AIMC Topic: Algorithms

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Fast Task Adaptation Based on the Combination of Model-Based and Gradient-Based Meta Learning.

IEEE transactions on cybernetics
Deep reinforcement learning (DRL) recently has attained remarkable results in various domains, including games, robotics, and recommender system. Nevertheless, an urgent problem in the practical application of DRL is fast adaptation. To this end, thi...

Fixed-Time Synchronization of Complex Dynamical Networks: A Novel and Economical Mechanism.

IEEE transactions on cybernetics
Fixed-time synchronization of complex networks is investigated in this article. First, a completely novel lemma is introduced to prove the fixed-time stability of the equilibrium of a general ordinary differential system, which is less conservative a...

Stabilization of Positive Systems With Time Delay via the Takagi-Sugeno Fuzzy Impulsive Control.

IEEE transactions on cybernetics
In this study, the Takagi-Sugeno (T-S) fuzzy impulsive control problem is investigated for a class of nonlinear positive systems with time delay. The time delay under consideration is both in the continuous-time dynamics and at the impulsive instants...

Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification.

IEEE transactions on cybernetics
Image classification is a fundamental component in modern computer vision systems, where sparse representation-based classification has drawn a lot of attention due to its robustness. However, on the optimization of sparse learning systems, regulariz...

Novel Fixed-Time Stability Criteria for Discontinuous Nonautonomous Systems: Lyapunov Method With Indefinite Derivative.

IEEE transactions on cybernetics
This article considers a general class of nonautonomous discontinuous ordinary differential equations (ODE). By constructing the Filippov multimap, the fixed-time stability (FTS) problem of discontinuous ODE is transformed into that of differential i...

Global Stability of Bidirectional Associative Memory Neural Networks With Multiple Time-Varying Delays.

IEEE transactions on cybernetics
This article investigates the global stability of bidirectional associative memory neural networks with discrete and distributed time-varying delays (DBAMNNs). By employing the comparison strategy and inequality techniques, global asymptotic stabilit...

Perception Exploration on Robustness Syndromes With Pre-processing Entities Using Machine Learning Algorithm.

Frontiers in public health
The majority of the current-generation individuals all around the world are dealing with a variety of health-related issues. The most common cause of health problems has been found as depression, which is caused by intellectual difficulties. However,...

Cephalometric Analysis in Orthodontics Using Artificial Intelligence-A Comprehensive Review.

BioMed research international
Artificial intelligence (AI) is a branch of science concerned with developing programs and computers that can gather data, reason about it, and then translate it into intelligent actions. AI is a broad area that includes reasoning, typical linguistic...

An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images.

BioMed research international
Cerebellum measures taken from routinely obtained ultrasound (US) images have been frequently employed to determine gestational age and identify developing central nervous system's anatomical abnormalities. Standardized cerebellar assessments from la...

Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities.

Computational and mathematical methods in medicine
Image reconstruction in magnetic resonance imaging (MRI) and computed tomography (CT) is a mathematical process that generates images at many different angles around the patient. Image reconstruction has a fundamental impact on image quality. In rece...