Exploring temperature-resilient recycled aggregate concrete with waste rubber: An experimental and multi-objective optimization analysis

Y Tang, Y Wang, D Wu, M Chen, L Pang… - Reviews on Advanced …, 2023 - degruyter.com
For low-carbon sustainability, recycled rubber particles (RPs) and recycled aggregate (RA)
could be used to make rubber-modified recycled aggregate concrete (RRAC). The …

[HTML][HTML] Ternary cementless composite based on red mud, ultra-fine fly ash, and GGBS: Synergistic utilization and geopolymerization mechanism

Z Li, M Gao, Z Lei, L Tong, J Sun, Y Wang… - Case Studies in …, 2023 - Elsevier
Industrial solid wastes, such as ultra-fine fly ash (RUFA) and ground granulated blast-
furnace slag (GGBS), hold tremendous potential for recycling due to their abundance and …

AI-based performance prediction for 3D-printed concrete considering anisotropy and steam curing condition

X Yao, X Lyu, J Sun, B Wang, Y Wang, M Yang… - … and Building Materials, 2023 - Elsevier
The 3D concrete printing (3DCP) technique piques the curiosity of several researchers and
enterprises. However, there are few systematic investigations into how curing conditions …

Road surface crack detection method based on improved YOLOv5 and vehicle-mounted images

H Hu, Z Li, Z He, L Wang, S Cao, W Du - Measurement, 2024 - Elsevier
Road surface crack detection methods using vehicle-mounted images have gained
substantial attention recently. Notably, YOLO-based techniques have exhibited effectiveness …

Adaptive Active Positioning of Camellia oleifera Fruit Picking Points: Classical Image Processing and YOLOv7 Fusion Algorithm

Y Zhou, Y Tang, X Zou, M Wu, W Tang, F Meng… - Applied Sciences, 2022 - mdpi.com
Camellia oleifera fruits are randomly distributed in an orchard, and the fruits are easily
blocked or covered by leaves. In addition, the colors of leaves and fruits are alike, and …

[HTML][HTML] Crack segmentation of imbalanced data: The role of loss functions

Q Du Nguyen, HT Thai - Engineering Structures, 2023 - Elsevier
Loss functions, which govern a deep learning-based optimization process, have been
widely investigated to handle the class imbalanced data issue in crack segmentation …

Advancing bridge structural health monitoring: Insights into knowledge-driven and data-driven approaches

S Wan, S Guan, Y Tang - Journal of Data Science and …, 2024 - ojs.bonviewpress.com
Structural health monitoring (SHM) is increasingly being used in the field of bridge
engineering, and the technology for monitoring bridges has undergone a radical change. It …

Masked face age and gender identification using CAFFE-modified MobileNetV2 on photo and real-time video images by transfer learning and deep learning …

BA Kumar, NK Misra - Expert Systems with Applications, 2024 - Elsevier
One of the most challenging factors related to masked face age and gender identification
(MFAGI) is develo** a technique to quickly carry out identification and maintain accuracy …

[HTML][HTML] Enhancing cybersecurity through AI and ML: Strategies, challenges, and future directions

M Roshanaei, MR Khan, NN Sylvester - Journal of Information Security, 2024 - scirp.org
The landscape of cybersecurity is rapidly evolving due to the advancement and integration
of Artificial Intelligence (AI) and Machine Learning (ML). This paper explores the crucial role …