Results 61 to 70 of about 3,288,100 (328)
Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions
Traffic prediction plays an essential role in intelligent transportation system. Accurate traffic prediction can assist route planing, guide vehicle dispatching, and mitigate traffic congestion.
Xueyan Yin +5 more
semanticscholar +1 more source
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Deep packet: a novel approach for encrypted traffic classification using deep learning [PDF]
Network traffic classification has become more important with the rapid growth of Internet and online applications. Numerous studies have been done on this topic which have led to many different approaches.
M. Lotfollahi +3 more
semanticscholar +1 more source
Identification of anomaly and malicious traffic in the Internet-of-Things (IoT) network is essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT network.
M. Shafiq +4 more
semanticscholar +1 more source
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
Netml-ns3-click: Modeling of Routers in Netml/ns3 by means of the Click Modular Router
In this paper the design, development and use of a facility to run ns3 simulations, including Click routers, of networks constructed by the Netml system for analysis and design of networks in the cloud is described.
Ronald Addie, Joshua Natarajan
doaj +1 more source
Ways to go? (Un)sustainable school commuting in Majorna, Gothenburg city
Gothenburg city has bold ambitions of becoming carbon neutral. School commuting is one piece of the puzzle in reducing emissions. While the literature on school transportation is extensive, the issue of climate change has been overlooked.
Beniamin Knutsson, Sofie Hellberg
doaj +1 more source
Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment
Understanding mobile traffic patterns of large scale cellular towers in urban environment is extremely valuable for Internet service providers, mobile users, and government managers of modern metropolis.
Jin, Depeng +4 more
core +1 more source
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Traffic signal control is an emerging application scenario for reinforcement learning. Besides being as an important problem that affects people's daily life in commuting, traffic signal control poses its unique challenges for reinforcement learning in ...
Ding, Yaoyao +9 more
core +1 more source

