A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and …

SK Rajeev, MP Rajasekaran… - … Signal Processing and …, 2022 - Elsevier
Brain tumor represents the unnatural growth of cells in the brain and is identified to be one of
the deadliest cancers around the globe. The survival rate of this disease varies with the …

Can-bus attack detection with deep learning

F Amato, L Coppolino, F Mercaldo… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Modern cars include a huge number of sensors and actuators, which continuously exchange
data and control commands. The most used protocol for communication of different …

Digital twin-based intelligent safety risks prediction of prefabricated construction hoisting

ZS Liu, XT Meng, ZZ Xing, CF Cao, YY Jiao, AX Li - Sustainability, 2022 - mdpi.com
Prefabricated construction hoisting has one of the highest rates of fatalities and injuries
compared to other construction processes, despite technological advancements and …

Vision-based construction worker activity analysis informed by body posture

D Roberts, W Torres Calderon, S Tang… - Journal of Computing …, 2020 - ascelibrary.org
Activity analysis of construction resources is generally performed by manually observing
construction operations either in person or through recorded videos. It is thus prone to …

[HTML][HTML] Multi-camera vision-based productivity monitoring of earthmoving operations

J Kim, S Chi - Automation in Construction, 2020 - Elsevier
To be successful in managing earthmoving projects, it is very important to monitor the
operational efficiency and productivity of heavy equipment. Researchers have investigated …

[HTML][HTML] Computer vision and IoT research landscape for health and safety management on construction sites

S Arshad, O Akinade, S Bello, M Bilal - Journal of Building Engineering, 2023 - Elsevier
Aims Perform a systematic review of current literature to evaluate and summarise the health
and safety hazards on construction sites. Methods Science Direct, SCOPUS and web of …

Enhanced safety implementation in 5S+ 1 via object detection algorithms

M Shahin, FF Chen, A Hosseinzadeh… - … International Journal of …, 2023 - Springer
Scholarly work points to 5S+ 1, a simple yet powerful method of initiating quality in
manufacturing, as one of the foundations of Lean manufacturing and the Toyota Production …

Activity identification in modular construction using audio signals and machine learning

KM Rashid, J Louis - Automation in construction, 2020 - Elsevier
Modular construction is an attractive building method due to its advantages over traditional
stick-built methods in terms of reduced waste and construction time, more control over …

The impact of wearable devices on the construction safety of building workers: a systematic review

H Chen, Y Mao, Y Xu, R Wang - Sustainability, 2023 - mdpi.com
Worker safety is a key concern in the construction industry. Making construction safer by
reducing safety hazards is critical to sustainably developing the construction industry. Big …

Deep convolutional networks for construction object detection under different visual conditions

ND Nath, AH Behzadan - Frontiers in Built Environment, 2020 - frontiersin.org
Sensing and reality capture devices are widely used in construction sites. Among different
technologies, vision-based sensors are by far the most common and ubiquitous. A large …