institute of Technology, Sri Lanka. His research interests include Artificial Intelligence, image processing and robotics. In the last part of the conference, all participants were invited to join in a WeChat group to discuss and explore the academic issues after the presentations. The online discussion was lasted for about 30-60 minutes. The first two parts were conducted via online collaboration tool, Zoom, while the online discussion was carried out through instant communication tool, WeChat. The online platform enabled all participants to join this grand academic event from their own home.We are glad to share with you that we still received lots of submissions from the conference during this special period. Hence, we selected a bunch of high-quality papers and compiled them into the proceedings after rigorously reviewed them. These papers feature following topics but are not limited to: Artificial Intelligence Applications & Technologies, Computing and the Mind, Foundations of Artificial Intelligence and other related topics. All the papers have been through rigorous review and process to meet the requirements of international publication standard.Lastly, we would like to express our sincere gratitude to the Chairman, the distinguished keynote speakers, as well as all the participants. We also want to thank the publisher for publishing the proceedings. May the readers could enjoy the gain some valuable knowledge from the proceedings. We are expecting more and more experts and scholars from all over the world to join this international event next year.The Committee of ICAITA 2021List of titles Committee member, General Conference Chair, Technical Program Committee Chair, Academic Committee Chair, Technical Program Committee Member, Academic Committee Member are available in this Pdf.

PurposeThis study explored the different artificial intelligence (AI) applications used in academic libraries and the key factors and impediments related to their implementation.Design/methodology/approachThe author applied quantitative research methods in the form of a questionnaire, using both open and closed questions. A total of 472 valid questionnaires were received from academic librarians.FindingsThe author sought responses from librarians who had implemented AI applications and those who had not, identifying the types of AI applications implemented, key factors relating to their implementation, and impediments to promoting AI. Gaps were identified between the level of support for AI applications and the negative effect of the impediments. Furthermore, the more extensive the individual and organizational knowledge activities performed by the librarians and libraries held, the more positive the attitude was librarians' attitude toward AI applications in their libraries. However, librarians recognized that AI applications are inevitable, but indicated that the difficulties of in execution have hampered the adoption of AI.Research limitations/implicationsThe sample data were collected in Taiwan; therefore, the data may only represent the views of Taiwanese academic librarians on AI applications. The results of this study may not apply to librarians worldwide; however, they may provide a useful reference.Practical implicationsThe results revealed the top four AI applications that libraries would most likely implement in the near future. Therefore, AI application developers and suppliers can prioritize the promotion of these products for to academic libraries. This study revealed that funding and costs related to AI implementation were discovered to be key factors relating to implementing AI applications. Some impediments to the implementation of AI applications relate to technological problems. Several librarians suggested that managers should invest more resources at an early stage rather than reducing cutting back on human resources initially. Although worries regarding privacy and ethics were mentioned expressed by some respondents, most academic librarians did not regard these to be major concerns.Originality/valueThis study provides the perspectives of librarians who have implemented AI applications and of those who have not. In addition, it explores the advantages and disadvantages of AI applications, and the level of support for and impact of AI applications and promotions. This study also included a gap analysis. Moreover, individual and organizational knowledge activity scales were adopted to examine AI awareness and the perceptions of academic librarians.

The Application and Exploration of Artificial Intelligence in Dance Creation and Performance

Focus issue: Artificial intelligence in medical physics.

In the time we live in, the digital competencies of employees represent an important factor in achieving positive business results. In this sense, the integration and application of modern technologies and artificial intelligence in the learning and teaching process is of crucial importance in the information society of the 21st century. It is precisely the emergence of artificial intelligence and the rapid development of ICT that constantly affects the challenges of life and work, and therefore the success of students through the education system as members of a society in which ICT is an indispensable part. It is known that the development of information technologies has initiated improvement in various areas such as: finance, business, health, education, and the entire labour market. In this research work, it will be evolved to a new review of the relevant literature and research in practice, how artificial intelligence can influence the outcome of the educational process and increase the entrepreneurial competencies of employees. In this direction, this research will present a research study of questionnaires applied for analysis and obtaining data on training and testing for statistical evaluation. Statistical analysis will be based on the application of artificial intelligence, i.e., Adaptive Neuro-Fuzzy Inference Systems (ANFIS). In this research, we use the ANFIS methodology to determine the most important factors of student success in teaching. Based on the review of the relevant literature, it is evident that there is not enough research that would deal with the analysis of the relationship between students' success in mathematics and the factors that influence it. This is confirmed by the research results, which indicate that the quality of students' work in practice is influenced by several different factors: educational technology, teacher competence, teacher motivation, etc. This type of research fills the gap in the lack of research to determine which key factors have the strongest impact on student success. The research results of this paper confirm that the application of artificial intelligence in teaching through educational software, among other things, can be a key success factor for improving teaching. In this sense, the effects of the application of artificial intelligence and specific educational software and the effects they have on student motivation, that is, the interest and self-confidence of all factors of the educational process, have been identified. The obtained results indicate the benefits and advantages that educational institutions can have from the introduction of educational technologies in teaching. In this way, technology has become not only useful, but also a necessary instrument for purposeful action in society. The results of the research show that artificial intelligence through Neuro-fuzzy architecture was created with the aim of overcoming complex and complex problems, it has its application in situations that are mostly impossible to describe analytically. Once learned ways to overcome complex problems, they can be applied after schooling in order to contribute to raising the entrepreneurial competencies of pupils and students, which will lead to the improvement and modernization of business and help you stay relevant in the labour market.

Technology changes life. At present, the application of “artificial intelligence” is becoming more and more popular in enterprise marketing. The application and planning of artificial intelligence has gradually become the core competitiveness of some enterprises in the development process. This paper focuses on “research background”, “application of artificial intelligence in enterprise marketing” and “development trend of artificial intelligence in enterprise marketing”. It is hoped that “artificial intelligence” will be taken as the breakthrough point to further explore the marketing mode of enterprises in the new era in China, and gradually standardize the application and development of artificial intelligence.

With the continuous improvement of oilfield development technology in modern society, the relevant enterprises in the field of oil development have therefore made rapid progress. Artificial intelligence has become an important technological innovation in the field of petroleum exploration and development, based on the application of artificial intelligence in the field of petroleum exploration and development can improve the efficiency of petroleum exploration and development, and promote the development of the industry. This paper focuses on the application of artificial intelligence in the field of petroleum exploration and development of the current situation from the field of logging, physical exploration, drilling and completion of wells, reservoir engineering, oil and gas field ground engineering, and for the application of artificial intelligence in the field of petroleum exploration and development of the development trend is analyzed, aiming to make the application of artificial intelligence in the field of petroleum exploration and development of the field better.

Artificial intelligence systems have gained access to various scientific and research fields, especially in the construction industry. The study seeks to confirm the vital role of introducing Knowledge Management (KM) integrated with Artificial intelligence (AI) applications in the projects. It requires qualifying engineers and imposing their current qualifications to achieve the benefits of Integration of AI Applications based on KM processes to perform their professional roles and recognize the need to develop their capabilities through training and development. The field survey was intended only for 85 engineers working on construction projects (public and private sectors). Three axes were clarified to allocate the extent of the sample response and determine the benefits of using the KM process and AI applications for the success of construction projects. The results showed a positive relationship between the demographic variables of the response and the benefit of using the KM process and AI applications and explaining the variance in the regression relationships. Therefore, the study suggests integrating AI applications based on the KM process to achieve business goals and effectively benefit and exchange management, as its use leads to faster and more effective decision-making, especially if the project strategy approves it. Doi: 10.28991/CEJ-2024-010-03-06 Full Text: PDF

With the continuous development of science and technology, exploration in the field of life sciences has become increasingly profound, encompassing the understanding of human beings themselves and the exploration of disease etiology and treatment methods.Artificial intelligence is defined as the intelligence exhibited by artificially created systems. The application of artificial intelligence is quite extensive and can replace humans in various aspects of work, significantly enhancing efficiency in daily life and work. Artificial intelligence has a dual nature, as it could provide convenience to human society but could also bring about various adverse effects.This paper summarizes the current applications of artificial intelligence in the field of life sciences. By analyzing the applications of artificial intelligence in areas such as gene editing, drug development, and bioinformatics, it demonstrates the potential of artificial intelligence in the field of life sciences. At the same time, this paper also points out the ethical, technical, social, and various challenges that the application of artificial intelligence technology in the field of life sciences faces, with the aim of providing reference for research in related fields.

With the rapid development of modern information electronic technology, artificial intelligence information technology has gradually penetrated into all fields of human society. This paper aims to improve the clinical assistant nurses’ correct understanding of medical artificial intelligence, and to provide an important reference for further promoting the wide application and development of clinical artificial machine intelligence in the field of clinical nursing in China. In this paper, through the comparison of intelligent nursing and traditional nursing effect monitoring, as well as the analysis of medical staff and patients’ satisfaction with artificial intelligence treatment time, treatment effect and treatment scheme, and the results were discussed and analyzed. The problems that should be paid attention to in the application of artificial intelligence in clinical nursing were put forward, which provided guarantee for the development of clinical nursing. The research in this paper has important practical significance for the further development of the two.KeywordsIn the information ageArtificial intelligenceClinical nursingSmart devices

Artificial intelligence (AI) applications pave the way for innovations in the healthcare (HC) industry. However, their adoption in HC organizations is still nascent as organizations often face a fragmented and incomplete picture of how they can capture the value of AI applications on a managerial level. To overcome adoption hurdles, HC organizations would benefit from understanding how they can capture AI applications’ potential.We conduct a comprehensive systematic literature review and 11 semi-structured expert interviews to identify, systematize, and describe 15 business objectives that translate into six value propositions of AI applications in HC.Our results demonstrate that AI applications can have several business objectives converging into risk-reduced patient care, advanced patient care, self-management, process acceleration, resource optimization, and knowledge discovery.We contribute to the literature by extending research on value creation mechanisms of AI to the HC context and guiding HC organizations in evaluating their AI applications or those of the competition on a managerial level, to assess AI investment decisions, and to align their AI application portfolio towards an overarching strategy.

Artificial intelligence (AI) applications in healthcare and considerations for nursing education