Results 71 to 80 of about 27,472 (259)
BMC Medical Research MethodologyBackground Patient stratification is the cornerstone of numerous health investigations, serving to enhance the estimation of treatment efficacy and facilitating patient matching.
Judith Lambert +3 more
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Cosine Similarity Measure Based Multi-attribute Decision-making with Trapezoidal Fuzzy Neutrosophic Numbers [PDF]
Neutrosophic Sets and Systems, 2015 The objective of the study is to present cosine similarity measure based multi-attribute decision making under neutrosophic environment. The assesments of alternatives over the attributes are expressed with trapezoidal fuzzy neutrosophic numbers in which
Pranab Biswas +2 more
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Joint Control of Radiated and Surface Waves via Space‐Time Coding Metasurfaces
Advanced Functional Materials, EarlyView.A unified space‐time coding metasurface platform enables simultaneous control of radiated and surface‐confined waves across multiple harmonics. Demonstrated functionalities include multi‐frequency beam shaping; surface‐wave excitation, and hybrid multiplexing.
Zihao Dai +6 more
wiley +1 more source
Cosine Similarity Measure Of Interval Valued Neutrosophic Sets
Neutrosophic Sets and Systems, 2012 In this paper, we define a new cosine similarity between two interval valued neutrosophic sets based on Bhattacharya’s distance [19]. The notions of interval valued neutrosophic sets (IVNS, for short) will be used as vector representations in 3D-vector space.
Said Broumi, Florentin Smarandache
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Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks [PDF]
, 2018 Traditionally, multi-layer neural networks use dot product between the output vector of previous layer and the incoming weight vector as the input to activation function. The result of dot product is unbounded, thus increases the risk of large variance. Large variance of neuron makes the model sensitive to the change of input distribution, thus results
Chunjie Luo +5 more
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Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
A case-based reasoning system for interior design using a new cosine similarity retrieval algorithm
Journal of Information and Telecommunication, 2020 During concept design stage, a case-based reasoning (CBR) system is good for searching the most suitable interior design drawing case as a preliminary concept drawing design aid to bridge the design requirements gap between the consigner and the designer.
Kuo-Sui Lin
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Advanced Functional Materials, EarlyView.Viscoelasticity‐driven instabilities are harnessed to create tunable, periodic textures in 3D‐printed liquid crystalline polymers. This study illustrates how processing parameters control these spontaneous meso‐scale patterns. These unique structural architectures unlock new possibilities for functional devices, ranging from photonic components to ...
Miaomiao Zou +17 more
wiley +1 more source
Transformer Models for Paraphrase Detection: A Comprehensive Semantic Similarity Study
ComputersSemantic similarity, the task of determining whether two sentences convey the same meaning, is central to applications such as paraphrase detection, semantic search, and question answering.
Dianeliz Ortiz Martes +3 more
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An Opportunistic Network Routing Algorithm Based on Cosine Similarity of Data Packets between Nodes
Algorithms, 2018 The mobility of nodes leads to dynamic changes in topology structure, which makes the traditional routing algorithms of a wireless network difficult to apply to the opportunistic network.
Yucheng Lin +3 more
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