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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..

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..

Neutron diffraction assessment at extreme temperatures to gain insights into the performance of thermocouple coatings. Part 2. [Dataset] (2025)
Data
IRUNGU, B., FAISAL, N., LEE, T.L., GOEL, S. and ISMAIL, M.A.E. 2025. Neutron diffraction assessment at extreme temperatures to gain insights into the performance of thermocouple coatings. Part 2. [Dataset]. Hosted on STFC ISIS neutron and muon source data journal [online]. Available from: https://doi.org/10.5286/ISIS.E.RB2510004-2

This project investigates the behaviour of Chromel-Alumel K-type thermocouples under extreme temperature conditions, focusing on coatings produced through thermal spray processes. These thermocouples, widely used in industrial and aerospace applicati... Read More about Neutron diffraction assessment at extreme temperatures to gain insights into the performance of thermocouple coatings. Part 2. [Dataset].

Improved particle swarm optimization-adaptive dual extended Kalman filtering for accurate battery state of charge and state of energy joint estimation with efficient core factor feedback correction. (2025)
Journal Article
WANG, S., WU, Y., ZHOU, H., ZHANG, Q., FERNANDEZ, C. and BLAABJERG, F. 2025. Improved particle swarm optimization-adaptive dual extended Kalman filtering for accurate battery state of charge and state of energy joint estimation with efficient core factor feedback correction. Energy [online], 322, article number 135686. Available from: https://doi.org/10.1016/j.energy.2025.135686

With the rapid development of electric vehicles, the accuracy requirement for lithium-ion battery state feedback is increasing. However, traditional algorithms cannot achieve the desired accuracy. For this purpose, this article focuses on the ternary... Read More about Improved particle swarm optimization-adaptive dual extended Kalman filtering for accurate battery state of charge and state of energy joint estimation with efficient core factor feedback correction..