AIMC Topic: Algorithms

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Discriminant research on edible oil components by oblique-incidence reflectivity difference.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Edible oil plays an important role in people's diet. Due to economic and nutritional benefits, it is necessary to analyze the components in edible oils, which can ensure consumer rights. In this study, edible oil components were identified by oblique...

An artificial intelligence modeling framework based on microbial community structure prediction enhances the pollutant removal efficiency of the algae-bacteria granular sludge system.

Journal of environmental management
Algae-bacteria granular sludge (ABGS) technology is a new energy-saving and low-carbon water treatment technology based on the algae-bacteria symbiotic system. However, due to its complex internal microbial system, the regulation mechanism of ABGS is...

CLT-MambaSeg: An integrated model of Convolution, Linear Transformer and Multiscale Mamba for medical image segmentation.

Computers in biology and medicine
Recent advances in deep learning have significantly enhanced the performance of medical image segmentation. However, maintaining a balanced integration of feature localization, global context modeling, and computational efficiency remains a critical ...

KC-UNIT: Multi-kernel conversion using unpaired image-to-image translation with perceptual guidance in chest computed tomography imaging.

Computers in biology and medicine
Computed tomography (CT) images are reconstructed from raw datasets including sinogram using various convolution kernels through back projection. Kernels are typically chosen depending on the anatomical structure being imaged and the specific purpose...

Use of X means and C4.5 algorithms on lateral cephalometric measurements to identify craniofacial patterns.

BMC oral health
BACKGROUND: Craniofacial phenotyping is essential for individualized orthodontic diagnosis and treatment planning. Traditional skeletal classifications, such as the ANB angle, may oversimplify complex relationships among malocclusion types. Machine l...

Benchmarking of open-source algorithms for heart rate estimation from motion-corrupted photoplethysmography.

Computers in biology and medicine
Photoplethysmography holds promise for continuous, non-intrusive heart rate monitoring through wearable devices. However, motion artifacts can impact the reliability of heart rate estimates. The integration of accelerometer data has been proven helpf...

SpeLL: An Agent for Natural Language-Driven Intelligent Spectral Modeling.

Journal of chemical information and modeling
Spectrum large language model (SpeLL) was developed to tackle core challenges in near-infrared (NIR) spectral data modeling─the high level of expertise and substantial workload required by researchers for method selection, implementation, and optimiz...

Identifying patterns of high intraoperative blood pressure variability in noncardiac surgery using explainable machine learning: a retrospective cohort study.

Annals of medicine
BACKGROUND: High intraoperative blood pressure variability (HIBPV) is significantly associated with postoperative adverse complications. However, practical tools to characterize perioperative factors associated with HIBPV remain limited. This study a...

Hyperparameter optimization of YOLO models for invasive coronary angiography lesion detection and assessment.

Computers in biology and medicine
Coronary artery disease (CAD) remains the leading cause of mortality, creating an urgent need for reproducible, image-based decision support. Although YOLOv8-based detectors underpin much of today's state-of-the-art stenosis detection, their accuracy...

DEEP Q-NAS: A new algorithm based on neural architecture search and reinforcement learning for brain tumor identification from MRI.

Computers in biology and medicine
A significant obstacle in brain tumor treatment planning is determining the tumor's actual size. Magnetic resonance imaging (MRI) is one of the first-line brain tumor diagnosis. It takes a lot of effort and mostly depends on the operator's experience...