Migration-based load balance of virtual machine servers in cloud computing by load prediction using genetic-based methods

LH Hung, CH Wu, CH Tsai, HC Huang - IEEE Access, 2021 - ieeexplore.ieee.org
This paper presents a two-stage genetic mechanism for the migration-based load balance of
virtual machine hosts (VMHs) in cloud computing. Previous methods usually assume this …

Quantum extreme learning of molecular potential energy surfaces and force fields

GL Monaco, M Bertini, S Lorenzo… - … Learning: Science and …, 2024 - iopscience.iop.org
Quantum machine learning algorithms are expected to play a pivotal role in quantum
chemistry simulations in the immediate future. One such key application is the training of a …

A study on GPS GDOP approximation using support-vector machines

CH Wu, WH Su, YW Ho - IEEE Transactions on Instrumentation …, 2010 - ieeexplore.ieee.org
Global Positioning System (GPS) has extensively been used in various fields. Geometric
Dilution of Precision (GDOP) is an indicator showing how well the constellation of GPS …

Responding to agitation in people with dementia

J Dewing - Nursing older people, 2010 - journals.rcni.com
Agitation is a symptom rather than a condition and thus an indicator of, for example, unmet
care needs or biopsychosocial problems. Non-pharmacological interventions are the first …

Trends in symptom prevalence and sequential onset of SARS-CoV-2 infection from 2020 to 2022 in East and Southeast Asia: a trajectory pattern exploration based on …

T Song, J Guo, B Liu, L Yang, X Dai, F Zhang… - Archives of Public …, 2024 - Springer
Background The COVID-19 pandemic's diverse symptomatology, driven by variants,
underscores the critical need for a comprehensive understanding. Employing stochastic …

Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union

R Bunker, K Fujii, H Hanada, I Takeuchi - PloS one, 2021 - journals.plos.org
Given a set of sequences comprised of time-ordered events, sequential pattern mining is
useful to identify frequent subsequences from different sequences or within the same …

[PDF][PDF] Performance tuning of K-mean clustering algorithm a step towards efficient DSS

AE Khedr, AI El Seddawy, AM Idrees - International Journal of …, 2014 - academia.edu
This research is the first step in building an efficient Decision Support System (DSS) which
employs Data Mining (DM) predictive, classification, clustering, and association rules …

[PDF][PDF] Enhanced K-mean algorithm to improve decision support system under uncertain situations

AB El Seddawy, T Sultan, AE Khedr - International Journal of Computer …, 2013 - Citeseer
Decision Support System (DSS) is equivalent synonym as management information systems
(MIS). Most of imported data are being used in solutions like data mining (DM). Decision …

Efficient representation learning of scintillation signal characteristics with spectrum-inspired temporal neural networks

P Ai, X Sun, Z Deng, X Ran - arxiv preprint arxiv:2410.07267, 2024 - arxiv.org
Nuclear radiation detectors based on scintillators are widely used in particle and high
energy physics experiments, nuclear medicine imaging, industrial and environmental …

[PDF][PDF] Impact of evaluation methods on decision tree accuracy

B Baykara - 2015 - core.ac.uk
The decision tree inducers were tested with Leave-one-out, 5-Fold Cross Validation, 10-Fold
Cross Validation, Holdout 50 split and Holdout 66 split evaluation methods. According to the …