AIMC Topic: Adaptation, Physiological

Clear Filters Showing 11 to 20 of 116 articles

Machine learning: a new era for cardiovascular pregnancy physiology and cardio-obstetrics research.

American journal of physiology. Heart and circulatory physiology Jun 7, 2024
The maternal cardiovascular system undergoes functional and structural adaptations during pregnancy and postpartum to support increased metabolic demands of offspring and placental growth, labor, and delivery, as well as recovery from childbirth. Thu...
Cardiovascular Diseases Humans Obstetrics Machine Learning Female Animals Pregnancy Cardiovascular Physiological Phenomena Pregnancy Complications, Cardiovascular Cardiovascular System Adaptation, Physiological
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The independence of impairments in proprioception and visuomotor adaptation after stroke.

Journal of neuroengineering and rehabilitation May 18, 2024
BACKGROUND: Proprioceptive impairments are common after stroke and are associated with worse motor recovery and poor rehabilitation outcomes. Motor learning may also be an important factor in motor recovery, and some evidence in healthy adults sugges...
Aged Adult Female Robotics Stroke Male Middle Aged Humans Proprioception Adaptation, Physiological Psychomotor Performance Stroke Rehabilitation
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Class-Wise Subspace Alignment-Based Unsupervised Adaptive Land Cover Classification in Scene-Level Using Deep Siamese Network.

IEEE transactions on neural networks and learning systems Jul 6, 2023
In this article, an unsupervised domain adaptation strategy has been investigated using a deep Siamese neural network in scene-level land cover classification using remotely sensed images. At the onset, the soft class label and probability scores of ...
Neural Networks, Computer Algorithms Adaptation, Physiological
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Evolving a Pipeline Approach for Abstract Meaning Representation Parsing Towards Dynamic Neural Networks.

International journal of neural systems Jun 17, 2023
Meaning Representation parsing aims to represent a sentence as a structured, Directed, Acyclic Graph (DAG), in an attempt to extract meaning from text. This paper extends an existing 2-stage pipeline AMR parser with state-of-the-art techniques in dep...
Vocabulary Adaptation, Physiological Language Neural Networks, Computer Software
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PlexusNet: A neural network architectural concept for medical image classification.

Computers in biology and medicine Jan 26, 2023
State-of-the-art (SOTA) convolutional neural network models have been widely adapted in medical imaging and applied to address different clinical problems. However, the complexity and scale of such models may not be justified in medical imaging and s...
Diagnostic Imaging Adaptation, Physiological Neural Networks, Computer Algorithms
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EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks.

Neural networks : the official journal of the International Neural Network Society Nov 4, 2022
In recent years, Deep Learning models have shown a great performance in complex optimization problems. They generally require large training datasets, which is a limitation in most practical cases. Transfer learning allows importing the first layers ...
Neural Networks, Computer Machine Learning Algorithms Neurons Adaptation, Physiological
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Multi-scopic neuro-cognitive adaptation for legged locomotion robots.

Scientific reports Sep 28, 2022
Dynamic locomotion is realized through a simultaneous integration of adaptability and optimality. This article proposes a neuro-cognitive model for a multi-legged locomotion robot that can seamlessly integrate multi-modal sensing, ecological percepti...
Adaptation, Physiological Robotics Locomotion Cognition Computer Simulation
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Return of the normal distribution: Flexible deep continual learning with variational auto-encoders.

Neural networks : the official journal of the International Neural Network Society Jul 21, 2022
Learning continually from sequentially arriving data has been a long standing challenge in machine learning. An emergent body of deep learning literature suggests various solutions, through introduction of significant simplifications to the problem s...
Adaptation, Physiological Machine Learning Bayes Theorem Normal Distribution
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Exact mean-field models for spiking neural networks with adaptation.

Journal of computational neuroscience Jul 14, 2022
Networks of spiking neurons with adaption have been shown to be able to reproduce a wide range of neural activities, including the emergent population bursting and spike synchrony that underpin brain disorders and normal function. Exact mean-field mo...
Neural Networks, Computer Adaptation, Physiological Models, Neurological Action Potentials Neurons
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Molecular archaeology and machine learning: Deep learning algorithms help to uncover ancient genes in our genomes and their evolutionary role: Deep learning algorithms help to uncover ancient genes in our genomes and their evolutionary role.

EMBO reports May 10, 2022
The study of ancient genes in contemporary species is providing new insights about how organisms adapted to new environments during evolution.
Archaeology Deep Learning Algorithms Adaptation, Physiological
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