AIMC Topic: Algorithms

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An efficient rotational direction heap-based optimization with orthogonal structure for medical diagnosis.

Computers in biology and medicine
The heap-based optimizer (HBO) is an optimization method proposed in recent years that may face local stagnation problems and show slow convergence speed due to the lack of detailed analysis of optimal solutions and a comprehensive search. Therefore,...

MLCPP 2.0: An Updated Cell-penetrating Peptides and Their Uptake Efficiency Predictor.

Journal of molecular biology
Cell-penetrating peptides (CPPs) translocate into the cell as various biologically active conjugates and possess numerous biomedical applications. Several machine learning-based predictors have been proposed in the past, but they mostly focus on iden...

Labeling Noncontrast Head CT Reports for Common Findings Using Natural Language Processing.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Prioritizing reading of noncontrast head CT examinations through an automated triage system may improve time to care for patients with acute neuroradiologic findings. We present a natural language-processing approach for label...

Machine Learning for Detection of Muscular Activity from Surface EMG Signals.

Sensors (Basel, Switzerland)
BACKGROUND: Muscular-activity timing is useful information that is extractable from surface EMG signals (sEMG). However, a reference method is not available yet. The aim of this study is to investigate the reliability of a novel machine-learning-base...

Research on the Coordinate Attention Mechanism Fuse in a YOLOv5 Deep Learning Detector for the SAR Ship Detection Task.

Sensors (Basel, Switzerland)
The real-time performance of ship detection is an important index in the marine remote sensing detection task. Due to the computing resources on the satellite being limited by the solar array size and the radiation-resistant electronic components, in...

Cyber Threat Intelligence-Based Malicious URL Detection Model Using Ensemble Learning.

Sensors (Basel, Switzerland)
Web applications have become ubiquitous for many business sectors due to their platform independence and low operation cost. Billions of users are visiting these applications to accomplish their daily tasks. However, many of these applications are ei...

Sleep staging classification based on a new parallel fusion method of multiple sources signals.

Physiological measurement
In the field of medical informatics, sleep staging is a challenging and time consuming task undertaken by sleep experts. The conventional method for sleep staging is to analyze Polysomnograms (PSGs) recorded in a sleep lab, but the sleep monitoring w...

Artificial Intelligence-Based Cyber-Physical System for Severity Classification of Chikungunya Disease.

IEEE journal of translational engineering in health and medicine
BACKGROUND: Artificial intelligence techniques are widely used in solving medical problems. Recently, researchers have used various deep learning techniques for the severity classification of Chikungunya disease. But these techniques suffer from over...

Image Fusion and Stylization Processing Based on Multiscale Transformation and Convolutional Neural Network.

Computational intelligence and neuroscience
With the continuous development of imaging sensors, images contain more and more information, the images presented by different types of sensors are different, and the images obtained by the same type of sensors under different parameters or conditio...

Analysis of Logistics Linkage by Digital Twins Technology and Lightweight Deep Learning.

Computational intelligence and neuroscience
The present work expects to meet the personalized needs of the continuous development of various products and improve the joint operation of the intraenterprise Production and Distribution (P-D) process. Specifically, this paper studies the enterpris...