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A review on dynamic virtual machine consolidation approaches for energy-efficient cloud data centers
Cloud computing is vastly necessitated area of research where various groups of
autonomous arrangements and flexible computational architecture play a significant role in …
autonomous arrangements and flexible computational architecture play a significant role in …
Magnetic: Multi-agent machine learning-based approach for energy efficient dynamic consolidation in data centers
Improving the energy efficiency of data centers while guaranteeing Quality of Service (QoS),
together with detecting performance variability of servers caused by either hardware or …
together with detecting performance variability of servers caused by either hardware or …
The GNG neural network in analyzing consumer behaviour patterns: empirical research on a purchasing behaviour processes realized by the elderly consumers
K Migdał-Najman, K Najman, S Badowska - Advances in Data Analysis …, 2020 - Springer
The paper sheds light on the use of a self-learning GNG neural network for identification and
exploration of the purchasing behaviour patterns. The test has been conducted on the data …
exploration of the purchasing behaviour patterns. The test has been conducted on the data …
Beta scale invariant map
In this study we present a novel version of the Scale Invariant Map (SIM) called Beta-SIM,
developed to facilitate the clustering and visualization of the internal structure of complex …
developed to facilitate the clustering and visualization of the internal structure of complex …
Thermal management in large data centres: security threats and mitigation
Data centres are experiencing significant growth in their scale, especially, with the ever-
increasing demand for cloud and IoT services. However, this rapid growth has raised …
increasing demand for cloud and IoT services. However, this rapid growth has raised …
A novel ensemble beta-scale invariant map algorithm
This research presents a novel topology preserving map (TPM) called Weighted Voting
Supervision-Beta-Scale Invariant Map (WeVoS-Beta-SIM), based on the application of the …
Supervision-Beta-Scale Invariant Map (WeVoS-Beta-SIM), based on the application of the …
[PDF][PDF] Trust-ware: A methodology to analyze, design, and secure trust and reputation systems
DF Aydillo - 2015 - core.ac.uk
By collective intelligence we understand a form of intelligence that emerges from the
collaboration and competition of many individuals, or strictly speaking, many entities. Based …
collaboration and competition of many individuals, or strictly speaking, many entities. Based …
Beta Scale Invariant Map
H Quintián Pardo, ES Corchado Rodríguez - 2017 - gredos.usal.es
In this study we present a novel version of the Scale Invariant Map (SIM) called Beta-SIM,
developed to facilitate the clustering and visualization of the internal structure of complex …
developed to facilitate the clustering and visualization of the internal structure of complex …
Beta hebbian learning: definition and analysis of a new family of learning rules for exploratory projection pursuit
H Quitián Pardo - 2017 - gredos.usal.es
[EN] This thesis comprises an investigation into the derivation of learning rules in artificial
neural networks from probabilistic criteria.• Beta Hebbian Learning (BHL). First of all, it is …
neural networks from probabilistic criteria.• Beta Hebbian Learning (BHL). First of all, it is …
Trust-ware: a methodology to analyze, design, and secure trust and reputation systems
D Fraga Aydillo - 2015 - oa.upm.es
By collective intelligence we understand a form of intelligence that emerges from the
collaboration and competition of many individuals, or strictly speaking, many entities. Based …
collaboration and competition of many individuals, or strictly speaking, many entities. Based …