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   Articles with "adaptive fusion" as a keyword



Adaptive Fusion-Based Autonomous Laparoscope Control for Semi-Autonomous Surgery

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recommendations! Published in 2019 at "Journal of Medical Systems"

DOI: 10.1007/s10916-019-1460-9

Abstract: The purpose of this paper is to develop an autonomous tracking algorithm based on adaptive fusion kinematics method, the autonomous laparoscope control algorithm and adaptive fusion kinematics method are proposed for semi-autonomous surgery, focus on… read more here.

Keywords: control; kinematics; adaptive fusion; autonomous laparoscope ... See more keywords

MCST-AFN: A Multichannel Spatiotemporal Feature Adaptive Fusion Network Framework Based on a Low-Fidelity Molecular Dynamics Model

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recommendations! Published in 2025 at "ACS Omega"

DOI: 10.1021/acsomega.5c01443

Abstract: The capability of predicting molecular properties plays a crucial role in drug development, and the learning of molecular representations stands as the primary step in tasks aimed at predicting molecular properties. Static three-dimensional (3D) structural… read more here.

Keywords: low fidelity; molecular dynamics; model; adaptive fusion ... See more keywords

A Hybrid Adaptive Fusion Deep Learning Model for Fault Diagnosis of Rotating Machinery Under Noisy Conditions

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3572902

Abstract: Rotating machinery is essential in modern industry. A robust noise-resistant method is proposed to improve diagnostic accuracy under intense noise conditions. Initially, time-domain signals are transformed into the time-frequency domain using the Synchrosqueezing Short-Time Fourier… read more here.

Keywords: fusion deep; adaptive fusion; rotating machinery; hybrid adaptive ... See more keywords

An Adaptive Fusion Path Tracking Strategy for Autonomous Vehicles Based on Improved ACO Algorithm

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3590633

Abstract: Path tracking system is a key component in autonomous vehicles research. It is a challenge for a single controller to achieve accurate tracking in complex scenarios with dynamic curvatures and errors. Although methods based on… read more here.

Keywords: autonomous vehicles; fusion; controller; path tracking ... See more keywords

M-CSAFN: Multi-color Space Adaptive Fusion Network for Automated Port-wine Stains Segmentation.

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recommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"

DOI: 10.1109/jbhi.2023.3247479

Abstract: Automatic segmentation of port-wine stains (PWS) from clinical images is critical for accurate diagnosis and objective assessment of PWS. However, this is a challenging task due to the color heterogeneity, low contrast, and indistinguishable appearance… read more here.

Keywords: port wine; color; wine stains; segmentation ... See more keywords

Multiscale Adaptive Fusion Network for Hyperspectral Image Denoising

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recommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2023.3257051

Abstract: Removing the noise and improving the visual quality of hyperspectral images (HSIs) is challenging in academia and industry. Great efforts have been made to leverage local, global, or spectral context information for HSI denoising. However,… read more here.

Keywords: network; fusion; multiscale adaptive; fusion network ... See more keywords

Improving Object Detection From Remote Sensing Images via Self-Supervised Adaptive Fusion Networks

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recommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2023.3345283

Abstract: Detecting objects in remote sensing images is essential for intelligent interpretation. Although deep neural networks have made significant progress in recent years, they often struggle with complex backgrounds in remote sensing images, which can lead… read more here.

Keywords: detection; self supervised; remote sensing; adaptive fusion ... See more keywords

Bidirectional Feature Aggregation and Adaptive Fusion Network for ALS Point Cloud Semantic Segmentation

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recommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2025.3532795

Abstract: Significant progress has been achieved using deep learning technology for the semantic segmentation of airborne laser scanning (ALS) point clouds. However, there are still challenges in effectively capturing contextual information and fusing network multilevel features… read more here.

Keywords: bidirectional feature; feature aggregation; segmentation; adaptive fusion ... See more keywords

Multiple Observer Adaptive Fusion for Uncertainty Estimation and Its Application to Wheel Velocity Systems

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recommendations! Published in 2024 at "IEEE Transactions on Cybernetics"

DOI: 10.1109/tcyb.2024.3371213

Abstract: Uncertainty estimation in real-world scenarios is challenged by complexities arising from peaking phenomena and measurement noises. This article introduces a novel scheme for practical uncertainty estimation to mitigate peaking dynamics and enhance overall dynamic behavior.… read more here.

Keywords: adaptive fusion; estimation; wheel velocity; uncertainty estimation ... See more keywords

Adaptive Fusion Feature Transfer Learning Method For NILM

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recommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2023.3269105

Abstract: Noninvasive load monitoring (NILM) aims to extract the power consumption of individual appliances from a smart meter that measures the total power consumption of all appliances. At present, deep learning methods have achieved leading results.… read more here.

Keywords: feature transfer; transfer; transfer learning; adaptive fusion ... See more keywords

MSAFusion: Object Detection Based on Multisensor Adaptive Fusion Under BEV

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recommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2025.3548792

Abstract: Object detection is a critical component of autonomous driving perception. To achieve comprehensive environmental perception, mainstream methods commonly rely on multimodal sensor fusion. However, existing solutions often face challenges such as low sensor utilization and… read more here.

Keywords: multisensor adaptive; object detection; fusion; adaptive fusion ... See more keywords