Results 81 to 90 of about 417,841 (308)

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah   +7 more
wiley   +1 more source

Secure distributed signcryption scheme based on vector space

open access: yesTongxin xuebao, 2009
A kind of new distributed signcryption protocol was proposed based on the ideal vector space secret sharing scheme and the modified signcryption scheme of Zheng1.Without the involvement of a trusted key distribution center, this protocol could gain its ...
LIU Jia, ZHUANG Yi, WANG Jian-dong
doaj  

Classification of tumor types using XGBoost machine learning model: a vector space transformation of genomic alterations. [PDF]

open access: yesJ Transl Med, 2023
Zelli V   +8 more
europepmc   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

Menger probabilistic normed space is a category topological vector space [PDF]

open access: yesSahand Communications in Mathematical Analysis, 2016
In this paper, we formalize the Menger probabilistic normed space as a category in which its objects are the Menger probabilistic normed spaces and its morphisms are fuzzy continuous operators.
Ildar Sadeqi, Farnaz Yaqub Azari
doaj  

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva   +4 more
wiley   +1 more source

Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley   +1 more source

Space Vector Design Assisted Channel Modulation

open access: yesIEEE Access
With the design idea of the index modulation (IM), media-based modulation (MBM) has been attracted a lot of attention due to that it not only offers optional transmission channels for physical security but also transmits additional channel index (CI ...
Shuqing Lin, Yanfei Zhu, Zhi Yang
doaj   +1 more source

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