AIMC Topic: Algorithms
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EchoMamba: A new Mamba model for fast and efficient hyperspectral image classification.
PloS one
Aug 21, 2025
The classification of hyperspectral images (HSI) is an important foundation in the field of remote sensing. Mamba architectures based on state space model (SSM) have shown great potential in the field of HSI processing due to their powerful long-rang...
Minimizing and quantifying uncertainty in AI-informed decisions: Applications in medicine.
Proceedings of the National Academy of Sciences of the United States of America
Aug 20, 2025
AI is now a cornerstone of modern dataset analysis. In many real world applications, practitioners are concerned with controlling specific kinds of errors, rather than minimizing the overall number of errors. For example, biomedical screening assays ...
Efficiently quantifying dependence in massive scientific datasets using InterDependence Scores.
Proceedings of the National Academy of Sciences of the United States of America
Aug 20, 2025
Large-scale scientific datasets today contain tens of thousands of random variables across millions of samples (for example, the RNA expression levels of 20,000 protein-coding genes across 30 million single cells). Being able to quantify dependencies...
Hypersensitive pressure sensors inspired by scorpion mechanosensory mechanisms for near-body flow detection in intelligent robots.
Science advances
Aug 20, 2025
Sensitivity enhancement for pressure sensors over a broad linear range can improve sensing performance for a wide range of applications such as health monitoring and artificial intelligence. Here, inspired by the high-precision mechanosensory mechani...
An effective flowchart for multimodal brain tumor binary classification with ranked 3D texture features.
Scientific reports
Aug 20, 2025
Brain tumors have complex structures, and their shape, density, and size can vary widely. Consequently, their accurate classification, which involves identifying features that best describe the tumor data, is challenging. Using classical 2D texture f...
A study on the effectiveness of machine learning models for hepatitis prediction.
Scientific reports
Aug 20, 2025
Hepatitis continues to be a major global health challenge, leading to high morbidity and mortality rates. Despite advances in diagnosis and treatment, early prediction of hepatitis outcomes remains an essential area for improvement. This study seeks ...
Accurate modeling and simulation of the effect of bacterial growth on the pH of culture media using artificial intelligence approaches.
Scientific reports
Aug 20, 2025
This research investigates the impact of bacterial growth on the pH of culture media, emphasizing its significance in microbiological and biotechnological applications. A range of sophisticated artificial intelligence methods, including One-Dimension...
Machine learning model for early diagnosis of breast cancer based on PiRNA expression with CA153.
Scientific reports
Aug 20, 2025
PIWI-interacting RNAs (piRNAs) have been implicated in the biological processes of various cancers. This study aimed to investigate the diagnostic potential of circulating piRNAs in breast cancer (BC) using machine learning (ML) frameworks. A serum t...
A comprehensive deep learning approach to improve enchondroma detection on X-ray images.
Scientific reports
Aug 20, 2025
An enchondroma is a benign neoplasm of mature hyaline cartilage that proliferates from the medullary cavity toward the cortical bone. This results in the formation of a significant endogenous mass within the medullary cavity. Although enchondromas ar...
Enhancing classification of a large lower-limb motor imagery EEG dataset for BCI in knee pain patients.
Scientific data
Aug 20, 2025
Chronic knee osteoarthritis pain significantly impacts patients' quality of life and motor function. While motor imagery (MI)-based brain-computer interface (BCI) systems have shown promise in rehabilitation, their application to lower-limb condition...
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