Results 51 to 60 of about 141,623 (240)
IEEE Access, 2020 This paper optimizes and simulates the visual effects of garden graphics based on particle swarm and wavelet threshold algorithm, and uses deep belief networks as the main body of the classifier. To make up for the shortcomings of the activation function
Hua Zhang, Xiongfei Min
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Medication nonadherence during the first 100 days after pediatric hematopoietic stem cell transplantation (HSCT) and during oncology treatment increases risk for complications. BMT4me is a caregiver‐facing mobile health (mHealth) application providing medication reminders, symptom tracking, and note‐taking features to support ...
Micah A. Skeens +4 more
wiley +1 more source
The normative representation of quantified beliefs by belief functions
Artificial Intelligence, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On the Orthogonal Projection of a Belief Function [PDF]
, 2007 In this paper we study a new probability associated with any given belief function b, i.e. the orthogonal projection π[b] of b onto the probability simplex P. We provide an interpretation of π[b] in terms of a redistribution process in which the mass of each focal element is equally distributed among its subsets, establishing an interesting analogy ...
openaire +1 more source
ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Children with cancer living in poverty experience worse survival and quality of life. Interventions connecting low‐income families to benefits (e.g., Supplemental Nutrition Assistance Program [SNAP] improve health outcomes; yet nearly 50% of SNAP‐eligible pediatric oncology families are unenrolled.
Puja J. Umaretiya +11 more
wiley +1 more source
Research on Evidence Theory Model of Hesitant Fuzzy Information Over Two Universes
Journal of Harbin University of Science and TechnologyAiming at the computational complexity of generalized two-universe hesitant fuzzy rough set in dealing with complex hesitant information multi-attribute decision making, this paper deeply studies the description and construction of two-universe hesitant ...
MAO Yixuan, WANG Qinghai
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Misperception of Body Weight After Childhood Cancer
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Misperception of body weight can negatively impact the weight management efforts of childhood cancer survivors (CCSs). Both being overweight or underweight are associated with chronic health conditions commonly observed in CCS; therefore, accurate weight perception is critical for reducing long‐term health risks.
Fabiën N. Belle +8 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Acute lymphoblastic leukaemia (ALL) is one of the most treatable forms of paediatric cancer; however, there is a substantial burden of treatment‐related toxicities (TRTs). In addition, the long‐term changes in children's health‐related quality of life (HRQoL) due to toxic treatments are not well understood.
Clare Ghows +19 more
wiley +1 more source
Belief Reliability Distribution Based on Maximum Entropy Principle
IEEE Access, 2018 Belief reliability is a new reliability metric based on the uncertainty theory, which aims to measure system performance incorporating the influences from design margin, aleatory uncertainty, and epistemic uncertainty.
Tianpei Zu +3 more
doaj +1 more source
Algorithms for combining belief functions
International Journal of Approximate Reasoning, 1992 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wagner Teixeira da Silva +1 more
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