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A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism
Published 2025-01-01“…Remaining useful life (RUL) prediction is a cornerstone of Prognostic and Health Management (PHM) for power machinery, playing a crucial role in ensuring the reliability and safety of these critical systems. In recent years, deep learning techniques have shown great promise in RUL prediction, providing more reliable and accurate outcomes. …”
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Enhanced streamflow forecasting using hybrid modelling integrating glacio-hydrological outputs, deep learning and wavelet transformation
Published 2025-01-01Subjects: Get full text
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645
A Novel Ensemble Meta-Model for Enhanced Retinal Blood Vessel Segmentation Using Deep Learning Architectures
Published 2025-01-01Subjects: “…deep learning…”
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Hybrid dung beetle optimization based dimensionality reduction with deep learning based cybersecurity solution on IoT environment
Published 2025-01-01Subjects: Get full text
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FundusNet: A Deep-Learning Approach for Fast Diagnosis of Neurodegenerative and Eye Diseases Using Fundus Images
Published 2025-01-01“…In this study, we present FundusNet, a deep-learning model trained on fundus images, for rapid and cost-effective diagnosis of neurodegenerative diseases. …”
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Fluorescence Lifetime Endoscopy with a Nanosecond Time-Gated CAPS Camera with IRF-Free Deep Learning Method
Published 2025-01-01“…In this work, the capabilities of an endoscopic lifetime imaging system are demonstrated using a rigid endoscope involving various phantoms and an IRF-free deep learning-based method with only 6-time points. The results show that this application’s fluorescence lifetime image has better lifetime uniformity and precision with 6-time points than the conventional methods.…”
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An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain
Published 2019-01-01“…For this purpose, historical data can be analyzed to improve demand forecasting by using various methods like machine learning techniques, time series analysis, and deep learning models. In this work, an intelligent demand forecasting system is developed. …”
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A Deep-Learning-Inspired Person-Job Matching Model Based on Sentence Vectors and Subject-Term Graphs
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Fundus camera-based precision monitoring of blood vitamin A level for Wagyu cattle using deep learning
Published 2025-02-01Subjects: Get full text
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A Metaheuristic Approach to Detecting and Mitigating DDoS Attacks in Blockchain-Integrated Deep Learning Models for IoT Applications
Published 2024-01-01Subjects: Get full text
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Mapping global annual urban land cover fractions (2001–2020) derived with multi-objective deep learning
Published 2025-02-01“…Accordingly, this study proposes a novel deep learning unmixing algorithm, Normalized Non-negative Multi-objective Residual T-ConvLSTM (NNMRT) model, with strong encoding and recognition capacities for extracting GAULCF. …”
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A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies
Published 2025-01-01“…We developed a deep learning feed-forward network for estimating elliptic flow (v2) coefficients in heavy-ion collisions from RHIC to LHC energies. …”
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Annotation-free deep learning for predicting gene mutations from whole slide images of acute myeloid leukemia
Published 2025-02-01“…Abstract The rapid development of deep learning has revolutionized medical image processing, including analyzing whole slide images (WSIs). …”
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