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Physical-aware model accuracy estimation for protein complex using deep learning method
Published 2025-01-01“…In this work, we propose a physical-aware deep learning method, DeepUMQA-PA, to evaluate the residue-wise quality of protein complex models. …”
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542
Synthetic Computed Tomography generation using deep-learning for female pelvic radiotherapy planning
Published 2025-01-01“…Synthetic Computed Tomography (sCT) is required to provide electron density information for MR-only radiotherapy. Deep-learning (DL) methods for sCT generation show improved dose congruence over other sCT generation methods (e.g. bulk density). …”
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543
Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy
Published 2021-01-01Get full text
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544
Automated Fillet Weld Inspection Based on Deep Learning from 2D Images
Published 2025-01-01“…The object detection method follows a geometric deep learning model based on convolutional neural networks. …”
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545
Innovative Deep Learning Architecture for the Classification of Lung and Colon Cancer From Histopathology Images
Published 2024-01-01“…However, with substantial technological advancements, deep learning (DL) has emerged as a potent tool in clinical settings, particularly in the realm of medical imaging. …”
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546
A Review on Deep Learning for Quality of Life Assessment Through the Use of Wearable Data
Published 2025-01-01Subjects: “…Deep learning…”
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547
A systematic mapping study of source code representation for deep learning in software engineering
Published 2022-08-01“…Abstract The usage of deep learning (DL) approaches for software engineering has attracted much attention, particularly in source code modelling and analysis. …”
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548
Multistage deep learning methods for automating radiographic sharp score prediction in rheumatoid arthritis
Published 2025-01-01“…This study proposes a multistage deep learning model to predict the Overall Sharp Score (OSS) from hand X-ray images. …”
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549
A Hybrid Deep Learning Method for the Estimation of the State of Health of Lithium-Ion Batteries
Published 2025-01-01“…Compared to other complex deep learning (DL) methods, the VIT-GRU significantly outperforms them, according to the RMSE and MAE of the predicted values.…”
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550
Deep Learning Model for Predicting Spreading Rates of Pandemics, “COVID-19 as Case Study”
Published 2024-01-01Subjects: Get full text
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551
Deep Learning Methods for Arabic Autoencoder Speech Recognition System for Electro-Larynx Device
Published 2023-01-01Get full text
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552
Physics-Constrained Deep Learning for Security Ink Colorimetry with Attention-Based Spectral Sensing
Published 2024-12-01Subjects: “…physics-constrained deep learning…”
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553
A Deep Learning-Based Time-Frequency Scheme for Ship Detection Using HFSWR
Published 2025-01-01Subjects: “…Deep learning (DL)…”
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554
Deep Learning-Based Remote Sensing Image Analysis for Wildfire Risk Evaluation and Monitoring
Published 2025-01-01Subjects: Get full text
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555
Auditing the clinical usage of deep-learning based organ-at-risk auto-segmentation in radiotherapy
Published 2025-01-01Subjects: Get full text
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556
Improving Deep Learning Forecasting Model Based on LSTM for Türkiye’s Hydro-Electricity Generation
Published 2024-12-01Subjects: Get full text
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557
Deep Learning in Music Generation: A Comprehensive Investigation of Models, Challenges and Future Directions
Published 2025-01-01“…Deep learning has made a lot of progress in the field of music generation. …”
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558
ELECTRICITY PRICE FORECASTING IN TURKISH DAY-AHEAD MARKET VIA DEEP LEARNING TECHNIQUES
Published 2022-07-01Subjects: Get full text
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559
A deep learning-driven multi-layered steganographic approach for enhanced data security
Published 2025-02-01“…At the same time, the deep learning encoder adds layer of protection by concealing an image within another. …”
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560
Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays
Published 2024-10-01“…Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physicians in the comprehensive detection and localization of abnormalities on chest X-rays. …”
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