Results 221 to 230 of about 209,835 (241)
Advanced Photonics Research, EarlyView.This review highlights recent advances in accelerating luminescence in nanostructures through cooperative emission, resonator coupling, and nonlocal light–matter interactions. By unifying concepts such as excitonic superradiance, superfluorescence, and the plasmonic Purcell effect, it reveals physical limits of ultrafast emission and their potential ...
Masaaki Ashida +3 more
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Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications
Advanced Robotics Research, EarlyView.This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
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Advanced Robotics Research, EarlyView.Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang +4 more
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Corpus Linguistics, Network Analysis and Co-occurrence Matrices
, 2009 Stuart, Keith, Botella, Ana
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CoNet: Co-occurrence neural networks for recommendation
Future Generation Computer Systems, 2021Abstract Assuming that both users and items are independent and identically distributed, most existing methods model user–item pairs, while ignoring the relationship between items, leading to limited performance. To solve this problem, we propose a novel neural network, CoNet, which can effectively model the co-occurrence pattern for Collaborative ...
Ming Chen, Yunhao Li, Xiuze Zhou
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2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Convolutional Neural Networks (CNNs) became a very popular tool for image analysis. Convolutions are fast to compute and easy to store, but they also have some limitations. First, they are shift-invariant and, as a result, they do not adapt to different regions of the image.
Irina Shevlev, Shai Avidan
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Convolutional Neural Networks (CNNs) became a very popular tool for image analysis. Convolutions are fast to compute and easy to store, but they also have some limitations. First, they are shift-invariant and, as a result, they do not adapt to different regions of the image.
Irina Shevlev, Shai Avidan
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Term co-occurrence-based corpus network
30th Annual Conference of IEEE Industrial Electronics Society, 2004. IECON 2004, 2005This paper draws the term nodes and their links in corpus network based on term co-occurrence, and resultantly grasps its properties, using the mathematical graphs and the network-related physical measures. The topological processing of singular value decomposition (SVD), which compresses a large amount of co-occurrence information into a much smaller ...
null Jung-Hee Park +3 more
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Proposal of Chance Index in Co‐occurrence Network
Electronics and Communications in Japan, 2015SUMMARYThis paper proposes chance index that estimates whether a node is chance in a co‐occurrence network. Recently, chance discovery researches are attractive for several domains. By using chance discovery, we can develop new business or predict earthquake. However, there is a problem that chance discovery requires analysts’ inference from visualized
Yukihiro Takayama, Ryosuke Saga
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Material Culture Similarity and Co-occurrence Networks
2023Abstract This chapter discusses critical considerations for the construction, analysis, and interpretation of material culture similarity and co-occurrence networks, particularly considering archaeological data and how such networks can be used to interpret past relational processes. Drawing on four different anthropological case studies,
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Analyzing Co-occurrence Networks of Emojis on Twitter
2021Emojis have become an integral part of digital communication in recent years. They promote the expression of emotions and ideas through visual icons of people, animals, and symbols. Twitter provides a platform for discussion and commentary in real time with a diverse and global audience, making it a good candidate for studying the usage of emoji across
Hasan Alsaif, Phil Roesch, Salem Othman
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