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81
Multimedia Data Processing Technology and Application Based on Deep Learning
Published 2023-01-01“…With deep learning being widely used in various research fields, it is introduced into the research and analysis of multimedia data processing technology and application. …”
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82
Forecasting Geomagnetic Storm Disturbances and Their Uncertainties Using Deep Learning
Published 2023-11-01Subjects: Get full text
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83
Evaluating the method reproducibility of deep learning models in biodiversity research
Published 2025-02-01Subjects: Get full text
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84
Application of Additive Manufacturing and Deep Learning in Exercise State Discrimination
Published 2025-01-01“…To address these challenges, this paper introduces 3D printing and deep learning to design a smart wearable sensing device to detect different states of sports fatigue. …”
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85
An Intelligent Deep Learning Model for CO2 Adsorption Prediction
Published 2022-01-01“…In this paper, we propose a supervised deep learning neural network (D-CNN) approach to predict CO2 adsorption form the textural and compositional features of biomass porous carbon waste and adsorption features. …”
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86
Lighting Spectrum Optimization With Deep Learning for Moss Species Classification
Published 2025-01-01Subjects: Get full text
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87
Cross-Linguistic Similarity Evaluation Techniques Based on Deep Learning
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88
Transforming oral cancer care: The promise of deep learning in diagnosis
Published 2024-06-01Subjects: Get full text
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89
A deep learning based model for diabetic retinopathy grading
Published 2025-01-01Subjects: Get full text
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90
Multivariate Deep Learning Approach for Electric Vehicle Speed Forecasting
Published 2021-03-01Subjects: Get full text
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91
Ensemble Deep Learning Technique for Detecting MRI Brain Tumor
Published 2024-01-01“…In the specifics, our models outperformed every other published modern ensemble model in the official deep learning challenge without any postprocessing. The ensemble model achieved an accuracy of 99.16%, a sensitivity of 98.47%, a specificity of 98.57%, a precision of 98.74%, a recall of 98.49%, and an F1-score of 98.18%. …”
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92
Deep learning driven silicon wafer defect segmentation and classification
Published 2025-06-01Subjects: “…Wafer Defect Segmentation and classification using Deep Learning…”
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93
Unveiling the Complexity of Medical Imaging through Deep Learning Approaches
Published 2023-12-01Subjects: “…deep learning…”
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94
Uncertainty-aware deep learning in healthcare: A scoping review.
Published 2022-01-01“…Mistrust is a major barrier to implementing deep learning in healthcare settings. Entrustment could be earned by conveying model certainty, or the probability that a given model output is accurate, but the use of uncertainty estimation for deep learning entrustment is largely unexplored, and there is no consensus regarding optimal methods for quantifying uncertainty. …”
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95
Performance Prediction for Higher Education Students Using Deep Learning
Published 2021-01-01“…Predicting students’ performance is very important in matters related to higher education as well as with regard to deep learning and its relationship to educational data. …”
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96
Deep Learning for Person Reidentification Using Support Vector Machines
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97
Advancements of Deep Learning Model-Based Rehabilitation Training System
Published 2025-01-01“…Traditional therapies for rehabilitation training in modern society are difficult to track patients dynamically, so this paper introduces a rehabilitation training evaluation system under deep learning modeling to help assess the effectiveness of rehabilitation training. …”
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98
Recent advances in deep learning and language models for studying the microbiome
Published 2025-01-01“…Recent advancements in deep learning, particularly large language models (LLMs), made a significant impact on how researchers study microbiome and metagenomics data. …”
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99
An Experiment on the Use of Genetic Algorithms for Topology Selection in Deep Learning
Published 2019-01-01“…The choice of a good topology for a deep neural network is a complex task, essential for any deep learning project. This task normally demands knowledge from previous experience, as the higher amount of required computational resources makes trial and error approaches prohibitive. …”
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100
An Improved Image Processing Based on Deep Learning Backpropagation Technique
Published 2022-01-01“…Variables of randomness are used as features for the deep learning system, with feedback during iteration. …”
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