Opportunities, applications, and challenges of edge-AI enabled video analytics in smart cities: a systematic review
Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …
and industry, captivating minds with its transformative potential. Deep learning techniques …
Surface crack detection using deep learning with shallow CNN architecture for enhanced computation
Surface cracks on the concrete structures are a key indicator of structural safety and
degradation. To ensure the structural health and reliability of the buildings, frequent structure …
degradation. To ensure the structural health and reliability of the buildings, frequent structure …
Deep learning for detecting distresses in buildings and pavements: a critical gap analysis
Purpose The massive number of pavements and buildings coupled with the limited
inspection resources, both monetary and human, to detect distresses and recommend …
inspection resources, both monetary and human, to detect distresses and recommend …
Investigation of steel frame damage based on computer vision and deep learning
Visual damage inspection of steel frames by eyes alone is time-consuming and
cumbersome; therefore, it produces inconsistent results. Existing computer vision-based …
cumbersome; therefore, it produces inconsistent results. Existing computer vision-based …
Wind-induced pressure prediction on tall buildings using generative adversarial imputation network
Wind tunnel testing techniques are the main research tools for evaluating the wind loadings
of buildings. They are significant in designing structurally safe and comfortable buildings …
of buildings. They are significant in designing structurally safe and comfortable buildings …
Deep learning activation layer-based wall quality recognition using Conv2D ResNet exponential transfer learning model
B Kim, Y Natarajan, SD Munisamy, A Rajendran… - Mathematics, 2022 - mdpi.com
Crack detection is essential for observing structural health and guaranteeing structural
safety. The manual crack and other damage detection process is time-consuming and …
safety. The manual crack and other damage detection process is time-consuming and …
Automatic road sign detection and recognition based on neural network
Road sign detection and recognition is an integral part of intelligent transportation systems. It
increases protection by reminding the driver of the current condition of the route, such as …
increases protection by reminding the driver of the current condition of the route, such as …
Spiral-based chaotic chicken swarm optimization algorithm for parameters identification of photovoltaic models
Photovoltaic (PV) systems are becoming increasingly significant because they can convert
solar energy into electricity. The conversion efficiency is related to the PV models' …
solar energy into electricity. The conversion efficiency is related to the PV models' …
Transfer learning based real-time crack detection using unmanned aerial system
Monitoring civil structures periodically is necessary for ensuring the fitness of the structures.
Cracks on inner and outer surfaces of the building plays a vital role in indicating the health of …
Cracks on inner and outer surfaces of the building plays a vital role in indicating the health of …
A stacked generalization model to enhance prediction of earthquake-induced soil liquefaction
Earthquakes cause liquefaction, which disturbs the design phase during the building
construction process. The potential of earthquake-induced liquefaction was estimated …
construction process. The potential of earthquake-induced liquefaction was estimated …