Results 81 to 90 of about 10,348,785 (252)
A Multi-Scale Feature Fusion Hybrid Convolution Attention Model for Birdsong Recognition
Applied SciencesBirdsong is a valuable indicator of rich biodiversity and ecological significance. Although feature extraction has demonstrated satisfactory performance in classification, single-scale feature extraction methods may not fully capture the complexity of ...
Lianglian Gu +6 more
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Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
Algorithms for Mobile Robot Localization and Mapping, Incorporating Detailed Noise Modeling and Multi-scale Feature Extraction [PDF]
, 2006 Mobile robot localization and mapping in unknown environments is a fundamental requirement for effective autonomous navigation. Three different approaches to localization and mapping are presented.
Pfister, Samuel Thomas
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dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Multi-sensor data fusion for urban area classification [PDF]
, 2011 Nowadays many sensors for information acquisition are widely employed in remote sensing and different properties of the objects can be revealed. Unfortunately each imaging sensor has its own limits on scene recognition in the sense of thematic, temporal,
Palubinskas, Gintautas +5 more
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Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Advanced Engineering Materials, EarlyView.Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
Research on Surface Defects Classification for PET Preform by Fusing Multi-Scale Features
IEEE AccessProduct quality control is an important component of PET preform production process. In order to improve the accuracy and reliability of PET preform detection, reduce the cost of product quality defects, and improve the overall level of product quality ...
Chunmei Duan +3 more
doaj +1 more source
Contextual and Multi-Scale Feature Fusion Network for Traffic Sign Detection
, 2020 The traffic sign detection, as an important part of the automatic driving system, requires high accuracy. In this paper, we proposed an end-to-end deep learning network, named the Contextual and Multi-Scale Feature Fusion Network, for traffic sign ...
Wang Q(王强) +3 more
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Advanced Engineering Materials, EarlyView.This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley +1 more source
Salient Object Detection Based on Multi-scale Feature Extraction and Multi-level Feature Fusion
工程科学与技术, 2021 Salient object detection has been widely used in image retrieval, image segmentation, pedestrian recognition and other fields. Current mainstream detection methods fuse multi-level feature information through short connection to add feature maps, which ...
Lingli LI, Lingbing MENG, Jinbao LI
doaj