Bogdan I. Epureanu
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View article: Synthetically-trained neural networks for shape classification from measured acoustic scattering
Synthetically-trained neural networks for shape classification from measured acoustic scattering Open
View article: Data-Driven Method for Reduced Order Modeling of Bliskswith Large and Small Mistuning
Data-Driven Method for Reduced Order Modeling of Bliskswith Large and Small Mistuning Open
View article: Specialized Convolutional Neural Network Models for Echolocation-Based Perception
Specialized Convolutional Neural Network Models for Echolocation-Based Perception Open
Echolocating animals can rapidly learn echoic signatures of newly encountered objects from relatively few probing ultrasound pulses. Significant research has recently focused on replicating this ability in engineered systems, but the most …
View article: Enhancing strategic decision-making in differential games through bifurcation prediction
Enhancing strategic decision-making in differential games through bifurcation prediction Open
View article: A Regret-Informed Evolutionary Approach for Generating Adversarial Scenarios for Black-Box Off-Road Autonomy Systems
A Regret-Informed Evolutionary Approach for Generating Adversarial Scenarios for Black-Box Off-Road Autonomy Systems Open
Developing autonomous vehicles (AVs) that operate in diverse and demanding environments is a difficult challenge. Two fundamental tools that can accelerate this process are testing an AV in diverse simulated environments and identifying co…
View article: Mathematical expansion and clinical application of chronic kidney disease stage as vector field
Mathematical expansion and clinical application of chronic kidney disease stage as vector field Open
There are cases in which CKD progression is difficult to evaluate, because the changes in estimated glomerular filtration rate (eGFR) and proteinuria sometimes show opposite directions as CKD progresses. Indices and models that enable the …
View article: New marker for chronic kidney disease progression and mortality in medical-word virtual space
New marker for chronic kidney disease progression and mortality in medical-word virtual space Open
A new marker reflecting the pathophysiology of chronic kidney disease (CKD) has been desired for its therapy. In this study, we developed a virtual space where data in medical words and those of actual CKD patients were unified by natural …
View article: Decision Making for Fast Productivity Ramp-Up of Manufacturing Systems
Decision Making for Fast Productivity Ramp-Up of Manufacturing Systems Open
View article: Anticipating epidemic transitions in metapopulations with multivariate spectral similarity
Anticipating epidemic transitions in metapopulations with multivariate spectral similarity Open
Prediction and control of emerging pathogens is a fundamental challenge for public health. To meet this challenge, new analytic tools are needed to characterize the underlying dynamics of the geographical spread of pathogens, identify pred…
View article: The Effect of Internalized Paramagnetic Nanoparticles on Caenorhabditis elegans Locomotion in the Presence of Magnetic Field
The Effect of Internalized Paramagnetic Nanoparticles on Caenorhabditis elegans Locomotion in the Presence of Magnetic Field Open
Caenorhabditis elegans nematodes are broadly used to investigate the impact of environmental factors on animal physiology and behavior. Here, C. elegans with internalized paramagnetic nanoparticles were placed inside a magnetic field (MF) …
View article: Machine-learning-based Web system for the prediction of chronic kidney disease progression and mortality
Machine-learning-based Web system for the prediction of chronic kidney disease progression and mortality Open
Chronic kidney disease (CKD) patients have high risks of end-stage kidney disease (ESKD) and pre-ESKD death. Therefore, accurately predicting these outcomes is useful among CKD patients, especially in those who are at high risk. Thus, we e…
View article: Dynamic Behavior Analysis of Systems with Friction and Hysteretic Effects
Dynamic Behavior Analysis of Systems with Friction and Hysteretic Effects Open
View article: Evaluating Emergent Coordination in Multi-Agent Task Allocation Through Causal Inference and Sub-Team Identification
Evaluating Emergent Coordination in Multi-Agent Task Allocation Through Causal Inference and Sub-Team Identification Open
Coordination in multi-agent systems is a vital component in teaming effectiveness. In dynamically changing situations, agent decisions depict emergent coordination strategies from following pre-defined rules to exploiting incentive-driven …
View article: Practical guide to using Kendall’s <i>τ</i> in the context of forecasting critical transitions
Practical guide to using Kendall’s <i>τ</i> in the context of forecasting critical transitions Open
Recent studies demonstrate that trends in indicators extracted from measured time series can indicate an approach of an impending transition. Kendall’s τ coefficient is often used to study the trend of statistics related to the critical sl…
View article: Data-driven prediction in dynamical systems: recent developments
Data-driven prediction in dynamical systems: recent developments Open
In recent years, we have witnessed a significant shift toward ever-more complex and ever-larger-scale systems in the majority of the grand societal challenges tackled in applied sciences. The need to comprehend and predict the dynamics of …
View article: Deep learning for centre manifold reduction and stability analysis in nonlinear systems
Deep learning for centre manifold reduction and stability analysis in nonlinear systems Open
Bifurcations cause large qualitative and quantitative changes in the dynamics of nonlinear systems with slowly varying parameters. These changes most often are due to modifications that occur in a low-dimensional subspace of the overall sy…
View article: Task Allocation with Load Management in Multi-Agent Teams
Task Allocation with Load Management in Multi-Agent Teams Open
In operations of multi-agent teams ranging from homogeneous robot swarms to\nheterogeneous human-autonomy teams, unexpected events might occur. While\nefficiency of operation for multi-agent task allocation problems is the primary\nobjecti…
View article: Data-Driven Optimization for Flutter Suppression by Using an Aeroelastic Nonlinear Energy Sink
Data-Driven Optimization for Flutter Suppression by Using an Aeroelastic Nonlinear Energy Sink Open
View article: Anomalous particle diffusion influenced by angular heterogeneity
Anomalous particle diffusion influenced by angular heterogeneity Open
A generalized persistent random walk (GPRW) model to study anomalous particle diffusion influenced by angular heterogeneity is presented. Consider the motion of a particle is composed of many consecutive straight line segments. At the end …
View article: Data-Driven Approach for Identifying Mistuning in As-Manufactured Blisks
Data-Driven Approach for Identifying Mistuning in As-Manufactured Blisks Open
Sector-to-sector geometry or material property variations in as-manufactured bladed disks, or blisks, can result in significantly greater vibration responses during operation compared to nominally cyclic symmetric designs. The dynamics of …
View article: Stability and Resilience of Transportation Systems: Is a Traffic Jam About to Occur?
Stability and Resilience of Transportation Systems: Is a Traffic Jam About to Occur? Open
Measurement of traffic flow stability and resilience is a critical step toward evaluating the performance of transportation systems and implementing appropriate management strategies. Quantifying changes in the stability and resilience of …
View article: Mathematical model of the feedback between global supply chain disruption and COVID-19 dynamics
Mathematical model of the feedback between global supply chain disruption and COVID-19 dynamics Open
View article: Impact of Heterogeneity and Risk Aversion on Task Allocation in Multi-Agent Teams
Impact of Heterogeneity and Risk Aversion on Task Allocation in Multi-Agent Teams Open
Cooperative multi-agent decision-making is a ubiquitous problem with many real-world applications. In many practical applications, it is desirable to design a multi-agent team with a heterogeneous composition where the agents can have diff…
View article: Feedbacks between global supply chain disruption and the spread of SARS-CoV-2
Feedbacks between global supply chain disruption and the spread of SARS-CoV-2 Open
The pandemic of COVID-19 has become one of the greatest threats to human health, causing severe disruptions in the global supply chain, and compromising health care delivery worldwide. Although government authorities sought to contain the …
View article: An agile production network enabled by reconfigurable manufacturing systems
An agile production network enabled by reconfigurable manufacturing systems Open
View article: Practical Guide of Using Kendall's τ in the Context of Forecasting Critical Transitions
Practical Guide of Using Kendall's τ in the Context of Forecasting Critical Transitions Open
Recent studies demonstrate that trends in indicators extracted from measured time series can indicate approaching to an impending transition. Kendall's τ coefficient is often used to study the trend of statistics related to the critical sl…
View article: Intelligent Manufacturing Systems in COVID-19 Pandemic and Beyond: Framework and Impact Assessment
Intelligent Manufacturing Systems in COVID-19 Pandemic and Beyond: Framework and Impact Assessment Open
Pandemics like COVID-19 have created a spreading and ever-higher healthy threat to the humans in the manufacturing system which incurs severe disruptions and complex issues to industrial networks. The intelligent manufacturing (IM) systems…
View article: Data-driven identification of reliable sensor species to predict regime shifts in ecological networks
Data-driven identification of reliable sensor species to predict regime shifts in ecological networks Open
Signals of critical slowing down are useful for predicting impending transitions in ecosystems. However, in a system with complex interacting components not all components provide the same quality of information to detect system-wide trans…
View article: Application of explainable ensemble artificial intelligence model to categorization of hemodialysis-patient and treatment using nationwide-real-world data in Japan
Application of explainable ensemble artificial intelligence model to categorization of hemodialysis-patient and treatment using nationwide-real-world data in Japan Open
The clusters clearly categorized patient on their characteristics, and reflected their prognosis. Our real-world-data-based machine learning system is applicable to identifying high-risk hemodialysis patients in clinical settings, and has …
View article: Effect of Multi-Frequency Whole-Body Vibration on Muscle Activation, Metabolic Cost and Regional Tissue Oxygenation
Effect of Multi-Frequency Whole-Body Vibration on Muscle Activation, Metabolic Cost and Regional Tissue Oxygenation Open
Prolonged immobilization from a critical illness can result in significant muscle atrophy. Whole-body vibration (WBV) could potentially attenuate the issue of muscle atrophy; however, there exists no device that could potentially provide W…