|
|
|
|
|
Mingze Li, Bing Li, Zhigang Qi, Jiashuai Li and Jiawei Wu
Predicting ship trajectories plays a vital role in ensuring navigational safety, preventing collision incidents, and enhancing vessel management efficiency. The integration of advanced machine learning technology for precise trajectory prediction is emer...
ver más
|
|
|
|
|
|
|
|
|
|
|
Junling Zhang, Min Mei, Jun Wang, Guangpeng Shang, Xuefeng Hu, Jing Yan and Qian Fang
The deformation of tunnel support structures during tunnel construction is influenced by geological factors, geometrical factors, support factors, and construction factors. Accurate prediction of tunnel support structure deformation is crucial for engine...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chi-Horng Liao
One of the key challenges of non-profit organizations is the effective communication of values beneficial to society, such as altruism. Communication can be deemed effective if the message is memory encoded by the recipient. This paper applies social cog...
ver más
|
|
|
|
|
|
|
|
|
|
|
Carmine Paolino, Alessio Antolini, Francesco Zavalloni, Andrea Lico, Eleonora Franchi Scarselli, Mauro Mangia, Alex Marchioni, Fabio Pareschi, Gianluca Setti, Riccardo Rovatti, Mattia Luigi Torres, Marcella Carissimi and Marco Pasotti
Analog In-Memory computing (AIMC) is a novel paradigm looking for solutions to prevent the unnecessary transfer of data by distributing computation within memory elements. One such operation is matrix-vector multiplication (MVM), a workhorse of many fiel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liang Chen, Yuyi Yang, Zhenheng Wang, Jian Zhang, Shaowu Zhou and Lianghong Wu
Underwater robot perception is a critical task. Due to the complex underwater environment and low quality of optical images, it is difficult to obtain accurate and stable target position information using traditional methods, making it unable to meet pra...
ver más
|
|
|
|
|
|
|
|
|
|
|
Linjing Hu, Jiachen Wang, Zhaoze Guo and Tengda Zheng
Power load forecasting plays an important role in power systems, and the accuracy of load forecasting is of vital importance to power system planning as well as economic efficiency. Power load data are nonsmooth, nonlinear time-series and ?noisy? data. T...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuri Ardesi, Mariagrazia Graziano and Gianluca Piccinini
Molecular Field-Coupled Nanocomputing (FCN) is a computational paradigm promising high-frequency information elaboration at ambient temperature. This work proposes a model to evaluate the signal energy involved in propagating and elaborating the informat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ziyan Zhang, Zhiping Dan, Fangmin Dong, Zhun Gao and Yanke Zhang
Many rumors spread quickly and widely on social media, affecting social stability. The rumors of most current detection methods only use textual information or introduce external auxiliary information (such as user information and propagation information...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuhao Huo, Anran Yang, Qingren Jia, Yebin Chen, Biao He and Jun Li
Oblique photogrammetry models are indispensable for implementing digital twins of cities. Geographic information system researchers have proposed plenty of methods to load and visualize these city-scaled scenes. However, when the area viewed changes quic...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammad Nasim Imtiaz Khan, Shivam Bhasin, Bo Liu, Alex Yuan, Anupam Chattopadhyay and Swaroop Ghosh
Emerging Non-Volatile Memories (NVMs) such as Magnetic RAM (MRAM), Spin-Transfer Torque RAM (STTRAM), Phase Change Memory (PCM) and Resistive RAM (RRAM) are very promising due to their low (static) power operation, high scalability and high performance. ...
ver más
|
|
|
|
|
|