AIMC Topic: Deep Learning

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Broadscale reconnaissance of coral reefs from citizen science and deep learning.

Environmental monitoring and assessment Jun 27, 2025
Coral reef managers require various forms of data. While monitoring is typically the preserve of scientists, there is an increasing need to collect larger scale, up-to-date data to prioritise limited conservation resources. Citizen science combined w...
Anthozoa Citizen Science Animals Deep Learning Environmental Monitoring Conservation of Natural Resources Coral Reefs
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Decomposition-reconstruction-optimization framework for hog price forecasting: Integrating STL, PCA, and BWO-optimized BiLSTM.

PloS one Jun 27, 2025
This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price serie...
Commerce Forecasting Deep Learning Animals Models, Economic Swine
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Predicting brain metastases in EGFR-positive lung adenocarcinoma patients using pre-treatment CT lung imaging data.

European journal of radiology Jun 26, 2025
OBJECTIVES: This study aims to establish a dual-feature fusion model integrating radiomic features with deep learning features, utilizing single-modality pre-treatment lung CT image data to achieve early warning of brain metastasis (BM) risk within 2...
ErbB Receptors Adenocarcinoma of Lung Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Female Aged Brain Neoplasms Male Middle Aged Deep Learning Humans Tomography, X-Ray Computed
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Deep transfer learning radiomics combined with explainable machine learning for preoperative thymoma risk prediction based on CT.

European journal of radiology Jun 26, 2025
OBJECTIVE: To develop and validate a computerized tomography (CT)‑based deep transfer learning radiomics model combined with explainable machine learning for preoperative risk prediction of thymoma.
Humans Female Aged Adult Machine Learning Retrospective Studies Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Thymoma Thymus Neoplasms Radiomics Middle Aged Male Risk Assessment Deep Learning
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Design and optimization of an automatic deep learning-based cerebral reperfusion scoring (TICI) using thrombus localization.

Journal of neuroradiology = Journal de neuroradiologie Jun 26, 2025
BACKGROUND: The Thrombolysis in Cerebral Infarction (TICI) scale is widely used to assess angiographic outcomes of mechanical thrombectomy despite significant variability. Our objective was to create and optimize an artificial intelligence (AI)-based...
Sensitivity and Specificity Male Middle Aged Angiography, Digital Subtraction Female Thrombectomy Aged Cerebral Angiography Deep Learning Thrombosis Cerebral Infarction Humans Neural Networks, Computer Algorithms
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Attention-based hybrid deep learning model with CSFOA optimization and G-TverskyUNet3+ for Arabic sign language recognition.

Scientific reports Jun 26, 2025
Arabic sign language (ArSL) is a visual-manual language which facilitates communication among Deaf people in the Arabic-speaking nations. Recognizing the ArSL is crucial due to variety of reasons, including its impact on the Deaf populace, education,...
Attention Sign Language Humans Algorithms Deep Learning
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A novel dual-branch network for comprehensive spatiotemporal information integration for EEG-based epileptic seizure detection.

PloS one Jun 26, 2025
Epilepsy is a neurological disorder characterized by recurrent seizures caused by abnormal brain activity, which can severely affects people's normal lives. To improve the lives of these patients, it is necessary to develop accurate methods to predic...
Humans Neural Networks, Computer Algorithms Seizures Deep Learning Signal Processing, Computer-Assisted Electroencephalography Epilepsy
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Monitoring temporal changes in large urban street trees using remote sensing and deep learning.

PloS one Jun 26, 2025
In the rapidly changing dynamics of urbanization, urban forests offer numerous benefits to city dwellers. However, the information available on these resources is often outdated or non-existent, leading in part to inequitable access to these benefits...
Trees San Francisco Urbanization Humans Ecosystem Cities Deep Learning Remote Sensing Technology Forests
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Developing a predictive model for anticipating technology convergence: A transformer-based model and supervised learning approach.

PloS one Jun 26, 2025
This study proposes a novel approach to anticipating technology convergence in the bio-healthcare sector by integrating text mining based on transformer models and supervised learning methodologies. The overarching goal is to develop a robust method ...
Humans Deep Learning Models, Theoretical Supervised Machine Learning Data Mining
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A multi-domain collaborative denoising bearing fault diagnosis model based on dynamic inter-domain attention mechanism and noise-aware loss function.

PloS one Jun 26, 2025
Rolling bearings are the core transmission components of large-scale rotating machinery such as wind power gearboxes and aviation engines, so timely and effective monitoring and diagnosis of their status are crucial to ensure the stable operation of ...
Models, Theoretical Noise Signal-To-Noise Ratio Humans Algorithms Deep Learning
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