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en línea
Shubin Zhang, Peifang Dai, Ning Li and Yanbo Chen    
Integrated circuits suffer severe deterioration due to single-event upsets (SEUs) in irradiated environments. Spin-transfer torque magnetic random-access memory (STT-MRAM) appears to be a promising candidate for next-generation memory as it shows promisi... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yanan Wu, Yalin Yang and May Yuan    
Conventional spatiotemporal methods take frequentist or density-based approaches to map event clusters over time. While these methods discern hotspots of varying continuity in space and time, their findings overlook locations of routine occurrences where... ver más
Revista: Information    Formato: Electrónico

 
en línea
Danjie Chen, Yan Zheng, Liqun Ma and Fen Qin    
Typhoons are destructive weather events. News media reports contain large amounts of typhoon information. Transforming this information into useful knowledge to provide a basis for mining typhoon knowledge and supporting disaster prevention and relief is... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Xun Zhang, Ziqi Wang, Huijun Chen and Hao Ding    
The control strategy of an underdriven unmanned underwater vehicle (UUV) equipped with front sonar and actuator faults in a continuous task environment is investigated. Considering trajectory tracking and local path planning in complex-obstacle environme... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Neil Spencer Bruce    
This paper proposes the ?soundsit? as an alternative method to be used independently or in conjunction with current soundwalking methodological practice. The soundsit seeks to address the limits of the soundwalking method in relation to issues of transit... ver más
Revista: Acoustics    Formato: Electrónico

 
en línea
Zhangcai Yin, Yuan Chen and Shen Ying    
Time geography considers that the motion of moving objects can be expressed using space?time paths. The existing time geography methods construct space-time paths using discrete trajectory points of a moving point object to characterize its motion patter... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Sepideh Kilani, Seyedeh Nadia Aghili and Mircea Hulea    
A new approach is introduced to address the subject dependency problem in P300-based brain-computer interfaces (BCI) by using transfer learning. The occurrence of P300, an event-related potential, is primarily associated with changes in natural neuron ac... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Daniel F. Ryan, Sophie Musset, Hamish A. S. Reid, Säm Krucker, Andrea F. Battaglia, Eric Bréelle, Claude Chapron, Hannah Collier, Joel Dahlin, Carsten Denker, Ewan Dickson, Peter T. Gallagher, Iain Hannah, Natasha L. S. Jeffrey, Jana Ka?parová, Eduard Kontar, Philippe Laurent, Shane A. Maloney, Paolo Massa, Anna Maria Massone, Tomasz Mrozek, Damien Pailot, Melody Pallu, Melissa Pesce-Rollins, Michele Piana, Illya Plotnikov, Alexis Rouillard, Albert Y. Shih, David Smith, Marek Steslicki, Muriel Z. Stiefel, Alexander Warmuth, Meetu Verma, Astrid Veronig, Nicole Vilmer, Christian Vocks and Anna Volparaadd Show full author list remove Hide full author list    
Models of particle acceleration in solar eruptive events suggest that roughly equal energy may go into accelerating electrons and ions. However, while previous solar X-ray spectroscopic imagers have transformed our understanding of electron acceleration,... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Marek Bujnák, Rastislav Pirník, Pavol Kuchár and Karol Rástocný    
High hygiene standards were established during the COVID-19 epidemic, and their adherence was closely monitored. They included the need to regularly wash one?s hands and the requirement to cover person?s upper airways or keep at least a two-meter space b... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Shao Xuan Seah and Sutthiphong Srigrarom    
This paper explores the use of deep reinforcement learning in solving the multi-agent aircraft traffic planning (individual paths) and collision avoidance problem for a multiple UAS, such as that for a cargo drone network. Specifically, the Deep Q-Networ... ver más
Revista: Aerospace    Formato: Electrónico

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