Results 31 to 40 of about 338,178 (262)

Random Samples Generation from Neutrosophic Distributions Using the neutrostat Package in R [PDF]

Neutrosophic Sets and Systems
Random sample generation plays a fundamental role in statistical simulation, model validation, and performance evaluation. In the context of neutrosophic statistics, where uncertainty, indeterminacy, and imprecision are explicitly modeled, generating ...
M. I. Khan, Zahid Khan, Katrina Lane Krebs   +2 more
doaj   +1 more source

A Dual Measure of Uncertainty: The Deng Extropy

Entropy, 2020
The extropy has recently been introduced as the dual concept of entropy. Moreover, in the context of the Dempster–Shafer evidence theory, Deng studied a new measure of discrimination, named the Deng entropy.
Francesco Buono, Maria Longobardi
doaj   +1 more source

Modeling and Fusing the Uncertainty of FMEA Experts Using an Entropy-Like Measure with an Application in Fault Evaluation of Aircraft Turbine Rotor Blades

Entropy, 2018
As a typical tool of risk analysis in practical engineering, failure mode and effects analysis (FMEA) theory is a well known method for risk prediction and prevention.
Xuelian Zhou, Yongchuan Tang
doaj   +1 more source

Measuring Uncertainty in Forensic Science

IEEE Instrumentation & Measurement Magazine, 2021
This paper aims at describing the ways in which uncertainty is (or is not) measured in the field of forensic science and how the measure of uncertainty can be used to make better judicial decisions. From the traditional fingerprint comparison to the latest advances in forensic DNA analysis, we discuss the advantages and drawbacks of various ways of ...
Vuille, Joelle, Taroni, Franco
openaire   +2 more sources

Attribute Reduction of Incomplete Neighborhood Decision Rough Sets Based on Decision‑Cost Fusion Measures

Shuju Caiji Yu Chuli
Attribute reduction relies on knowledge granulation and uncertainty measurement， thus facilitating intelligent recognition. For incomplete continuous data， neighborhood decision rough sets induce attribute reduction.
ZHANG Wanxiang, ZHANG Xianyong, YANG Jilin, CHEN Benwei   +3 more
doaj   +1 more source

Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification

IEEE Access, 2022
Automatic classification of diabetic retinopathy from retinal images has been increasingly studied using deep neural networks with impressive results.
Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Sarkka, Leo Karkkainen, Kustaa Hietala, Kimmo K. Kaski   +7 more
doaj   +1 more source

Effective Data Augmentation for Active Sonar Classification Using Attention-Based Complementary Learning With Uncertainty Measure

IEEE Access
We enhance the performance of active sonar classification by integrating a validated attention-based complementary learning model (ABCL) with an active learning (AL) framework, following modifications to adapt the model for AL.
Youngsang Hwang, Geunhwan Kim, Wooyoung Hong, Youngmin Choo   +3 more
doaj   +1 more source

Paradox Elimination in Dempster–Shafer Combination Rule with Novel Entropy Function: Application in Decision-Level Multi-Sensor Fusion

Sensors, 2019
Multi-sensor data fusion technology in an important tool in building decision-making applications. Modified Dempster−Shafer (DS) evidence theory can handle conflicting sensor inputs and can be applied without any prior information.
Md Nazmuzzaman Khan, Sohel Anwar
doaj   +1 more source

Are Fertility Preservation Procedures Before Gonadotoxic Therapy and Hematopoietic Stem Cell Transplantation Feasible and Safe in Very Young Children? A Retrospective Cohort Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Fertility preservation (FP) is increasingly integrated into the care of pediatric patients exposed to gonadotoxic therapy or conditioning for hematopoietic stem cell transplantation (HSCT), yet perioperative data in infants and toddlers remain scarce.
Kerstin Saalabian, Yannick Braun, Till‐Martin Theilen, Anke Barnbrock, Theresa Rohm, Fabienne Hammant, Nicole Sänger, Aynura Abbasova‐Semiz, Jan‐Henning Klusmann, Thomas Klingebiel, Udo Rolle, Peter Bader, Henning C. Fiegel, Andrea Jarisch   +13 more
wiley   +1 more source

Rational Use of Herbal Products in Pediatric Patients Treated With Anticancer Drugs in the European Union

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot, Mathieu Corvaisier, Laurence Spiesser‐Robelet, Mylène Duplan, Isabelle Pellier, Delphine Bourneau‐Martin, Séverine Derbré   +6 more
wiley   +1 more source