Results 31 to 40 of about 5,294,124 (256)

A Systematic Interaction Analysis of Distance Measures and Feature Representations in Mammography

open access: yesIEEE Access
Distance-based classifiers such as $k$ -nearest neighbors remain widely used in mammographic computer-aided diagnosis and image retrieval, yet distance measure selection is rarely evaluated systematically.
Muhammad Iqbal   +4 more
doaj   +1 more source

Shape Similarity Measurement for Known-Object Localization: A New Normalized Assessment

open access: yesJournal of Imaging, 2019
This paper presents a new, normalized measure for assessing a contour-based object pose. Regarding binary images, the algorithm enables supervised assessment of known-object recognition and localization.
Baptiste Magnier, Behrang Moradi
doaj   +1 more source

Intuitionistic Fuzzy Similarity Measures and Their Role in Classification

open access: yesJournal of Intelligent Systems, 2016
We present some similarity and distance measures between intuitionistic fuzzy sets (IFSs). Thus, we propose two semi-metric distance measures between IFSs.
Baccour Leila   +2 more
doaj   +1 more source

Agricultural and Sustainable Resource Management with Euclidean Distance Measure on Generalized Set Valued Neutrosophic Quintuple Number [PDF]

open access: yesNeutrosophic Sets and Systems
In this paper, we define a generalized Euclidean distance measure based on generalized set valued neutrosophic quintuple numbers. It is shown that the Euclidean distance measure satisfies the distance conditions.
Memet Şahin, Kübra Doğan
doaj   +1 more source

Causality Distance Measures for Multivariate Time Series with Applications

open access: yesMathematics, 2021
In this work, we focus on the development of new distance measure algorithms, namely, the Causality Within Groups (CAWG), the Generalized Causality Within Groups (GCAWG) and the Causality Between Groups (CABG), all of which are based on the well-known ...
Achilleas Anastasiou   +3 more
doaj   +1 more source

Exercise Capacity, Physical Activity, Fatigue, and Neurocognitive Function in Adult Survivors of Childhood Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess   +5 more
wiley   +1 more source

Density Peaks Clustering Based on Multiple Distance Measures for Manufacturing Process

open access: yes, 2016
Data analysis and processing of manufacturing process is significant to ensure the stable production safety, maintain quality stabilization, and optimize production profit.
Shuai Li   +5 more
core   +1 more source

Feeding, Fear, and Acceptance: Caregivers’ Experiences of Nutritional Support During Childhood Cancer Treatment

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques   +5 more
wiley   +1 more source

Physical distance characterization using pedestrian dynamics simulation

open access: yesPapers in Physics, 2022
In the present work we study how the number of simulated customers (occupancy) affects social distance in an ideal supermarket, considering realistic typical dimensions and processing times (product selection and checkout).
Daniel R. Parisi   +20 more
doaj   +3 more sources

COMPARATIVE STUDY OF DISTANCE MEASURES ON FUZZY SUBTRACTIVE CLUSTERING

open access: yesMedia Statistika, 2022
Clustering is a data analysis process which applied to classify the unlabeled data. Fuzzy clustering is a clustering method based on membership value which enclosing set of fuzzy as a measurement base for classification process.
Anisa Eka Haryati, Sugiyarto Surono
doaj   +1 more source

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