Gait Event Prediction Using Surface Electromyography in Parkinsonian Patients
Bioengineering, 2023 Gait disturbances are common manifestations of Parkinson’s disease (PD), with unmet therapeutic needs. Inertial measurement units (IMUs) are capable of monitoring gait, but they lack neurophysiological information that may be crucial for studying gait ...
Stefan Haufe +3 more
doaj +1 more source
Modeling Emergency Logistics Location-Allocation Problem with Uncertain Parameters
Systems, 2022 In order to model the emergency facility location-allocation problem with uncertain parameters, an uncertain multi-objective model is developed within the framework of uncertainty theory.
Hui Li, Bo Zhang, Xiangyu Ge
doaj +1 more source
Probabilistic Conflict Detection Using Heteroscedastic Gaussian Process and Bayesian Optimization
IEEE Access, 2023 Conflict detection plays a crucial role in ensuring flight safety and efficiency and is a critical component of an air traffic control system. Despite the availability of tools to support air traffic controllers in identifying potential conflicts, their ...
Duc-Thinh Pham +3 more
doaj +1 more source
Energies, 2022 The penetration of renewable energy sources (RESs) in the electrical power system has increased significantly over the past years due to increasing global concern about climate change. However, integrating RESs into the power market is highly problematic.
Zahid Ullah, Arshad, Hany Hassanin
doaj +1 more source
Marks: A New Interval Tool for Uncertainty, Vagueness and Indiscernibility
Mathematics, 2021 The system of marks created by Dr. Ernest Gardenyes and Dr. Lambert Jorba was first published as a doctoral thesis in 2003 and then as a chapter in the book Modal Interval Analysis in 2014.
Miguel A. Sainz +4 more
doaj +1 more source
An Evidence Theory Based Embedding Model for the Management of Smart Water Environments
Sensors, 2023 Having access to safe water and using it properly is crucial for human well-being, sustainable development, and environmental conservation. Nonetheless, the increasing disparity between human demands and natural freshwater resources is causing water ...
Maha Driss +5 more
doaj +1 more source
An Effective and Practical Probabilistic Simplified Neutrosophic Approach for Accurate and Reliable Innovative Design Evaluation for Digital Media Arts [PDF]
Neutrosophic Sets and SystemsThe evaluation and classification of digital artworks remain a challenging task due to the inherent uncertainty, subjectivity, and imprecision in artistic design.
Yang Zhang, Yuzhuo Zhang
doaj +1 more source
Enhance the Uncertainty Modeling Ability of Fuzzy Grey Cognitive Maps by General Grey Number
IEEE Access, 2020 In real-life systems, people cannot get precise data. The data are represented in the forms of interval or multiple intervals in many cases. Most intelligent algorithms are designed for precise data in algorithm research.
Jun Chen, Xudong Gao, Jia Rong
doaj +1 more source
Neutrosophic Type-III Sets for Multi-Layered Uncertainty Modeling in Quality Evaluation of University Ideological and Political Education [PDF]
Neutrosophic Sets and SystemsThis paper presents a new way to better understand and measure complicated situations where things aren't just true or false, but somewhere in between. It focuses on something called Type-3 Neutrosophic Sets, a method that helps us deal with uncertainty,
Hui Liu
doaj +1 more source
Frontiers in PsychiatryIntroductionThe COVID-19 pandemic has exacerbated mental health challenges, particularly depression among college students. Detecting at-risk students early is crucial but remains challenging, particularly in developing countries.
Lorena Cecilia López Steinmetz +8 more
doaj +1 more source