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Outputs (643)

A text-context-aware CNN network for multi-oriented and multi-language scene text detection (2020)
Presentation / Conference Contribution

The existing deep learning based state-of-theart scene text detection methods treat scene texts a type of general objects, or segment text regions directly. The latter category achieves remarkable detection results on arbitrary orientation and large... Read More about A text-context-aware CNN network for multi-oriented and multi-language scene text detection.

Comparative analysis of drivers to BIM adoption among AEC firms in developing countries : a case of Nigeria (2020)
Journal Article
Babatunde, S., Ekundayo, D., Adekunle, A., & Bello, W. (2020). Comparative analysis of drivers to BIM adoption among AEC firms in developing countries : a case of Nigeria. Journal of Engineering, Design and Technology, 18(6), 1425-1447. https://doi.org/10.1108/JEDT-08-2019-0217

Purpose – Building information modelling (BIM) adoption is vital to productivity and competitive nature of the construction sector. However, BIM adoptions have not been generally embraced by many Architecture, Engineering, and Construction (AEC) firm... Read More about Comparative analysis of drivers to BIM adoption among AEC firms in developing countries : a case of Nigeria.

Enhancing the performance of Xanthan gum in water-based mud systems using an environmentally friendly biopolymer (2020)
Journal Article
Akpan, E., Enyi, G., & Nasr, G. (2020). Enhancing the performance of Xanthan gum in water-based mud systems using an environmentally friendly biopolymer. Journal of Petroleum Exploration and Production Technologies, 10, 1933-1948. https://doi.org/10.1007/s13202-020-00837-0

Xanthan gum is commonly used in drilling fluids to provide viscosity, solid suspension, and fluid-loss control. However, it is sensitive to high temperatures and not tolerant of field contaminants. This paper presents an experimental study on the eff... Read More about Enhancing the performance of Xanthan gum in water-based mud systems using an environmentally friendly biopolymer.

Descaling petroleum production tubing using multiple high-pressure nozzles (2020)
Thesis
Hassan, K. Descaling petroleum production tubing using multiple high-pressure nozzles. (Thesis). University of Salford

The mechanical approach of utilizing high-pressure water for scale removal has gained wider acceptance by multinational despite facing poor downhole performance challenges (cavitation) that need abrasion compensation (sand). Although sand particles h... Read More about Descaling petroleum production tubing using multiple high-pressure nozzles.

Compressive sensing based convolutional neural network for object detection (2020)
Journal Article
Wu, Y., Meng, Z., Palaiahnakote, S., & Lu, T. (2020). Compressive sensing based convolutional neural network for object detection. Malaysian journal of computer science, 33(1), 78-89. https://doi.org/10.22452/mjcs.vol33no1.5

Deep neural networks (DNN) have shown significant performance in several domains including computer vision and machine learning. Convolutional Neural Networks (CNN), known as a particular type of DNN, have shown their promising potentials in discover... Read More about Compressive sensing based convolutional neural network for object detection.

How does captivity affect skin colour reflectance of golden mantella frogs? (2020)
Journal Article
Figueiredo Passos, L., Garcia, G., & Young, R. (2020). How does captivity affect skin colour reflectance of golden mantella frogs?. Herpetological journal, 30(1), 13-19. https://doi.org/10.33256/hj30.1.1319

Coloration is an important trait for social communication in amphibians, being used in intra- and intersexual signalling to express information about individual body condition and health state, amongst other things. The striking colour pattern exhibi... Read More about How does captivity affect skin colour reflectance of golden mantella frogs?.