Results 291 to 300 of about 8,082,222 (392)

Alloys with an exceptional combination of strength and ductility. [PDF]

Sci Adv
Ma E.
europepmc   +1 more source

A digital twin model for grain enterprise financial shared service centers based on distributed deep learning and neural symbolic reasoning. [PDF]

Sci Rep
Wei Y.
europepmc   +1 more source

AI-Assisted Composite Etch Model for MPT. [PDF]

Micromachines (Basel)
Gong Y, Zhao F, Sima D, Li W, Guo Y, Hu C, Zhang S.   +6 more
europepmc   +1 more source

A Transonic Wind-tunnel Investigation of the Effects of Body Indentation, as Specified by the Transonic Drag-rise Rule, on the Aerodynamic Characteristics and Flow Phenomena of an Unswept-wing-body Combination

, 1953
Claude V. Williams
openalex   +1 more source

Detection of risk levels in optical mark recognition exams using categorical feature-based machine learning models. [PDF]

Sci Rep
Sancar Y.
europepmc   +1 more source

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Q-Flag: QoS-Aware Flow-Rule Aggregation in Software-Defined IoT Networks

IEEE Internet of Things Journal, 2022
Software-defined IoT (SDIoT) is a promising approach to address the requirements of the Internet of Things (IoT), such as network management, Quality of Service (QoS), and resource utilization. The advantages of SDIoT are facilitated by the separation of
Niloy Saha, S. Misra, Samaresh Bera
semanticscholar   +1 more source

TSSBV: A Conflict-Free Flow Rule Management Algorithm in SDN Switches

IEEE Vehicular Technology Conference, 2021
Software-Defined Network (SDN) radically changes the network architecture in a mobile broadband network by decoupling the network logic from the underlying forwarding devices.
Qizhao Zhou, Junqing Yu, Dong Li
semanticscholar   +1 more source

FlowStat: Adaptive Flow-Rule Placement for Per-Flow Statistics in SDN

IEEE Journal on Selected Areas in Communications, 2019
In this paper, we propose an adaptive flow-rule placement scheme, FlowStat, in a software-defined network (SDN) with an aim to provide per-flow statistics to SDN controller while enhancing overall network performance.
Samaresh Bera, S. Misra, A. Jamalipour
semanticscholar   +1 more source