Articles with "lightweight deep" as a keyword



Implement Improved Process Design Using a Lightweight Deep Learning Model to Reduce Hardware Computational Load in Instance Segmentation: Using Apple Dataset

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3204276

Abstract: The use of deep learning using image data has already made a lot of progress. The main function is to track or classify related objects with the model of the data set in which the… read more here.

Keywords: using lightweight; learning; deep learning; model ... See more keywords

An Intelligent Driving Assistance System Based on Lightweight Deep Learning Models

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3213328

Abstract: An intelligent driver assistance system is developed in this study, which is able to remind the drivers to turn on the head lights or wipers through situation recognition method when driving at night or on… read more here.

Keywords: system; assistance; assistance system; deep learning ... See more keywords

TILPDeep: A Lightweight Deep Learning Technique for Handwritten Transformed Invariant Pashto Text Recognition

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Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3248508

Abstract: Pashto is the native language of Afghanistan and one of Pakistan’s most essential and regional languages. The Pashto language has a vast number of native speakers who live in various parts of the world. The… read more here.

Keywords: handwritten; deep learning; lightweight deep; transformed invariant ... See more keywords

A Hybrid Lightweight Deep Learning-Based Intrusion Detection Approach in IoT Utilizing Feature Selection & Explainable Artificial Intelligence

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Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3630753

Abstract: Due to the resource constraints of IoT devices, standard cryptographic-based intrusion detection techniques are ineffective in real-world IoT environments. This study presents DL-IID, a lightweight deep learning-based framework for IoT intrusion detection. The model integrates… read more here.

Keywords: intrusion detection; intrusion; lightweight deep; iot ... See more keywords

A Lightweight Deep-Learning Algorithm for Welding Defect Detection in New Energy Vehicle Battery Current Collectors

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Published in 2024 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2024.3398769

Abstract: The future direction of global automotive development is electrification, and the battery current collector (BCC) is an essential component of new energy vehicle batteries. However, the welding defects in the BCC during the welding process… read more here.

Keywords: detection; deep learning; lightweight deep; battery current ... See more keywords

Cloud-Edge-End Cooperative Detection of Wind Turbine Blade Surface Damage Based on Lightweight Deep Learning Network

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Published in 2023 at "IEEE Internet Computing"

DOI: 10.1109/mic.2022.3175935

Abstract: Blade health is directly related to the safety and efficiency of wind turbine (WT) operation. In this article, a cloud-edge-end collaborative detection method for WT blade surface damage is proposed based on lightweight deep learning… read more here.

Keywords: detection; deep learning; lightweight deep; surface damage ... See more keywords

A Lightweight Deep Neural Network for Sea Surface Wind Speed Retrievals From the FY-3D/MWRI

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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3539992

Abstract: Sea surface wind speed (SSWS) is an important oceanic dynamical parameter, extensively utilized in numerical simulations of climate change and weather forecasts, as well as in storm intensity assessment. Microwave radiometers onboard sun-synchronous satellites can… read more here.

Keywords: surface wind; lightweight deep; wind speed; speed ... See more keywords

LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution

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Published in 2021 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2021.3117685

Abstract: Deep learning has become popular in recent years primarily due to powerful computing devices such as graphics processing units (GPUs). However, it is challenging to deploy these deep models to multimedia devices, smartphones, or embedded… read more here.

Keywords: convolution; low rank; rank pointwise; lightweight deep ... See more keywords

Deep PLS: A Lightweight Deep Learning Model for Interpretable and Efficient Data Analytics.

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Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3154090

Abstract: The salient progress of deep learning is accompanied by nonnegligible deficiencies, such as: 1) interpretability problem; 2) requirement for large data amounts; 3) hard to design and tune parameters; and 4) heavy computation complexity. Despite… read more here.

Keywords: neural networks; deep pls; interpretable efficient; deep learning ... See more keywords

Feature Recognition and Style Transfer of Painting Image Using Lightweight Deep Learning

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Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/1478371

Abstract: This work aims to improve the feature recognition efficiency of painting images, optimize the style transfer effect of painting images, and save the cost of computer work. First, the theoretical knowledge of painting image recognition… read more here.

Keywords: recognition; feature recognition; transfer; lightweight deep ... See more keywords

Retracted: An Effective and Lightweight Deep Electrocardiography Arrhythmia Recognition Model Using Novel Special and Native Structural Regularization Techniques on Cardiac Signal

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Published in 2023 at "Journal of Healthcare Engineering"

DOI: 10.1155/2023/9862375

Abstract: [This retracts the article DOI: 10.1155/2022/3408501.]. read more here.

Keywords: arrhythmia recognition; deep electrocardiography; retracted effective; electrocardiography arrhythmia ... See more keywords