Detecting Simulated Nosocomial Disease Outbreaks with Sequential Monte Carlo Methods by Dr Conor Rosato

“…Using ROC curves and the AUC metric, we assess the performance of the proposed method of disease outbreak detection. We show that algorithm can detect true outbreaks with minimal false alarms. …”
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Dynamic control method of construction cost based on fuzzy neural network by Qiao hui Liu, Qian Cao

“…The project cost prediction results are set as the data basis for the dynamic control of the project cost, determine the most optimistic cost, the most probable cost and the most pessimistic cost of project cost in stage of construction through key chain method, and set buffers to realize dynamic control of project cost in stages of construction. …”
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Distributed robust scheduling of distribution-microgrid based on deep learning method integration by WANG Yihong, LIU Jichun, QIU Gao, ZHOU Hao, HE Peixin

“…The D-S evidence theory information integration framework is established, the evidence correction method based on Kappa coefficient and accuracy weight is proposed, the evidence is revised from the output and load power of renewable energy, and then, the uncertainty probability set with higher precision is obtained, and the probability distribution fuzzy set of source load power is obtained. …”
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INSTIs-centered antiviral regimens for first-line treatment of HIV/AIDS: a network meta-analysis and cost-effectiveness analysis by Jian Yang, Xuejuan Zhao, Fan Li

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Security Performance Analysis of Downlink Double Intelligent Reflecting Surface Non-Orthogonal Multiple Access Network for Edge Users by Nguyen Thai Anh, Nguyen Hoang Viet, Dinh-Thuan Do, Adão Silva

“…Based on the analytical results, we develop an ASR optimization algorithm using the alternating optimization method, combining NOMA power allocation factor optimization and IRS passive beam optimization through the Lagrange double transform. …”
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QUIRCY: QUantum Integrated ResilienCY for Power Systems by Umar T. Salman, Zongjie Wang, Timothy M. Hansen

“…The increasing frequency and severity of disruptive weather events, such as windstorms and other high-impact low-probability (HILP) occurrences, emphasize the critical necessity for enhanced preparedness and resilience strategies in power systems. …”
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A Novel Method of Emergency Situation Evaluation for Deep-Sea Based on Bayesian Network by Kun Lang, Dongsen Si, Zhihong Ma

“…In order to make effective emergency decisions timely, this paper proposes an intelligent emergency situation evaluation method based on the Bayesian network for deep-sea emergency response, which is used to evaluate the deep-sea emergency situation quantitatively by calculating the occurrence probability of emergency situation risk at each risk level. …”
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Research on Reliability Improvement Method of Mountainous Power Grid Considering Electrified Railways Access by Like Pan, Yingxin Zhao, Tong Xing, Haibo Zhang, Wenrui Dai, Zhanhao Dong

“…Finally, two complementary enhancement strategies are proposed: dynamic line capacity expansion and optimized backup capacity allocation. Case studies demonstrate the effectiveness of the method through comparative analysis of reliability indices before and after implementation, confirming both technical validity and practical feasibility.…”
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FMEA Risk Assessment Method for Aircraft Power Supply System Based on Probabilistic Language-TOPSIS by Zicheng Xiao, Zhibo Shi, Jie Bai

“…The probabilistic language term value and probability value were fused in the method through the cumulative prospect theory, and a new PL measure function was introduced. …”
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Damage toughness assessment method of power backbone communication network based on power big data by Xue HAN

“…The damage toughness assessment method of power backbone communication network based on power big data was studied, and the damage toughness assessment results were used to formulate protection strategies and improve the network survivability.The power backbone communication network and the attacker were set as the two sides of the game, and the Nash equilibrium strategy of both sides was determined by the minimax method.The damage probability of nodes was obtained by the Nash equilibrium strategy, and the node damage probability was transformed into the network damage form.According to the network damage pattern, the repair conditions contained in the power big data were obtained by cloud computing technology.According to the importance of each node, the repair resources and repair budget were allocated to the nodes in order.The performance time-history response curve of the power backbone communication network was constructed, and the dynamic evaluation results of the network damage toughness were output.The experimental results show that all operations using cloud computing technology to process massive power big data can not exceed 330 ms.When the repair budget and repair resources are the highest, the damage toughness of the power backbone communication network can reach 0.925 at most, indicating that this method can effectively evaluate the damage toughness of the power backbone communication network.…”
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Damage toughness assessment method of power backbone communication network based on power big data by Xue HAN

“…The damage toughness assessment method of power backbone communication network based on power big data was studied, and the damage toughness assessment results were used to formulate protection strategies and improve the network survivability.The power backbone communication network and the attacker were set as the two sides of the game, and the Nash equilibrium strategy of both sides was determined by the minimax method.The damage probability of nodes was obtained by the Nash equilibrium strategy, and the node damage probability was transformed into the network damage form.According to the network damage pattern, the repair conditions contained in the power big data were obtained by cloud computing technology.According to the importance of each node, the repair resources and repair budget were allocated to the nodes in order.The performance time-history response curve of the power backbone communication network was constructed, and the dynamic evaluation results of the network damage toughness were output.The experimental results show that all operations using cloud computing technology to process massive power big data can not exceed 330 ms.When the repair budget and repair resources are the highest, the damage toughness of the power backbone communication network can reach 0.925 at most, indicating that this method can effectively evaluate the damage toughness of the power backbone communication network.…”
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Development of methodological approaches to identify the risks of malfunctions and failures and determine their criticality for mining dump Trucks by Chernyh V.G., Otrokov A.V., Grinko D.A., Grinko A.A., Mironova A.O., Bogatyrev A.R.

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Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods by Bin Zhang, Shengsheng Huang, Chenxing Zhou, Jichong Zhu, Tianyou Chen, Sitan Feng, Chengqian Huang, Zequn Wang, Shaofeng Wu, Chong Liu, Xinli Zhan

“…Accurate AHD predictions enable efficient resource allocation, improved patient care, and potential cost reduction in healthcare.Methods The study selected CS patients undergoing cervical spine surgery and investigated their medical data. …”
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A Reordering Buffer Management Method at Edge Gateway in Hybrid IP-ICN Multipath Transmission System by Yuqi Liu, Rui Han, Xu Wang

“…Second, a flow-priority-based replacement strategy is designed to enhance fairness in resource allocation by evicting packets with lower delivery probability during congestion. …”
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The Control of Gold Nanoparticles on Polyester Fibers by Raman Spectrograms in Conditions of Information Uncertainty with Detection Accuracy by V.M. Emelyanov, T.A. Dobrovolskaya, S.A. Danilova, V.V. Emelyanov, K.V. Butov, E.J. Orlov

“…For detection of reliability of control of nanoparticles of gold on making components of the Raman ranges when using conditions of information uncertainty in work the method of an assessment of multidimensional reliability on joint probability of crossing of dispersions of normal distributions of intensivnost of the Raman spectrograms without nanoparticles and with nanoparticles on fibers depending on wave numbers on all range of their changes is offered. …”
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Multiobjective Cognitive Cooperative Jamming Decision-Making Method Based on Tabu Search-Artificial Bee Colony Algorithm by Fang Ye, Fei Che, Lipeng Gao

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Investigating the Effect of Date and Planting Method (Transplanting and Direct-Seeding) on Quantitative and Qualitative Traits of Sugar Beet (Beta vulgaris L.) by Shahrokh Pahlavianian Miandoab, Mohammad Reza Dadashi, Touraj Mir Mahmoudi, Asiyeh Shahrooghbi, Hossein Adjam Norouzi

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Political, not (just) legal judgement: studying EU institutional balance by Martijn van den Brink

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Prioritization of Preventive Measures: A Multi-Criteria Approach to Risk Mitigation in Road Infrastructure Projects by Aleksandar Senić, Marija Ivanović, Momčilo Dobrodolac, Zoran Stojadinović

“…The experts evaluated 302 preventive measures across 56 risks using 4 predefined criteria: implementation costs, time required for implementation, implementation complexity, and probability of success. A multi-criteria decision making (MCDM) approach was then applied to analyze these evaluations, enabling the prioritization of preventive measures and the allocation of resources toward the most effective strategies. …”
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A sustainable and reliable model for iron closed-loop supply chain network design with considering risk and lateral transmision and developed multi-objective decision-making method by Hamid Saffari, Morteza Abbasi, Jafar Gheidar-Kheljani

“…Purpose: This research proposes a multi-objective and robust model considering both cost and risks related to the environment (water consumption and environmental pollution), social responsibility (working conditions and employee health), operations (change in demand and return rates), and disruption (accs and diseases such as COVID-19) in the supply chain, using horizontal collaboration to deal with it.Methodology: In this research, mixed-integer linear programming and robust optimization technique have been used for closed-loop supply chain network design and a multi-objective method has been developed to solve the problem and create Pareto spaces.Findings: The results of the calculations show the effect of failure probability on the capacity of the facility, the total cost of the network and the degree of collaboration between members of the supply chain to deal with the risk. …”
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