Long-term time series prediction with the NARX network: An empirical evaluation
JMP Menezes Jr, GA Barreto - Neurocomputing, 2008 - Elsevier
The NARX network is a dynamical neural architecture commonly used for input–output
modeling of nonlinear dynamical systems. When applied to time series prediction, the NARX …
modeling of nonlinear dynamical systems. When applied to time series prediction, the NARX …
Optimal base station slee** in green cellular networks: A distributed cooperative framework based on game theory
This paper proposes a distributed cooperative framework for improving the energy efficiency
of green cellular networks. Based on the traffic load, neighboring base stations (BSs) …
of green cellular networks. Based on the traffic load, neighboring base stations (BSs) …
Traffic-aware buffer management in shared memory switches
Switch buffer serves an important role in the modern internet. To achieve efficiency, today's
switches often use on-chip shared memory. Shared memory switches rely on buffer …
switches often use on-chip shared memory. Shared memory switches rely on buffer …
Modelling and analysis of priority queueing systems with multi-class self-similar network traffic: A novel and efficient queue-decomposition approach
Traffic self-similarity has been discovered to be a ubiquitous phenomenon in communication
networks and multimedia systems. Due to its fractal-like nature, performance modelling of …
networks and multimedia systems. Due to its fractal-like nature, performance modelling of …
Learning buffer management policies for shared memory switches
Today's network switches often use on-chip shared memory to improve buffer efficiency and
absorb bursty traffic. Current buffer management practices usually rely on simple heuristics …
absorb bursty traffic. Current buffer management practices usually rely on simple heuristics …
L2bm: Switch buffer management for hybrid traffic in data center networks
With Remote Direct Memory Access (RDMA) extended to commercial Ethernet, modern Data
Center Networks (DCNs) carry both traditional TCP and RDMA, to support diversified …
Center Networks (DCNs) carry both traditional TCP and RDMA, to support diversified …
[PDF][PDF] Simulation of M/M/1 queuing system using ANN
MS Sundari, S Palaniammal - Malaya Journal of Mathematik, S, 2015 - malayajournal.org
Successful formulation of queuing systems, where packets arrive, wait in various queues,
receive service and exit after some time depends on the nature of the arrival rate, service …
receive service and exit after some time depends on the nature of the arrival rate, service …
Performance analysis of priority scheduling mechanisms under heterogeneous network traffic
Priority scheduling principle plays a crucial role in the Differentiated Services (DiffServ)
architecture for the provisioning of Quality-of-Service (QoS) of network-based applications …
architecture for the provisioning of Quality-of-Service (QoS) of network-based applications …
Capacity augmentation of 3G cellular networks: a deep learning approach
H Yousefi'zadeh, A Albanna - US Patent 10,217,060, 2019 - Google Patents
Optimal enhancement of 3G cellular network capacity uti lizes two components of learning
and optimization. First, a pair of learning approaches are used to model cellular network …
and optimization. First, a pair of learning approaches are used to model cellular network …
Lossless image coding using adaptive, switching algorithm with automatic fuzzy context modelling
A switching adaptive predictor (SWAP) with automatic fuzzy context modelling is proposed
for lossless image coding. Depending on the context of the coding pixel, the SWAP encoder …
for lossless image coding. Depending on the context of the coding pixel, the SWAP encoder …