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A celebrity fight-back "par excellence". (2005)
Journal Article
LAUTERBACH, T. 2005. A celebrity fight-back "par excellence". Computer law and security report [online], 21(1), pages 74-77. Available from: https://doi.org/10.1016/j.clsr.2005.01.018

Having hardly had time to recover from the judgment in Campbell v. MGN Ltd., the Strasbourg judges' decision in von Hannover v. Germany (Application no. 59320/00, judgment of 24 June 2004. While the judgment is not yet reported, it has been published... Read More about A celebrity fight-back "par excellence"..

FusDreamer: label-efficient remote sensing world model for multimodal data classification. (2025)
Journal Article
WANG, J., SONG, W., CHEN, H., REN, J. and ZHAO, H. [2025]. FusDreamer: label-efficient remote sensing world model for multimodal data classification. IEEE transactions on geoscience and remote sensing [online], Early Access. Available from: https://doi.org/10.1109/TGRS.2025.3554862

World models significantly enhance hierarchical understanding, improving data integration and learning efficiency. To explore the potential of the world model in the remote sensing (RS) field, this paper proposes a label-efficient remote sensing worl... Read More about FusDreamer: label-efficient remote sensing world model for multimodal data classification..

A latency-efficient integration of channel attention for ConvNets. (2025)
Journal Article
PARK, W., CHOI, Y., MEKALA, M.S., CHOI, G.S., YOO, K.-Y. and JUNG, H.-Y. 2025. A latency-efficient integration of channel attention for ConvNets. Computers, maerials and continua [online], 82(3), pages 3965-3981. Available from: https://doi.org/10.32604/cmc.2025.059966

Designing fast and accurate neural networks is becoming essential in various vision tasks. Recently, the use of attention mechanisms has increased, aimed at enhancing the vision task performance by selectively focusing on relevant parts of the input.... Read More about A latency-efficient integration of channel attention for ConvNets..

Entropy guidance hierarchical rich-scale feature network for remote sensing image semantic segmentation of high resolution. (2025)
Journal Article
ZHANG, H., LI, L., XIE, X., HE, Y., REN, J. and XIE, G. 2025. Entropy guidance hierarchical rich-scale feature network for remote sensing image semantic segmentation of high resolution. Applied intelligence [online], 55(6), article number 528. Available from: https://doi.org/10.1007/s10489-025-06433-1

Semantic segmentation of high-resolution remote sensing images (HRRSIs) is crucial for a wide range of applications, such as urban planning and disaster management. However, in HRRSIs, existing multiscale feature extraction and fusion methods often f... Read More about Entropy guidance hierarchical rich-scale feature network for remote sensing image semantic segmentation of high resolution..

Influence of alloy composition on the tribomechanical properties of 50% blend of CoCrWMoCFeNiSiMn (stellite 1) and CoCrMoCFeNiSiMn (stellite 21) alloys. (2025)
Journal Article

This paper aims to investigate the structure-property relationship of the blend of two different carbide-type wear resistance Stellite® alloys, i.e. high carbon and tungsten CoCrW (Stellite 1) alloy and high molybdenum CoCrMo (Stellite 21) alloy. Ble... Read More about Influence of alloy composition on the tribomechanical properties of 50% blend of CoCrWMoCFeNiSiMn (stellite 1) and CoCrMoCFeNiSiMn (stellite 21) alloys..