Results 231 to 240 of about 3,781,586 (272)

The abstracts of VIII National Congress AdET (Accademia di Ecografia Toracica). [PDF]

Multidiscip Respir Med
Various Authors.
europepmc   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source

The hippocampus as a generative model. [PDF]

Philos Trans R Soc Lond B Biol Sci
Nalluru S, Glitz L, Przygodda X, Mancini V, Barron HC.   +4 more
europepmc   +1 more source

From destruction to restoration: total hip arthroplasty in advanced hip joint tuberculosis. A case report. [PDF]

Eur J Transl Myol
Tzachev N, Papathanasiou J, Milev R, Ivanov P, Hariskov N, Ginev P, Tsitou VM.   +6 more
europepmc   +1 more source

Brain and Immune System Part II-An Integrative View upon Spatial Orientation, Learning, and Memory Function. [PDF]

Int J Mol Sci
Schirrmacher V.
europepmc   +1 more source

EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environments. [PDF]

Sci Rep
Khan A, Ullah F, Shah D, Khan MH, Ali S, Tahir M.   +5 more
europepmc   +1 more source

Efficacy of Huoxue Tongqiao Decoction combined with aniracetam in treating post-stroke cognitive impairment in elderly patients with ischemic stroke and its effects on serum levels of superoxide dismutase, glutathione peroxidase and nitric oxide. [PDF]

Pak J Med Sci
Xu J, Bai X, Wang H, Li J, Cai P.
europepmc   +1 more source

Middle-Range Theory for Risk-Prone Health Behavior in College Students. [PDF]

Rev Bras Enferm
Mota PLF, Machado LDS, Bezerra AM, Farias MS, Silva VMD, Brito NS.   +5 more
europepmc   +1 more source

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Evaluation of cluster K-Means as VM selection in dynamic VM consolidation

2016 22nd Asia-Pacific Conference on Communications (APCC), 2016
The paper focused on the evaluation of K-Means as VM Selection in Dynamic VM Consolidation. The research has compared the performance of several numbers of cluster K-Means in VM selection with another method such as Minimum Migration Time (MMT) and Random Choice (RC).
Guruh Fajar Shidik, Nani Sri Sulistyowati, Manggiardi B. W. Tirta   +2 more
openaire   +1 more source

Efficient VM Selection Heuristics for Dynamic VM Consolidation in Cloud Datacenters

2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom), 2018
Dynamic Consolidation of Virtual Machines (VMs) in a cloud data center requires live migration of VMs from over-utilized hosts. A primary but relatively an ignored part of consolidation process is the efficient selection of Virtual Machines from an over-utilized host for migration. Two VM selection policies, Threshold Based Selection (TBS) and Capacity
Hammad Qaiser, Gao Shu
openaire   +2 more sources