Results 61 to 70 of about 15,252 (152)
Multidimensional Topological Measure Spaces and Their Applications in Decision‐Making Problems
This paper presents a generalized framework termed the multidimensional topological measure space (MDTMS), developed through multidimensional fuzzy sets, multidimensional topology, and an associated distance measure. The suggested framework enhances traditional fuzzy models by facilitating a more nuanced representation and examination of intricate ...
Jomal Josen +3 more
wiley +1 more source
To effectively predict the rolling bearing fault under different working conditions, a rolling bearing fault prediction method based on quantum particle swarm optimization (QPSO) backpropagation (BP) neural network and Dempster−Shafer evidence ...
Lanjun Wan +3 more
doaj +1 more source
Wildfires present significant environmental and societal challenges, making accurate prediction essential for effective mitigation strategies. This paper develops a comprehensive framework for predicting wildfire occurrence and estimating their severity using random forest (RF) and XGBoost methodologies.
Ahmad Said +4 more
wiley +1 more source
Estimation of Driver Lane Change Intention Based on the LSTM and Dempster–Shafer Evidence Theory
Rapid and correct estimation of driver lane change intention plays an important role in the advanced driver assistance system (ADAS), which could make the driver improve the reliability of the ADAS system and help to decrease driver workload.
Zhi-Qiang Liu +2 more
doaj +1 more source
Ship–bridge pier collisions signify a serious risk to structural integrity and construction health and safety during bridge construction phases where structural redundancy is limited. This study develops a hybrid finite element–machine learning (FE–ML) replacement framework for rapid prediction of collision consequence severity under different maritime
Abdul Haq +6 more
wiley +1 more source
A rolling prediction framework based on an adaptive weighted Health Index (HI) is proposed, constructing an interpretable HI by fusing multi‐degradation features with inverse standard deviation weighting. By integrating a Support Vector Regression (SVR) model with a rolling update mechanism of a sliding time window and exponentially decaying weights ...
Xiaojiu Ma +3 more
wiley +1 more source
Induced aggregation operators in decision making with the Dempster-Shafer belief structure [PDF]
We study the induced aggregation operators. The analysis begins with a revision of some basic concepts such as the induced ordered weighted averaging (IOWA) operator and the induced ordered weighted geometric (IOWG) operator.
Jose M. Merigo Lindahl +1 more
core +1 more source
Single‐cell and transcriptomics from 1.79 million cells identify the forestomach epithelium as the dominant site of antioxidant activity and oxidative phosphorylation (OXPHOS) in the bovine gastrointestinal tract. Along the basal‐to‐luminal differentiation axis, antioxidant capacity and OXPHOS rise in a coordinated metabolic–redox gradient.
Sen‐Lin Zhu +21 more
wiley +1 more source
Addressing the Exception Prioritization Problem in Continuous Auditing Systems With Thresholding
ABSTRACT Continuous auditing research has grappled with the challenge of managing the abundance of detected exceptions in internal audit applications for the past 30 years. A key issue in continuous auditing involves the uncontrolled proliferation of exceptions, where the sheer volume makes manual follow‐up impractical, undermining the viability of the
Jan Svanberg +5 more
wiley +1 more source
Fault detection in an engine by fusing information from multivibration sensors
Fault detection based on the vibration signal of an engine is an effective non-disassembly method for engine diagnosis because a vibration signal includes a lot of information about the condition of the engine.
Ruili Zeng +4 more
doaj +1 more source

