[HTML][HTML] Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications

SK Baduge, S Thilakarathna, JS Perera… - Automation in …, 2022 - Elsevier
This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI),
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …

[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications

VG Dhanya, A Subeesh, NL Kushwaha… - Artificial Intelligence in …, 2022 - Elsevier
… Modern computer vision techniques can help in the digital quantification of different …
Further, combining the computer vision techniques with the high throughput molecular …

The convergence of deep learning and computer vision: smart city applications and research challenges

D Kothadiya, A Chaudhari, R Macwan… - … Integrated Intelligent …, 2021 - atlantis-press.com
… In recent years, deep learning strategies started to outshine traditional machine learning
methods in a few fields, with Computer Vision being one of the most noticeable ones. The …

[图书][B] Deep learning for vision systems

M Elgendy - 2020 - books.google.com
deep learning techniques to solve object classification and detection problems, and part 3
explains deep learning techniques to generate images and visual … with all the smart devices in …

Deep learning based smart radar vision system for object recognition

Z Wen, D Liu, X Liu, L Zhong, Y Lv, Y Jia - Journal of Ambient Intelligence …, 2019 - Springer
… Our proposed method for object classification is based on CNNs, which have recently …
Different from traditional hand crafted vision method, deep neural networks extract features by …

Deep learning for smart manufacturing: Methods and applications

J Wang, Y Ma, L Zhang, RX Gao, D Wu - Journal of manufacturing systems, 2018 - Elsevier
… of deep learning techniques and their applications in smart manufacturing. Specifically, the
deep learning … is proposed to meet the opportunistic need of smart manufacturing. The typical …

[HTML][HTML] Fire detection method in smart city environments using a deep-learning-based approach

K Avazov, M Mukhiddinov, F Makhmudov, YI Cho - Electronics, 2021 - mdpi.com
… VFDs have progressively gained popularity with the advancement of computer vision and
machine learning, and they have been in use for many years. Moreover, VFDs are more …

Computer vision and deep learning-enabled uavs: proposed use cases for visually impaired people in a smart city

MM Nasralla, IU Rehman, D Sobnath… - Computer Analysis of …, 2019 - Springer
… 4, we present deep learning and computer vision-enabled UAV use cases to assist VIP. …
other machine learning techniques (eg Neural Networks) [8]. In recent times, deep learning has …

Deep learning methods for object detection in smart manufacturing: A survey

HM Ahmad, A Rahimi - Journal of Manufacturing Systems, 2022 - Elsevier
… a comprehensive survey of deep learning-based state-of-the-art object detection methods.
It … Firstly, object detection methods using deep learning are discussed while their advantage …

Deep learning-based smart IoT health system for blindness detection using retina images

AK Jaiswal, P Tiwari, S Kumar, MS Al-Rakhami… - IEEE …, 2021 - ieeexplore.ieee.org
deep learning techniques to automate the detection of blind spot in an eye and identify how
severe the stage may be. In this paper, we propose an optimized techniqueneural network