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System-level remaining useful life (RUL) prediction is challenging because multisensor data fusion requires an integrated representation of multicomponent degradation, and the uncertainty of model parameters is often ove...

A species sensitivity distribution (SSD) is a statistical distribution of the toxicity values of chemicals and is increasingly used in ecological risk assessment (ERA). When an SSD is used with limited toxicity data, add...

This study examines time-varying volatility spillovers between global stock markets and major uncertainty indices using Diebold–Yilmaz (DY) and Baruník–Křehlík (BK) connectedness frameworks within a time-varying p...

This study examines the extent to which the adoption of artificial intelligence (AI) at the enterprise level in Europe is shaped by government institutional readiness and national cultural dimensions. Integrating ins...

Abstract Effective fault diagnosis and fault-tolerant control method for aeronautics electromechanical actuator is concerned in this paper. By borrowing the advantages of model-driven and data-driven methods, a fault tol...

High accuracy positioning has become a key capability for fifth generation (5G) mobile networks and their future generations; however, the achievable performance is still severely limited by network time synchronization,...

Forecasting vaccine demand and determining inventory policies are critical challenges in healthcare supply chains, where uncertainty poses significant operational risks. This study proposes a two-step data-driven framewo...

In January 2020, I kicked off the research for an innovation project at the Copenhagen School of Design and Technology (KEA). I went to NRF in New York together with 40.000 other curious practitioners and academics wanti...

Abstract The driver-automation shared driving is a transition to fully-autonomous driving, in which human driver and vehicular controller cooperatively share the control authority. This paper investigates the shared stee...

Abstract Advances in AI have transformed the traditional Internet of Things (IoT) into smarter, more versatile next-generation devices. Enhanced connectivity among sensors, actuators, and appliances boosts data availabil...

Abstract The rapidly increasing demand and complexity of manufacturing process potentiates the usage of manufacturing data with the highest priority to achieve precise analyze and control, rather than using simplified ph...

Today, climate change has become a global crisis threatening not only the environment but also economic, social, and political systems worldwide. This situation necessitates the systematic analysis of both the drivers co...

Air Quality Health Indices (AQHIs) translate epidemiological concentration–response functions into composite risk metrics for public health communication. Recent proposals grounded in meta-analytic evidence have advanc...

This article analyses how small entrepreneurs navigate the political economy of Transnistria, a de facto state characterised by external dependence, oligarchic concentration of power, and geopolitical uncertainty. Drawin...

Background International evidence suggests that Early Intervention for Psychosis (EIP) services are both effective and cost-effective. Such evidence, however, comes almost exclusively from high-income countries. Aims O...

Background Undernutrition is a leading risk factor for tuberculosis (TB) mortality and poor treatment outcomes. We evaluated the cost-effectiveness of providing in-kind nutritional support to impoverished persons with TB...

Research has shown cultural dimensions can provide insight into effective management within diverse work and school environments. (Sandal & Manzey, 2009). In this study, researchers distributed a research questionnaire b...

As dwellers of our planet receive an overwhelming amount of information and live coverages of scary, traumatizing and horrifying events around the globe, anxiety takes the front seat in the clinical discourse. At the sam...

Abstract This research aims to take advantage of the possibility of an Fuzzy cluster means (FCM) algorithm with a cluster fuzzy groupings in matching images as a result of carrying fuzzy logic specification who enjoys h...

In controlling DC-DC buck converters, the issue of input uncertainties as well as load uncertainties is one of the important challenges in controller design. This paper addresses this issue as well as presents a new robu...

Abstract What is the fundamental economic function of the firm under radical uncertainty? This paper advances a theory of the firm centered on economies of cognition: the systematic reduction in the costs of perception, ...

This paper presents an efficient method for solving fully fuzzy linear fractional programming (FFLFP) problems using pentagonal fuzzy numbers (PFNs) and the decomposition method. In real-world decision-making, uncertaint...

This article examines everyday life at the edge of systemic collapse, focusing on how the disintegration of the Soviet Union and the emergence of independent Uzbekistan were experienced and interpreted by members of the ...

Abstract The ability to monitor the safety of natural gas pipelines is guaranteed by leak detection. Systems are capable of responding quickly, and very precisely to events because delays during such events can lead to s...