AIMC Topic: Time

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Enhancing compound confidence in suspect and non-target screening through machine learning-based retention time prediction.

Environmental pollution (Barking, Essex : 1987) Mar 14, 2024
The retention time (RT) of contaminants of emerging concern (CECs) in liquid chromatography-high-resolution mass spectrometry (LC-HRMS) is crucial for database matching in non-targeted screening (NTS) analysis. In this study, we developed a machine l...
Neural Networks, Computer Machine Learning Time
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Interactive segmentation of medical images using deep learning.

Physics in medicine and biology Feb 5, 2024
Medical image segmentation algorithms based on deep learning have achieved good segmentation results in recent years, but they require a large amount of labeled data. When performing pixel-level labeling on medical images, labeling a target requires ...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Time Myoma
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Full robotic cholecystectomy: first worldwide experiences with HUGO RAS surgical platform.

ANZ journal of surgery Nov 20, 2023
BACKGROUND: The Hugo RAS™ system (Medtronic, Minneapolis, MN, USA), approved for gynaecological and urological procedures, has been recently certified for the use in few general surgeries. Only bariatric and colorectal procedures have been described ...
Humans Operative Time Robotics Robotic Surgical Procedures Time Cholecystectomy
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Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: A system mode and time scheduler dual-dependent design.

Neural networks : the official journal of the International Neural Network Society Nov 9, 2023
This paper is concerned with non-fragile output-feedback control for time-delay neural networks with persistent dwell time (PDT) switching in a continuous-time setting. The main purpose is to design an output-feedback controller subject to gain fluct...
Neural Networks, Computer Algorithms Computer Simulation Feedback Time
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A survey on few-shot class-incremental learning.

Neural networks : the official journal of the International Neural Network Society Oct 31, 2023
Large deep learning models are impressive, but they struggle when real-time data is not available. Few-shot class-incremental learning (FSCIL) poses a significant challenge for deep neural networks to learn new tasks from just a few labeled samples w...
Neural Networks, Computer Machine Learning Surveys and Questionnaires Time
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Adaptive control-based synchronization of discrete-time fractional-order fuzzy neural networks with time-varying delays.

Neural networks : the official journal of the International Neural Network Society Sep 19, 2023
This paper is concerned with complete synchronization for discrete-time fractional-order fuzzy neural networks (DFFNNs) with time-varying delays. First, three original equalities and two Caputo σ-difference inequalities are established based on theor...
Neural Networks, Computer Algorithms Communication Time
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Quantifying disorder one atom at a time using an interpretable graph neural network paradigm.

Nature communications Jul 7, 2023
Quantifying the level of atomic disorder within materials is critical to understanding how evolving local structural environments dictate performance and durability. Here, we leverage graph neural networks to define a physically interpretable metric ...
Neural Networks, Computer Aluminum Time
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Robust Stabilization of Linear Time-Delay Systems under Denial-of-Service Attacks.

Sensors (Basel, Switzerland) Jun 21, 2023
This research examines new methods for stabilizing linear time-delay systems that are subject to denial-of-service (DoS) attacks. The study takes into account the different effects that a DoS attack can have on the system, specifically delay-independ...
Neural Networks, Computer Computer Simulation Feedback Time
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An octonion-based nonlinear echo state network for speech emotion recognition in Metaverse.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2023
While the Metaverse is becoming a popular trend and drawing much attention from academia, society, and businesses, processing cores used in its infrastructures need to be improved, particularly in terms of signal processing and pattern recognition. A...
Humans Neural Networks, Computer Machine Learning Speech Emotions Time
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NRN-EZ: an application to streamline biophysical modeling of synaptic integration using NEURON.

Scientific reports Jan 10, 2023
One of the fundamental goals in neuroscience is to determine how the brain processes information and ultimately controls the execution of complex behaviors. Over the past four decades, there has been a steady growth in our knowledge of the morphologi...
Neural Networks, Computer Models, Neurological Neurons Synapses Time Ion Channels
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