Hybrid vegetation-seawall coastal systems for wave hazard reduction: analytics for cost-effective design from optimized features by Erfan Amini, Reza Marsooli, Somayeh Moazeni, Bilal M. Ayyub

Get full text

Health poverty reduction effect of medical insurance in China’s middle-aged and elderly populations: a cross-sectional study by Haijun Yang, Rui Chen, Ye Li, Qunhong Wu, Linghan Shan, Bing Wu, Fang Yin, Yiyun Zhang, Yongqiang Lai, Xinwei Liu, Wanxin Tian, Xiyu Zhang, Yujuan Xu, Wenqing Miao, Baoguo Shi, Feifei Leng

Get full text

Optimization model for enterprise financial management utilizing genetic algorithms and fuzzy logic by Sujuan Wang, Musadaq Mansoor

“…This study explores the complexities of enterprise financial management by optimizing financial models with a particular focus on enhancing risk prediction performance. A multi-objective mathematical model is first developed to establish key optimization goals, including cost reduction, improved capital utilization, and increased economic benefits. …”
Get full text

Internet of Things Security Detection Technology Based on Grey Association Decision Algorithm by Jie Chang, Xiaojun Zuo, Botao Hou, Lipeng Shi, Guanghua Zhang

“…Finally, the characteristics of grey relational analysis and rough set theory attribute reduction are used to form the basis of grey correlation decision-level fusion algorithm, to achieve effective processing of the data of the Internet of Things security monitoring system.…”
Get full text

Adaptive Management of Multi-Scenario Projects in Cybersecurity: Models and Algorithms for Decision-Making by Vadim Tynchenko, Alexander Lomazov, Vadim Lomazov, Dmitry Evsyukov, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Ivan Malashin

“…Future studies will aim to refine scenario adaptation and optimize system response in high-risk project environments.…”
Get full text

Development of a Fault Prediction Algorithm for Marine Propulsion Energy Storage System by Jaehoon Lee, Sang-Kyun Park, Salim Abdullah Bazher, Daewon Seo

“…However, safety concerns such as thermal runaway, overcharging, and internal faults pose significant risks to marine battery systems. This study presents an AI-based fault prediction algorithm to enhance the safety and reliability of lithium-ion battery systems used in electric propulsion ships. …”
Get full text

Electromyogram based muscle stress estimation of Gastrocnemius medialis using Machine learning algorithms by Amol Kumar, Manoj Duhan, Poonam Sheoran

“…The present study has been undertaken to analyze lower limb muscle stress of gastrocnemius medialis without and with a workout (exercise) using machine learning algorithms. Ten healthy subjects (Seven male & three female) have been chosen on the basis of their age, height and mass. …”
Get full text

Simulation of Ground Visibility Based on Atmospheric Boundary Layer Data Using K-Nearest Neighbors and Ensemble Model Algorithms by Ruolan Liu, Shujie Yuan, Duanyang Liu, Lin Han, Fan Zu, Hong Wu, Hongbin Wang

“…Abstract Low visibility will seriously affect traffic safety, and accurate prediction of low visibility can effectively reduce safety risks. This study introduces a machine learning approach for simulating visibility, utilizing the K-Nearest Neighbors algorithm and an ensemble model, which incorporate data from atmospheric boundary layer detection and conventional ground meteorological observations as simulation inputs. …”
Get full text

Multi-Source Data-Driven Terrestrial Multi-Algorithm Fusion Path Planning Technology by Xiao Ji, Peng Liu, Meng Zhang, Chengchun Zhang, Shuang Yu, Bing Qi, Man Zhao

“…Experimental results on a realistic urban dataset demonstrate that the proposed method achieves superior performance in risk avoidance, travel time reduction, and dynamic obstacle handling compared to traditional models. …”
Get full text

Prediction of Imbalance Prices Through Gradient Boosting Algorithms: An Application to the Greek Balancing Market by Konstantinos Plakas, Nikos Andriopoulos, Dimitrios Papadaskalopoulos, Alexios Birbas, Efthymios Housos, Ioannis Moraitis

“…The findings suggest that this approach can significantly improve the decision-making process for market participants, helping mitigate the financial risks associated with imbalance prices.…”
Get full text

Obstetrical and perinatal pathology in women with risk of preterm labor by A. A. Shevchenko

“…The effectiveness of the premature birth risk treatment of the main group patients shows not only the improvement of this complication clinical symptoms and satisfactory functional state of feto-placental complex, but also reduction the percentage of early preterm birth, and as a consequence, decrease in severe perinatal morbidity. …”
Get full text

Algorithm of appointment (examination; consultation) of patients under follow-up care by a general practitioner by R. N. Shepel, P. V. Ipatov, L. Yu. Drozdova, А. M. Kalinina, M. M. Lukyanov, S. Yu. Martsevich, O. M. Drapkina

“…The accumulation; adjustment; and systematization of the obtained results were carried out in Microsoft Office Excel 2016 spreadsheets.The algorithm for a dispensary appointment (examination; consultation) by a general practitioner consists of 9 following modules: patient intake; physical examination; assessing the achievement of health targets; assessing the risk of adverse events; assessing the results of consultations with specialists; establishing or clarifying the diagnosis of a disease (condition); prescribing preventive; diagnostic; therapeutic; and rehabilitation measures for medical reasons; informing the patient about the appointment (examination; consultation); preparing medical documentation.The developed algorithm contains systematized information on the activities within appointment (examination; consultation) of patients under follow-up care by a general practitioner; which will allow for the full implementation of prevention and timely detection of complications or exacerbations of diseases (conditions); treatment adjustment; reduction in the number of urgent hospitalizations; implementation of medical rehabilitation; therapeutic and preventive and health resort treatment.…”
Get full text

Algorithm of software package of intellectual decision support when designing cyber security system at the enterprise by E. A. Vitenburg, A. V. Nikishova

“…Important characteristics of the designing an information security system are the speed at which the result is obtained and the reduction in the residual risk of IS. In this regard, the use of artificial intelligence systems in the process of determining the best set of protection subsystems is important. …”
Get full text

Multiphase Transport Network Optimization: Mathematical Framework Integrating Resilience Quantification and Dynamic Algorithm Coupling by Linghao Ren, Xinyue Li, Renjie Song, Yuning Wang, Meiyun Gui, Bo Tang

“…This study proposes a multi-dimensional urban transportation network optimization framework (MTNO-RQDC) to address structural failure risks from aging infrastructure and regional connectivity bottlenecks. …”
Get full text

Utilization of a bioinspired algorithm for optimum reservoir operation in an altering climate a case study of China by Qiong Li, Hang Zhou, Ali Shirzad

“…Such changes are introduced to the rule curves based on the results of MSOA in terms of flood risk reduction and drought resilience under Shared Socioeconomic Pathways (SSPs). …”
Get full text

Design and Evaluation of Noise Simulation Algorithm Using MATLAB Ray Tracing Engine for Noise Assessment and Prediction by Precin Kalisalvan, Mohd Sayuti Ab Karim, Siti Nurmaya Musa

“…To address this, accurate risk assessment is crucial. The current noise evaluation methods are complex and time-consuming, relying on manual calculations and field measurements. …”
Get full text

A hybrid Genetic Algorithm and Fuzzy Logic approach to ergonomic design of workstations in metal casting operations by Intan Berlianty, Irwan Soejanto, Indun Titisariwati, Favian Ersanta Andhika Putra, Wahyu Tri Utami, Mohamad Kamil Insani

“…Hazardous working conditions, including high temperatures, exposure to gases, and repetitive motions, increase the risk of injuries and fatigue. 1 This study proposes a novel hybrid approach that integrates Genetic Algorithm (GA) and Fuzzy Logic (FL) to optimize workstation ergonomics. …”
Get full text

A Novel Approach for Portfolio Optimization Using Fuzzy AHP Based on Gustafson Kessel Clustering Algorithm by Yeşim Akbaş, Türkan Erbay Dalkılıç, Serkan Akbaş

“…In this context, a preliminary reduction step is applied to the stocks using the Gustafson-Kessel (GK) algorithm, a fuzzy clustering method, to select portfolio stocks. …”
Get full text

Reconsidering the use of race, sex, and age in clinical algorithms to address bias in practice: A discussion paper by Reanna Panagides, Jessica Keim-Malpass

“…By applying a framework for understanding sources of harm throughout the machine learning life cycle and presenting case studies, this paper aims to examine sources of potential harms (i.e. representational and allocative harm) associated with including sex and age in clinical decision-making algorithms, particularly risk calculators. In doing so, this paper demonstrates how systematic discrimination, reductive measurement practices, and observed differences in risk estimation between demographic groups contribute to representational and allocative harm caused by including sex and age in clinical algorithms used for resource distribution. …”
Get full text

Application of Artificial Intelligence for the Implementation of Mismatch Negativity Potential Algorithms in Industrial Automated Predictive Maintenance Systems by Alexander Yu. Chesalov

“…Modeling of automatic reactions to environmental changes and prediction of failures will allow to develop adaptive systems that will significantly reduce the risks of failures and accidents, as well as contribute to optimization of production resources and reduction of operating costs.Purpose. …”
Get full text