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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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4

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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5

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6

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.

Artificial neural networ... Deep learning Computer vision Artificial intelligence Environmental monitoring Ecosystems
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7

Automatic tarmac crack identification application.
Coca, Lucia-Georgiana ; Cusmuliuc, Ciprian Gabriel ; Iftene, Adrian
Procedia Computer Science. 2021, Vol. 192, p478-486. 9p.

Android (Operating syste... Artificial neural networ... Industrial safety Algorithms Climate change Mobile apps
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8

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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9

Refined edge detection with cascaded and high-resolution convolutional network
Elharrouss, Omar ; Hmamouche, Youssef ; Idrissi, Assia Kamal ; et al.
In Pattern Recognition June 2023 138

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10

A review on artificial intelligence applications for facades
Duran, Ayca ; Waibel, Christoph ; Piccioni, Valeria ; et al.
In Building and Environment 1 February 2025 269

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11

Artificial intelligence-assisted visual inspection for cultural heritage: State-of-the-art review
Mishra, Mayank ; Lourenço, Paulo B.
In Journal of Cultural Heritage March-April 2024 66:536-550

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12

Deep learning based computer vision approaches for smart agricultural applications
Dhanya, V.G. ; Subeesh, A. ; Kushwaha, N.L. ; et al.
In Artificial Intelligence in Agriculture 2022 6:211-229

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14

A vision transformer-based hybrid neural architecture for automated handwritten Bangla character recognition and braille conversion
Ahmed, Touseef Saleh Bin ; Rahman, Tawhidur ; Biswas, Shammo ; et al.
In Knowledge-Based Systems 25 November 2025 330 Part B

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15

Deep learning and computer vision based occupancy CO2 level prediction for demand-controlled ventilation (DCV)
Wei, Shuangyu ; Tien, Paige Wenbin ; Chow, Tin Wai ; et al.
In Journal of Building Engineering 15 September 2022 56

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16

Parameter efficient vs full fine-tuning for building children’s myopia prediction models
Ros-Sánchez, Elena ; Domínguez, César ; Heras, Jónathan ; et al.
In Systems and Soft Computing June 2026 8

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17

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.

ARTIFICIAL neural networ... DRONE surveillance TRAFFIC monitoring OBJECT recognition (Comp... FEATURE extraction MULTISENSOR data fusion
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18

Identification and reconstruction of concrete mesostructure based on deep learning in artificial intelligence
Ying, Jingwei ; Tian, Jiashuo ; Xiao, Jianzhuang ; et al.
In Construction and Building Materials 17 October 2022 352

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19

An improved genetic algorithm based deep learning model with you only look once framework for driver distraction detection
Rampavan, Medipelly ; Ijjina, Earnest Paul
In Engineering Applications of Artificial Intelligence July 2025

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20

Real-Time Face Detection and Recognition on Raspberry Pi using LBP and Deep Learning
B, Venkata Kranthi ; Borra, Surekha
Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence. :124-129

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