AIMC Topic: Algorithms

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Multi-level feature interaction image super-resolution network based on convolutional nonlinear spiking neural model.

Neural networks : the official journal of the International Neural Network Society May 6, 2024
Image super-resolution (ISR) is designed to recover lost detail information from low-resolution images, resulting in high-quality and high-definition high-resolution images. In the existing single ISR (SISR) methods based on convolutional neural netw...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Neurons Nonlinear Dynamics Models, Neurological Action Potentials
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A Multi-view Molecular Pre-training with Generative Contrastive Learning.

Interdisciplinary sciences, computational life sciences May 6, 2024
Molecular representation learning can preserve meaningful molecular structures as embedding vectors, which is a necessary prerequisite for molecular property prediction. Yet, learning how to accurately represent molecules remains challenging. Previou...
Models, Molecular Machine Learning Algorithms
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Classification of exercise fatigue levels by multi-class SVM from ECG and HRV.

Medical & biological engineering & computing May 6, 2024
Among the various physiological signals, electrocardiogram (ECG) is a valid criterion for the classification of various exercise fatigue. In this study, we combine features extracted by deep neural networks with linear features from ECG and heart rat...
Algorithms Adult Male Signal Processing, Computer-Assisted Exercise Humans Heart Rate Electrocardiography Neural Networks, Computer Fatigue Support Vector Machine
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Multi-scale relational graph convolutional network for multiple instance learning in histopathology images.

Medical image analysis May 6, 2024
Graph convolutional neural networks have shown significant potential in natural and histopathology images. However, their use has only been studied in a single magnification or multi-magnification with either homogeneous graphs or only different node...
Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Machine Learning Prostatic Neoplasms Humans Algorithms Neural Networks, Computer Male
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Neural critic learning with accelerated value iteration for nonlinear model predictive control.

Neural networks : the official journal of the International Neural Network Society May 6, 2024
In practical industrial processes, the receding optimization solution of nonlinear model predictive control (NMPC) is always a very knotty problem. Based on adaptive dynamic programming, the accelerated value iteration predictive control (AVI-PC) alg...
Nonlinear Dynamics Machine Learning Algorithms Computer Simulation Humans Neural Networks, Computer
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Validation of a natural language processing algorithm using national reporting data to improve identification of anesthesia-related ADVerse evENTs: The "ADVENTURE" study.

Anaesthesia, critical care & pain medicine May 6, 2024
BACKGROUND: Reporting and analysis of adverse events (AE) is associated with improved health system learning, quality outcomes, and patient safety. Manual text analysis is time-consuming, costly, and prone to human errors. We aimed to demonstrate the...
Quality Improvement Anesthesia France Medication Errors Adverse Drug Reaction Reporting Systems Algorithms Patient Safety Natural Language Processing Artificial Intelligence Machine Learning Humans
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Stain-Free Approach to Determine and Monitor Cell Heath Using Supervised and Unsupervised Image-Based Deep Learning.

Journal of pharmaceutical sciences May 6, 2024
Cell-based medicinal products (CBMPs) are a growing class of therapeutics that promise new treatments for complex and rare diseases. Given the inherent complexity of the whole human cells comprising CBMPs, there is a need for robust and fast analytic...
Humans Algorithms Unsupervised Machine Learning Flow Cytometry Supervised Machine Learning Deep Learning Image Processing, Computer-Assisted Cell Survival Quality Control Jurkat Cells
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Error detection for radiotherapy planning validation based on deep learning networks.

Journal of applied clinical medical physics May 6, 2024
BACKGROUND: Quality assurance (QA) of patient-specific treatment plans for intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT) necessitates prior validation. However, the standard methodology exhibits deficiencies...
Deep Learning Organs at Risk Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Algorithms Neoplasms
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Machine learning model for prediction of permanent stoma after anterior resection of rectal cancer: A multicenter study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology May 6, 2024
BACKGROUND: The conversion from a temporary to a permanent stoma (PS) following rectal cancer surgery significantly impacts the quality of life of patients. However, there is currently a lack of practical preoperative tools to predict PS formation. T...
Female Humans Algorithms Middle Aged Machine Learning Rectal Neoplasms Retrospective Studies Quality of Life Aged Support Vector Machine Surgical Stomas Male Proctectomy
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Data-driven, explainable machine learning model for predicting volatile organic compounds' standard vaporization enthalpy.

Chemosphere May 6, 2024
The accurate prediction of standard vaporization enthalpy (ΔH°) for volatile organic compounds (VOCs) is of paramount importance in environmental chemistry, industrial applications and regulatory compliance. To overcome traditional experimental metho...
Algorithms Models, Chemical Volatile Organic Compounds Thermodynamics Volatilization Machine Learning
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