| ITI əməkdaşlarının elmi işləri - kitab |
| Biblioqrafik təsvir | |
| Mamedova , M.H. Collective monograph. Expert assessments in decision making: risks and safety / M.H. Mamedova , Z.G. Jabrayilova , A.A. Ahmadova , - Tallinn : Scientific Route, 2023. - 222 p. - ISBN 978-9916-9850-2-1 | |
| Annotasiya | |
| The monograph “Expert assessments in decision making: risks and safety” pres-ents studies that address the problems of expert assessments and the formation of decisions based on expert opinions in some areas of human activity. The results of decisions based on such assessments have a direct impact on safety and the risks that may follow. The problems are considered in the following aspects.An innovative approach to the formation of a list of types of forensic examinations and expert specialties.It has been established that the existing classification of forensic examinations by branches of specific examination used in their conduct is outdated and does not meet modern requirements. This creates difficulties not only for forensic experts and per-sons wishing to become them, but also for the court, participants in the trial and all citizens interested in obtaining a forensic expert’s opinion. A discrepancy has been established between the types of forensic examination and the specialties of experts for which the qualification of a forensic expert is assigned in departmental lists. Blood cell image recognition using texture and neural networks for leukemia diagnosis.Morphological analysis of blood cell images is usually performed manually by an expert, but this method has many disadvantages, including slow analysis, low accu-racy, and the results depend on the skill of the operator. This reduces the chance of a correct diagnosis in detecting acute lymphoblastic leukemia, a potentially fatal blood cancer if left untreated. Analysis of the capabilities of the Internet of Things in monitoring the physiological state and location of personnel on an offshore oil platform.The possibilities of using the Internet of Things (IoT) to ensure personnel safety on an offshore oil platform were explored. For this purpose, IoT applications and tech-nologies for monitoring the physiological state and location of personnel are analyzed. The use of cloud technologies, big data technologies and artificial intelligence for the development of systems that allow monitoring and, if necessary, making appropriate decisions through systematic monitoring of personnel status is considered. The basis for decision making is expert assessments of deviations of real-time parameter values from the norm. Practical problems associated with the use of Internet of Things tech-nologies in various areas of healthcare are presented. Methodological approaches to intelligent management of human factors on offshore oil and gas platforms.The problems of increasing the efficiency of managing the safety and health of shift workers in the offshore oil and gas industry through the prism of the human factor have been studied. The environmental features, hazards and risks, working and professional conditions in the offshore sector are taken into account. The con-cept of a person-centered approach to personnel safety and health management is proposed, which involves the inclusion of employees in the management loop as the main component of their contextual environment. This involves constant remote monitoring of vital health indicators of employees and, at the same time, parameters of the context-dependent environment of each of them, as well as an expert assess-ment of the deviation of these parameters from the norm.Decision support in a remote health monitoring system for shift workers on an offshore oil platform.A methodological approach to the synthesis of solutions in a geographically dis-tributed intelligent health management system for oil workers working in the mari-time industry is proposed. A functional model of the health management system for workers employed on offshore oil platforms has been developed and implemented in three stages: monitoring and assessment of health indicators and environmental Abstractviiparameters of each employee, as well as decision-making. These interacting operations integrate layers of a distributed intelligent healthcare management system. Expert assessment of engineering and planning solutions to improve the safety of vulnerable road users in Ukraine.The study is devoted to the analysis of the main methodological provisions for conducting an expert assessment (audit) of engineering and planning solutions, organizational and management measures to ensure road safety (RS) for vulnerable road users. | |
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