AIMC Topic: Algorithms

Clear Filters Showing 3271 to 3280 of 28713 articles

KL-DNAS: Knowledge Distillation-Based Latency Aware-Differentiable Architecture Search for Video Motion Magnification.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Video motion magnification is the task of making subtle minute motions visible. Many times subtle motion occurs while being invisible to the naked eye, e.g., slight deformations in muscles of an athlete, small vibrations in the objects, microexpressi...
Video Recording Algorithms Motion Humans Neural Networks, Computer
View on PubMed DOI

Reconstruction of Adaptive Leaky Integrate-and-Fire Neuron to Enhance the Spiking Neural Networks Performance by Establishing Complex Dynamics.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Since digital spiking signals can carry rich information and propagate with low computational consumption, spiking neural networks (SNNs) have received great attention from neuroscientists and are regarded as the future development object of neural n...
Humans Neurons Neural Networks, Computer Models, Neurological Synapses Computer Simulation Algorithms Action Potentials Animals
View on PubMed DOI

CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition.

IEEE transactions on neural networks and learning systems Feb 6, 2025
This article proposes a semi-supervised contrastive capsule transformer method with feature-based knowledge distillation (KD) that simplifies the existing semisupervised learning (SSL) techniques for wearable human activity recognition (HAR), called ...
Pattern Recognition, Automated Human Activities Unsupervised Machine Learning Supervised Machine Learning Algorithms Wearable Electronic Devices Humans Neural Networks, Computer
View on PubMed DOI

Tuned Compositional Feature Replays for Efficient Stream Learning.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Our brains extract durable, generalizable knowledge from transient experiences of the world. Artificial neural networks come nowhere close to this ability. When tasked with learning to classify objects by training on nonrepeating video frames in temp...
Memory Algorithms Learning Humans Neural Networks, Computer
View on PubMed DOI

Hypernetwork-Based Physics-Driven Personalized Federated Learning for CT Imaging.

IEEE transactions on neural networks and learning systems Feb 6, 2025
In clinical practice, computed tomography (CT) is an important noninvasive inspection technology to provide patients' anatomical information. However, its potential radiation risk is an unavoidable problem that raises people's concerns. Recently, dee...
Humans Tomography, X-Ray Computed Deep Learning Neural Networks, Computer Algorithms Federated Learning Image Processing, Computer-Assisted Physics
View on PubMed DOI

Explainable Classification of Benign-Malignant Pulmonary Nodules With Neural Networks and Information Bottleneck.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Computerized tomography (CT) is a clinically primary technique to differentiate benign-malignant pulmonary nodules for lung cancer diagnosis. Early classification of pulmonary nodules is essential to slow down the degenerative process and reduce mort...
Lung Neoplasms Solitary Pulmonary Nodule Neural Networks, Computer Algorithms Humans Databases, Factual Tomography, X-Ray Computed
View on PubMed DOI

Community Graph Convolution Neural Network for Alzheimer's Disease Classification and Pathogenetic Factors Identification.

IEEE transactions on neural networks and learning systems Feb 6, 2025
As a complex neural network system, the brain regions and genes collaborate to effectively store and transmit information. We abstract the collaboration correlations as the brain region gene community network (BG-CN) and present a new deep learning a...
Humans Neural Networks, Computer Deep Learning Alzheimer Disease Neuroimaging Algorithms Brain
View on PubMed DOI

Future prospective of AI in drug discovery.

Advances in pharmacology (San Diego, Calif.) Feb 6, 2025
Drug discovery and development is very expensive and long with an inferior success rate. It is quite inefficient and costly due to huge R&D costs and lower productivity in pharmaceutical industries, to discover effective drugs and their development. ...
Drug Discovery Drug Development Humans Algorithms Artificial Intelligence Animals
View on PubMed DOI

A hybrid approach for intrusion detection in vehicular networks using feature selection and dimensionality reduction with optimized deep learning.

PloS one Feb 6, 2025
Autonomous transportation systems have the potential to greatly impact the way we travel. A vital aspect of these systems is their connectivity, facilitated by intelligent transport applications. However, the safety ensured by the vehicular network c...
Dimensionality Reduction Deep Learning Principal Component Analysis Humans Algorithms
View on PubMed DOI

LazyAct: Lazy actor with dynamic state skip based on constrained MDP.

PloS one Feb 6, 2025
Deep reinforcement learning has achieved significant success in complex decision-making tasks. However, the high computational cost of policies based on deep neural networks restricts their practical application. Specifically, each decision made by a...
Humans Deep Learning Decision Making Neural Networks, Computer Algorithms
View on PubMed DOI
Popular Topics
Recent Journals