Short term load forecasting based on hybrid artificial neural networks and particle swarm optimisation by Shezi, Ellen

“…Short term load forecasts have been conducted by using various CI methods such as Artificial Neural Networks (ANNs), Genetic Algorithms (GAs), Fuzzy Logic (FL), Expert Systems (ES), and Particle Swarm Optimisation (PSO). Hybrid versions of these methods, where two or more CI methods are amalgamated in a process to forecast future load, have also been used. iv In this research, a traditional forecasting technique, Multiple Linear Regression (MLR), was compared with a CI technique, Artificial Neural Networks. …”
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Soluble expression of plasmodium falciparum glutamine synthetase and three-dimensional structure by single particle reconstruction by Patel, Satishkumar Ishverlal

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Improving the selectivity of the radio-labelling of ion exchange resin tracers for positron emission particle tracking by Van Heerden, Michael Rudi

“…Positron emission particle tracking (PEPT) is a technique which non-invasively tracks tracer particles labelled with a positron emitting radionuclide in a system of flow. …”
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The study of intermetallic particles in aluminium alloy AA3104 can-body stock during homogenisation by Magidi, Livhuwani Tessa

“…A particle extraction setup is then used to extract intermetallic particles from the bulk specimen by dissolving Al matrix in dry butanol and those particles are analysed. …”
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Heavy-flavour production at forward rapidity as a function of charged-particle multiplicity with ALICE at the LHC by Mhlanga, Sibaliso

“…They are produced in the early stages of ultra-relativistic collisions via hard scatterings and are important tools for studying different aspects of Quantum Chromodynamics (QCD) in hadronic collisions. Charged-particle multiplicity gives information on the global characteristics of the event and could be used to characterize particle production mechanisms. …”
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Circulation rate modelling of tumbling mill charge using positron emission particle tracking (PEPT) by Von Kallon, Daramy Vandi

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Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation

Subjects: “…Particle swarm optimization (PSO)…”
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Particle size segregation and excess pore water pressure with respect to rate of rise of tailings dams

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The effect of maize and soybean oil cake particle size on broiler growth performance and gastrointestinal development

Subjects: “…Maize particle size…”
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Modelling the spread of waterborne disease in salmon farms by means of a Lagrangian particle tracking model by Kennealy, Meghan

Subjects: “…Particle tracking velocimetry…”
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The development of biosorbents from agricultural waste sources for the separation of fat-based particles from water by Swart, Marli

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A comparative examination of fine particle solid suspension in mechanically agitated flat-bottomed tanks. by Halstead, Andrew Robert

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Fractal analysis and drag-resistance modelling of unconsolidated porous media with inclusion of particle surface roughness by Van Velden, Rocco Joubert

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Synthesis, characterization and testing of nano-structured particles for effective impact modification of glassy amorphous polymers by Van Zyl, A. J. P. (Andries Jakobus Petrus)

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Surface modified cross-linked poly(vinyl alcohol)/poly(vinyl pivalate) suspension particles by D Aguiar, Donna-Leigh

Subjects: “…Polymer particles…”
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Differential Elliptic Flow Analysis of Hadrons with Different Wuark Content in Simulated pp Collisions by Osama, Elhussein

Subjects: “…particle physics…”
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A Unified Inventory Model with Production Cost under Negative Exponential Demand, Weibull Deterioration and Partial Backlogging

“…Journal Article…”
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Factors associated with contralateral renal parenchymal volume changes after partial nephrectomy: A retrospective cohort study

“…Journal Article…”
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Partial Recovery of Anosmia Since Childhood With Acquired Parosmia: Mechanistic Insights and Therapeutic Implications—A Case Report

“…Journal Article…”
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