Results 131 to 140 of about 110,511 (268)
Efficient service mesh traffic management for cloud-native applications. [PDF]
Ahmed R, Ren S, Kim E, Lee C.
europepmc +1 more source
When the River Runs Low: Heterogeneous Impacts of Transportation Disruptions on Local Grain Basis
ABSTRACT A substantial share of U.S. soybean and corn exports from the Midwest moves by barge along the Mississippi River system to export terminals in the Louisiana Gulf. Transportation costs between Midwestern grain elevators and export terminals create a wedge between prices at these locations, and shocks to these costs are partially passed on to ...
Yuan Zhang +3 more
wiley +1 more source
Optimal deep neural network based road traffic management system for Internet of Things based smart city environment. [PDF]
Almejalli KA.
europepmc +1 more source
Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley +1 more source
Advancements in accident-aware traffic management: a comprehensive review of V2X-based route optimization. [PDF]
Zohir HM +3 more
europepmc +1 more source
Dynamic RFID Identification in Urban Traffic Management Systems. [PDF]
Pawłowicz B +3 more
europepmc +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Efficient traffic management with adaptive SDN in vehicular networks. [PDF]
Rajan SJ +8 more
europepmc +1 more source
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
IoT-Enabled Adaptive Traffic Management: A Multiagent Framework for Urban Mobility Optimisation. [PDF]
Mutambik I.
europepmc +1 more source

