Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Breast Cancer (BC) is the most commonly diagnosed cancer and second leading cause of
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
Roles of artificial intelligence in construction engineering and management: A critical review and future trends
With the extensive adoption of artificial intelligence (AI), construction engineering and
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective
Advances in human-centric smart manufacturing (HSM) reflect a trend towards the
integration of human-in-the-loop with technologies, to address challenges of human …
integration of human-in-the-loop with technologies, to address challenges of human …
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Applications of natural language processing in construction
In the construction industry under “Industry 4.0”, Natural Language Processing (NLP) has
been widely used to process and analyze text data to achieve construction intelligence …
been widely used to process and analyze text data to achieve construction intelligence …
Computer vision applications in construction safety assurance
Advancements in the development of deep learning and computer vision-based approaches
have the potential to provide managers and engineers with the ability to improve the safety …
have the potential to provide managers and engineers with the ability to improve the safety …
[HTML][HTML] Digital technology for quality management in construction: A review and future research directions
H Luo, L Lin, K Chen, MF Antwi-Afari, L Chen - Developments in the Built …, 2022 - Elsevier
Significant developments in digital technologies can potentially provide managers and
engineers with the ability to improve the quality of the construction industry. Acknowledging …
engineers with the ability to improve the quality of the construction industry. Acknowledging …
The classification of construction waste material using a deep convolutional neural network
The management of Construction and Demolition Waste (C&DW) is complex and adds
significantly to the overall life cycle cost of projects. On site waste sorting using technologies …
significantly to the overall life cycle cost of projects. On site waste sorting using technologies …
Hazard analysis: A deep learning and text mining framework for accident prevention
B Zhong, X Pan, PED Love, J Sun, C Tao - Advanced Engineering …, 2020 - Elsevier
Learning from past accidents is pivotal for improving safety in construction. However, hazard
records are typically documented and stored as unstructured or semi-structured free-text …
records are typically documented and stored as unstructured or semi-structured free-text …
Knowledge graph for identifying hazards on construction sites: Integrating computer vision with ontology
Hazards potentially affect the safety of people on construction sites include falls from heights
(FFH), trench and scaffold collapse, electric shock and arc flash/arc blast, and failure to use …
(FFH), trench and scaffold collapse, electric shock and arc flash/arc blast, and failure to use …