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Local Resultant Gradient Vector Difference and Inpainting for 3D Text Detection in the Wild (2022)
Journal Article
Zhong, D., Shivakumara, P., Nandanwar, L., Pal, U., Blumenstein, M., & Lu, Y. (2022). Local Resultant Gradient Vector Difference and Inpainting for 3D Text Detection in the Wild. International Journal of Pattern Recognition and Artificial Intelligence, 36(8), Article 2253005. https://doi.org/10.1142/S0218001422530056

Three-dimensional (3D) text appearing in natural scene images is common due to 3D cameras and the capture of text from different angles, which presents new problems for text detection. This is because of the presence of depth information, shadows, an... Read More about Local Resultant Gradient Vector Difference and Inpainting for 3D Text Detection in the Wild.

Weed Detection by Faster RCNN Model: An Enhanced Anchor Box Approach (2022)
Journal Article
Saleem, M. H., Potgieter, J., & Arif, K. M. (in press). Weed Detection by Faster RCNN Model: An Enhanced Anchor Box Approach. Agronomy, 12(7), 1580. https://doi.org/10.3390/agronomy12071580

To apply weed control treatments effectively, the weeds must be accurately detected. Deep learning (DL) has been quite successful in performing the weed identification task. However, various aspects of the DL have not been explored in previous studie... Read More about Weed Detection by Faster RCNN Model: An Enhanced Anchor Box Approach.

Epidemiologically-based strategies for the detection of emerging plant pathogens (2022)
Journal Article
Mastin, A., van den Bosch, F., Bourhis, Y., & Parnell, S. (2022). Epidemiologically-based strategies for the detection of emerging plant pathogens. Scientific reports, 12(1), https://doi.org/10.1038/s41598-022-13553-y

Emerging pests and pathogens of plants are a major threat to natural and managed ecosystems worldwide. Whilst it is well accepted that surveillance activities are key to both the early detection of new incursions and the ability to identify pest-free... Read More about Epidemiologically-based strategies for the detection of emerging plant pathogens.

Advanced Technologies for Offering Situational Intelligence in Flood Warning and Response Systems: A Literature Review (2022)
Journal Article

Deaths and property damage from floods have increased drastically in the past two decades due to various reasons such as increased populations, unplanned developments, and climate change. Such losses from floods can be reduced by issuing timely early... Read More about Advanced Technologies for Offering Situational Intelligence in Flood Warning and Response Systems: A Literature Review.

Craniodental morphology and phylogeny of marsupials (2022)
Journal Article
Beck, R., Voss, R., & Jansa, S. (in press). Craniodental morphology and phylogeny of marsupials. Bulletin of the American Museum of Natural History, 1-350. https://doi.org/10.1206/0003-0090.457.1.1

The current literature on marsupial phylogenetics includes numerous studies based on analyses of morphological data with limited sampling of Recent and fossil taxa, and many studies based on analyses of molecular data with dense sampling of Recent ta... Read More about Craniodental morphology and phylogeny of marsupials.

High Hybrid Power Converter Performance Using Modern-Optimization-Methods-Based PWM Strategy (2022)
Journal Article
Nusair, K., Alasali, F., Holderbaum, W., Vinayagam, A., & Aziz, A. (2022). High Hybrid Power Converter Performance Using Modern-Optimization-Methods-Based PWM Strategy. Electronics, 11(13), 2019. https://doi.org/10.3390/electronics11132019

Recently, interest in DC networks and converters has increased due to the high number of applications in renewable energy systems. Consequently, the importance of improving the efficiency of the hybrid converters has been highlighted. An optimal cont... Read More about High Hybrid Power Converter Performance Using Modern-Optimization-Methods-Based PWM Strategy.