AIMC Topic: Deep Learning

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Recognition of common shortwave protocols and their subcarrier modulations based on multi-scale convolutional GRU.

PloS one
Shortwave communication plays a vital role in disaster relief and remote communications due to its long-range capabilities and resilience to interference. However, challenges such as multipath propagation, frequency-selective fading, and low signal-t...

Rapid counting of Kazachstania humilis and Saccharomyces cerevisiae in sourdough by deep learning-based classifier.

Journal of microbiological methods
When maintaining sourdough through backslopping, bakers must ensure that the yeast mycobiota remains stable. By introducing two-staged incubation temperatures for cultivation, we found that the colonies of Kazachstania humilis and Saccharomyces cerev...

Multimodal deep learning for predicting neoadjuvant treatment outcomes in breast cancer: a systematic review.

Biology direct
BACKGROUND: Pathological complete response (pCR) to neoadjuvant systemic therapy (NAST) is an established prognostic marker in breast cancer (BC). Multimodal deep learning (DL), integrating diverse data sources (radiology, pathology, omics, clinical)...

Realistic fundus photograph generation for improving automated disease classification.

The British journal of ophthalmology
AIMS: This study aims to investigate whether denoising diffusion probabilistic models (DDPMs) could generate realistic retinal images, and if they could be used to improve the performance of a deep convolutional neural network (CNN) ensemble for mult...

High-precision deformation monitoring and intelligent early warning for wellbore based on BDS/GNSS.

PloS one
To address the complex deformation of wellbores influenced by surrounding coal mining operations, this study employed an improved modified least-squares ambiguity decorrelation (MLAMBDA) algorithm based on the double-difference model for high-frequen...

Shapley value-driven multi-modal deep reinforcement learning for complex decision-making.

Neural networks : the official journal of the International Neural Network Society
Deep Reinforcement Learning (DRL) has made significant strides in addressing various sequential decision-making problems, particularly in domains such as game simulations and robotic control. However, substantial challenges arise when DRL is applied ...

Enhancing rare disease detection with deep phenotyping from EHR narratives: evaluation on Jeune syndrome.

International journal of medical informatics
BACKGROUND: Patients with rare diseases frequently experience misdiagnoses and long diagnostic delays. Accelerating their diagnosis is essential to ensure timely access to appropriate care. Given the increasing availability of EHRs, combining artific...

SmartAlert: Machine learning-based patient-ventilator asynchrony detection system in intensive care units.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Patient-ventilator asynchronies (PVA) are associated with ventilator-induced lung injury and increased mortality. Current detection methods rely on static thresholds, extensive preprocessing, or proprietary ventilator data. ...

A multimodal skin lesion classification through cross-attention fusion and collaborative edge computing.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Skin cancer is a significant global health concern requiring early and accurate diagnosis to improve patient outcomes. While deep learning-based computer-aided diagnosis (CAD) systems have emerged as effective diagnostic support tools, they often fac...

Medical application of deep-learning-based head pose estimation from RGB image sequence.

Computers in biology and medicine
Recently, telemedicine has allowed doctor-to-patient or doctor-to-doctor consultations to tackle traditional problems: the COVID-19 pandemic, remote areas, long-time usage per visit, and dependence on family members in transportation. Nevertheless, f...