Results 191 to 200 of about 7,274 (228)

Statistical learning of stochastic complex systems via the Yau-Yau nonlinear filter. [PDF]

Innovation (Camb)
Xu S, Wang Y, Wu S, Wang Y, Dong A, Shing-Toung Yau S, Yau ST, Wu R.   +7 more
europepmc   +1 more source

Deep learning-radiomics assessment of intervertebral disc and paraspinal muscle heterogeneity for predicting postoperative recurrent lumbar disc herniation. [PDF]

Front Artif Intell
Zhang G, Zhu Z, Zheng H, Chang X, Zeng F, Cui J, Tang M, Yin S.   +7 more
europepmc   +1 more source

Explainable Lightweight Model Using Low-Rank and Convolutional Block Attention for Pancreatic Cancer Diagnosis. [PDF]

Int J Med Robot
Tanwar V, Sharma B, Yadav DP, Liatsis P.
europepmc   +1 more source

Blockchain and federated Q-learning-based secure, fault tolerant, and energy efficient framework for ad hoc networks. [PDF]

PLoS One
Tandon R, Gupta PK, Cheng X.
europepmc   +1 more source

K-Partitioning of Signed or Weighted Bipartite Graphs

2013 International Conference on Social Computing, 2013
In this work, K-partitioning of signed or weighted bipartite graph problem has been introduced, which appears as a real life problem where the partitions of bipartite graph represent two different entities and the edges between the nodes of the partitions represent the relationships among them. A typical example is the set of people and their opinions,
Ismail Hakki Toroslu, Hasan Davulcu
exaly   +3 more sources

Lag-Bipartite Formation Tracking of Networked Robotic Systems Over Directed Matrix-Weighted Signed Graphs

IEEE Transactions on Cybernetics, 2022
This article studies the lag-bipartite formation tracking (LBFT) problem of the networked robotic systems (NRSs) with directed matrix-weighted signed graphs. Unlike the traditional formation tracking problems with only cooperative interactions, solving the LBFT problem implies that: 1) the robots of the NRS are divided into two complementary subgroups ...
Teng-Fei Ding, Ming-Feng Ge, Zhi-Wei Liu   +2 more
exaly   +5 more sources

Secure IoT Using Weighted Signed Graphs

, 2017
Key management has always remained a challenging problem for the entire security community. Standard practice in modern times is to agree on symmetric keys using public key protocols. However, public key protocols use heavy computations; rendering them inappropriate for application to low cost devices of Internet of Things (IoT).
Pinaki Sarkar, Morshed Uddin Chowdhury
core   +3 more sources

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Clustering method based on the elastic energy functional of directed signed weighted graphs

Physica A: Statistical Mechanics and Its Applications, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alexander Tselykh, Vladislav Vasilev, Larisa Tselykh   +2 more
exaly   +2 more sources