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  • Suche: Building Computer Vision Applications Using Artificial Neural Networks

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Implementation of the Canny Edge Detector Using a Spiking Neural Network.
Vemuru, Krishnamurthy V.
Future Internet. Dec2022, Vol. 14 Issue 12, p371. 12p.

Artificial neural networ... Detectors Computer vision Noise control
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4

Convolutional neural networks for construction safety: A technical review of computer vision applications.
Cai, Ruying ; Li, Jingru ; Tan, Yi ; et al.
Applied Soft Computing. Aug2025, Vol. 180, pN.PAG-N.PAG. 1p.

Convolutional neural net... Construction industry sa... Hypothesis Deep learning Computer vision Computer performance …
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5

Using Different Types of Artificial Neural Networks to Classify 2D Matrix Codes and Their Rotations—A Comparative Study
Ladislav Karrach ; Elena Pivarčiová
Journal of Imaging, Vol 9, Iss 9, p 188 (2023)

multilayer perceptron probabilistic neural net... radial basis function ne... convolutional neural net... 2D matrix codes classification …
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6

ClaudesLens: Uncertainty Quantification in Computer Vision Models
Shaar, Mohamad Al ; Ekström, Nils ; Gille, Gustav ; et al.

Computer Science - Compu... Computer Science - Artif...
Report
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7

Adaptive Fine-Grained Attention and Multi-Scale Fusion Mechanism for Real-Time Small Traffic Object Detection.
Han, Longzhe ; Chen, Li ; Zhang, Hui ; et al.
International Journal of Software Engineering & Knowledge Engineering. Nov2025, p1-24. 24p. 16 Illustrations.

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8

A general deep learning model for bird detection in high‐resolution airborne imagery.
Weinstein, Ben G. ; Garner, Lindsey ; Saccomanno, Vienna R. ; et al.
Ecological Applications. Dec2022, Vol. 32 Issue 8, p1-12. 12p.

Environmental monitoring Ecosystems Artificial neural networ... Deep learning Computer vision Artificial intelligence
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9

Optimization of Neural Network Models of Computer Vision for Biometric Identification on Edge IoT Devices.
Belgibayev, Bauyrzhan ; Mansurova, Madina ; Ablay, Ganibet ; et al.
Journal of Imaging; Nov2025, Vol. 11 Issue 11, p419, 17p

BIOMETRIC identification COMPUTER vision MATHEMATICAL optimizatio... ARTIFICIAL neural networ... EDGE computing ARTIFICIAL intelligence …
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10

The Creation of Artificial Data for Training a Neural Network Using the Example of a Conveyor Production Line for Flooring.
Zaripov, Alexey ; Kulshin, Roman ; Sidorov, Anatoly
Journal of Imaging; May2025, Vol. 11 Issue 5, p168, 20p

COMPUTER vision ARTIFICIAL neural networ... DIGITAL twin FLOOR coverings VIDEO recording
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11

An improved transfer learning algorithm using integration method and its application in image segmentation and recognition.
Chen, Yuchong ; Fang, Xi ; Han, Hua
Multimedia Tools & Applications; Jul2025, Vol. 84 Issue 24, p28085-28114, 30p

IMAGE recognition (Compu... IMAGE segmentation TRANSFER of training MATHEMATICAL optimizatio... ENSEMBLE learning FEATURE extraction …
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12

An effective ship detection approach combining lightweight networks with supervised simulation‐to‐reality domain adaptation.
Liao, Ruixuan ; Zhang, Yiming ; Wang, Hao ; et al.
Computer-Aided Civil & Infrastructure Engineering; 11/14/2025, Vol. 40 Issue 27, p4732-4757, 26p

COMPUTER vision SHIPS RESEARCH vessels ARTIFICIAL neural networ... OBJECT recognition (Comp... EDGE computing
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13

RINDNet++: Edge Detection for Discontinuity in Reflectance, Illumination, Normal, and Depth.
Pu, Mengyang ; Huang, Yaping ; Guan, Qingji ; et al.
International Journal of Computer Vision; Oct2025, Vol. 133 Issue 10, p7486-7510, 25p

EDGE detection (Image pr... COMPUTER vision ARTIFICIAL neural networ... TECHNOLOGICAL complexity REFLECTANCE BENCHMARK problems (Comp...
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14

SELECTING UPDATE BLOCKS OF CONVOLUTIONAL NEURAL NETWORKS USING GENETIC ALGORITHM IN TRANSFER LEARNING.
Hasan, Md. Mehedi ; Ibrahim, Muhammad ; Ali, Md. Sawkat
Machine Graphics & Vision; 2024, Vol. 33 Issue 3/4, p55-70, 16p

ARTIFICIAL neural networ... COMPUTER vision GENETIC algorithms ARCHITECTURE DEEP learning
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15

Analyzing the Adversarial Robustness and Interpretability of Deep SAR Classification Models: A Comprehensive Examination of Their Reliability.
Chen, Tianrui ; Zhang, Limeng ; Guo, Weiwei ; et al.
Remote Sensing; Jun2025, Vol. 17 Issue 11, p1943, 28p

ARTIFICIAL neural networ... SYNTHETIC aperture radar IMAGE recognition (Compu... ARTIFICIAL intelligence AGRICULTURAL insurance
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16

Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation.
Fu, Chun ; Quintana, Matias ; Nagy, Zoltan ; et al.
Applied Thermal Engineering. Jan2024:Part B, Vol. 236, pN.PAG-N.PAG. 1p.

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17

ImageOP: The Image Dataset with Religious Buildings in the World Heritage Town of Ouro Preto for Deep Learning Classification.
Ottoni, André Luiz Carvalho ; Ottoni, Lara Toledo Cordeiro
Heritage (2571-9408); Nov2024, Vol. 7 Issue 11, p6499-6525, 27p

MACHINE learning COMPUTER vision NEURAL computers IMAGE recognition (Compu... ARTIFICIAL intelligence
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18

Building drainage system risk assessment using convolutional neural networks.
Cheng, Cheng-Li ; Lin, Yen Yu
Building Services Engineering Research & Technology. Aug2025, p1.

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19

The public art design of urban space using deep learning under the Internet of Things.
Song, Lei
Journal of Computational Methods in Sciences & Engineering; Jan2025, Vol. 25 Issue 1, p115-129, 15p

ARTIFICIAL neural networ... OBJECT recognition (Comp... PUBLIC art spaces MACHINE learning PUBLIC spaces DEEP learning
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20

Near Real-time Map Building with Multi-class Image Set Labeling and Classification of Road Conditions Using Convolutional Neural Networks.
Ramanna, Sheela ; Sengoz, Cenker ; Kehler, Scott ; et al.
Applied Artificial Intelligence. 2021, Vol. 35 Issue 11, p803-833. 31p.

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