Results 51 to 60 of about 210,556 (289)
Multiobjective Tactical Planning under Uncertainty for Air Traffic Flow and Capacity Management [PDF]
, 2013 We investigate a method to deal with congestion of sectors and delays in the tactical phase of air traffic flow and capacity management. It relies on temporal objectives given for every point of the flight plans and shared among the controllers in order ...
Marceau, Gaétan +2 more
core +2 more sources
Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes
FEBS Open Bio, EarlyView.We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde +3 more
wiley +1 more source
Short duration traffic flow prediction using kalman filtering
AIP Conference Proceedings, 2023 Shooting writing.
Momin, Khondhaker Al +3 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.Lipid nanoparticles (LNPs) are optimized to co‐deliver Cas9‐encoding messenger RNA (mRNA), a single guide RNA (sgRNA) targeting the endogenous cystic fibrosis transmembrane conductance regulator (CFTR) gene, and homologous linear double‐stranded donor DNA (ldsDNA) templates encoding CFTR.
Ruth A. Foley +12 more
wiley +1 more source
A Multiscale and High-Precision LSTM-GASVR Short-Term Traffic Flow Prediction Model
Complexity, 2020 Short-term traffic flow has the characteristics of complex, changeable, strong timeliness, and so on. So the traditional prediction algorithm is difficult to meet its high real-time and accuracy requirements.
Jingmei Zhou +3 more
doaj +1 more source
Multitask Learning for Network Traffic Classification
, 2020 Traffic classification has various applications in today's Internet, from resource allocation, billing and QoS purposes in ISPs to firewall and malware detection in clients.
Liu, Xin, Rezaei, Shahbaz
core +1 more source
Cooperative Traffic Signal Control with Traffic Flow Prediction in Multi-Intersection [PDF]
Sensors, 2019 As traffic congestion in cities becomes serious, intelligent traffic signal control has been actively studied. Deep Q-Network (DQN), a representative deep reinforcement learning algorithm, is applied to various domains from fully-observable game environment to traffic signal control.
Kim, Jeong
openaire +3 more sources
Advanced Functional Materials, EarlyView.We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj +21 more
wiley +1 more source
IEEE Access, 2020 Accurate and efficient lane-level traffic flow prediction is a challenging issue in the framework of the connected automated vehicle highway system.
Wenqi Lu +4 more
doaj +1 more source
Improving the predictability of take-off times with Machine Learning : a case study for the Maastricht upper area control centre area of responsibility [PDF]
, 2018 The uncertainty of the take-off time is a major contribution to the loss of trajectory predictability. At present, the Estimated Take-Off Time (ETOT) for each individual flight is extracted from the Enhanced Traffic Flow Management System (ETFMS ...
Ballerini, Franck +4 more
core