AIMC Topic: Deep Learning

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Learning from small datasets-review of workshop 6 of the 10th International BCI Meeting 2023.

Journal of neural engineering Jun 24, 2025
In a brain-computer interface (BCI), a primary objective is to reduce calibration time by recording as few as possible novel data points to (re-)train decoder models.Minimizing the calibration can be crucial for enhancing the usability of a BCI appli...
Congresses as Topic Education Datasets as Topic Brain-Computer Interfaces Humans Deep Learning Machine Learning Electroencephalography
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Deep learning classification of drug-related problems from pharmaceutical interventions issued by hospital clinical pharmacists during medication prescription review: a large-scale descriptive retrospective study in a French university hospital.

European journal of hospital pharmacy : science and practice Jun 24, 2025
OBJECTIVES: Pharmaceutical interventions are proposals made by hospital clinical pharmacists to address sub-optimal uses of medications during prescription review. Pharmaceutical interventions include the identification of drug-related problems, thei...
Humans Aged Aged, 80 and over Young Adult Retrospective Studies Female Hospitals, University Drug-Related Side Effects and Adverse Reactions Drug Prescriptions Middle Aged Pharmacy Service, Hospital Pharmacists Deep Learning France Adult Adolescent Male
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An integrated IKOA-CNN-BiGRU-Attention framework with SHAP explainability for high-precision debris flow hazard prediction in the Nujiang river basin, China.

PloS one Jun 24, 2025
Debris flows represent a persistent challenge for disaster prediction in mountainous regions due to their highly nonlinear and multivariate triggering mechanisms. This study proposes an explainable deep learning framework, the Improved Kepler Optimiz...
Environmental Monitoring Rivers Deep Learning Neural Networks, Computer China Algorithms
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A flow pattern recognition method for gas-liquid two-phase flow based on dilated convolutional channel attention mechanism.

PloS one Jun 24, 2025
Addressing the issue of insufficient key feature extraction leading to low recognition rates in existing deep learning-based flow pattern identification methods, this paper proposes a novel flow pattern image recognition model, Enhanced DenseNet with...
Algorithms Gases Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Pattern Recognition, Automated
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Systematic review of generative adversarial networks (GANs) in cell microscopy: Trends, practices, and impact on image augmentation.

PloS one Jun 24, 2025
Cell microscopy is the main tool that allows researchers to study microorganisms and plays a key role in observing and understanding the morphology, interactions, and development of microorganisms. However, there exist limitations in both the techniq...
Humans Microscopy Neural Networks, Computer Generative Adversarial Networks Deep Learning Image Processing, Computer-Assisted
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Recognition of common shortwave protocols and their subcarrier modulations based on multi-scale convolutional GRU.

PloS one Jun 24, 2025
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...
Signal Processing, Computer-Assisted Signal-To-Noise Ratio Algorithms Deep Learning Humans
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Rapid counting of Kazachstania humilis and Saccharomyces cerevisiae in sourdough by deep learning-based classifier.

Journal of microbiological methods Jun 23, 2025
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...
Deep Learning Food Microbiology Wine Temperature Bread Saccharomyces cerevisiae Saccharomycetales Colony Count, Microbial Fermentation
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Multimodal deep learning for predicting neoadjuvant treatment outcomes in breast cancer: a systematic review.

Biology direct Jun 23, 2025
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)...
Humans Prognosis Breast Neoplasms Deep Learning Female Treatment Outcome Neoadjuvant Therapy
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Realistic fundus photograph generation for improving automated disease classification.

The British journal of ophthalmology Jun 23, 2025
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...
Retinal Diseases Photography Fundus Oculi Macular Degeneration Humans Diabetic Retinopathy Deep Learning ROC Curve Neural Networks, Computer
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High-precision deformation monitoring and intelligent early warning for wellbore based on BDS/GNSS.

PloS one Jun 23, 2025
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...
Coal Mining Algorithms Geographic Information Systems Deep Learning
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