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Computation, Volume 7, Issue 1

2019 March - 19 articles

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Articles (19)

  • Article
  • Open Access
15 Citations
4,010 Views
17 Pages

In recent times, the subject of effective cooling have become an interesting research topic for electronic and mechanical engineers due to the increased miniaturization trend in modern electronic systems. However, fins are useful for cooling various...

  • Article
  • Open Access
26 Citations
5,059 Views
27 Pages

Development of Simple-To-Use Predictive Models to Determine Thermal Properties of Fe2O3/Water-Ethylene Glycol Nanofluid

  • Mohammad Hossein Ahmadi,
  • Ali Ghahremannezhad,
  • Kwok-Wing Chau,
  • Parinaz Seifaddini,
  • Mohammad Ramezannezhad and
  • Roghayeh Ghasempour

Thermophysical properties of nanofluids play a key role in their heat transfer capability and can be significantly affected by several factors, such as temperature and concentration of nanoparticles. Developing practical and simple-to-use predictive...

  • Article
  • Open Access
1 Citations
6,146 Views
19 Pages

Extreme Multiclass Classification Criteria

  • Anna Choromanska and
  • Ish Kumar Jain

We analyze the theoretical properties of the recently proposed objective function for efficient online construction and training of multiclass classification trees in the settings where the label space is very large. We show the important properties...

  • Article
  • Open Access
11 Citations
5,645 Views
16 Pages

A precise estimation of the bubble size distribution (BSD) is required to understand the fluid dynamics in gas-liquid bubble columns at the “bubble scale,” evaluate the heat and mass transfer rate, and support scale-up approaches. In this...

  • Article
  • Open Access
13 Citations
5,521 Views
16 Pages

Multi Similarity Metric Fusion in Graph-Based Semi-Supervised Learning

  • Saeedeh Bahrami,
  • Alireza Bosaghzadeh and
  • Fadi Dornaika

In semi-supervised label propagation (LP), the data manifold is approximated by a graph, which is considered as a similarity metric. Graph estimation is a crucial task, as it affects the further processes applied on the graph (e.g., LP, classificatio...

  • Article
  • Open Access
11 Citations
4,324 Views
11 Pages

This study adopts the flow shop concept used in industrial production to schedule repetitive non-linear construction projects, where specialized groups of workers execute processes in work zones (buildings) in a predefined order common to all groups....

  • Article
  • Open Access
62 Citations
7,925 Views
13 Pages

An Innovative Deep Learning Algorithm for Drowsiness Detection from EEG Signal

  • Francesco Rundo,
  • Sergio Rinella,
  • Simona Massimino,
  • Marinella Coco,
  • Giorgio Fallica,
  • Rosalba Parenti,
  • Sabrina Conoci and
  • Vincenzo Perciavalle

The development of detection methodologies for reliable drowsiness tracking is a challenging task requiring both appropriate signal inputs and accurate and robust algorithms of analysis. The aim of this research is to develop an advanced method to de...

  • Article
  • Open Access
168 Citations
11,160 Views
20 Pages

EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization

  • Jingwei Too,
  • Abdul Rahim Abdullah,
  • Norhashimah Mohd Saad and
  • Weihown Tee

Due to the increment in hand motion types, electromyography (EMG) features are increasingly required for accurate EMG signals classification. However, increasing in the number of EMG features not only degrades classification performance, but also inc...

  • Article
  • Open Access
9 Citations
3,577 Views
13 Pages

Parameter estimation is of paramount importance in every digital receiver. This is not only true for radio, but also for optical links; otherwise, subsequent processing stages, like detector units or error correction schemes, could not be operated re...

  • Article
  • Open Access
12 Citations
4,905 Views
13 Pages

Probabilistic Fatigue Life Prediction of Dissimilar Material Weld Using Accelerated Life Method and Neural Network Approach

  • Hafiz Waqar Ahmad,
  • Jeong Ho Hwang,
  • Kamran Javed,
  • Umer Masood Chaudry and
  • Dong Ho Bae

Welding alloy 617 with other metals and alloys has been receiving significant attention in the last few years. It is considered to be the benchmark for the development of economical hybrid structures to be used in different engineering applications....

  • Article
  • Open Access
10 Citations
6,426 Views
23 Pages

Parallel multiphysics simulations often suffer from load imbalances originating from the applied coupling of algorithms with spatially and temporally varying workloads. It is, thus, desirable to minimize these imbalances to reduce the time to solutio...

  • Article
  • Open Access
6 Citations
6,080 Views
19 Pages

This research answers the following question: What is the fluid dynamic behavior of a supercritical fluid (SCF) inside a membrane module? At this time, there is very little or no reported information that can provide an answer to this question. The r...

  • Article
  • Open Access
5 Citations
5,437 Views
25 Pages

Optical Boundaries for LED-Based Indoor Positioning System

  • Olaoluwa Rotimi Popoola,
  • Sinan Sinanović,
  • Wasiu O. Popoola and
  • Roberto Ramirez-Iniguez

Overlap of footprints of light emitting diodes (LEDs) increases the positioning accuracy of wearable LED indoor positioning systems (IPS) but such an approach assumes that the footprint boundaries are defined. In this work, we develop a mathematical...

  • Article
  • Open Access
4 Citations
4,568 Views
18 Pages

Reduction Potential Predictions for Some 3-Aryl-Quinoxaline-2-Carbonitrile 1,4-Di-N-Oxide Derivatives with Known Anti-Tumor Properties

  • Eric M. Miller,
  • Cody J. Brazel,
  • Krystina A. Brillos-Monia,
  • Philip W. Crawford,
  • Hannah C. Hufford,
  • Michael R. Loncaric,
  • Monica N. Mruzik,
  • Austin W. Nenninger and
  • Christina M. Ragain

The ability for DFT: B3LYP calculations using the 6-31g and lanl2dz basis sets to predict the electrochemical properties of twenty (20) 3-aryl-quinoxaline-2-carbonitrile 1,4-di-N-oxide derivatives with varying degrees of cytotoxic activity in dimethy...

  • Article
  • Open Access
42 Citations
10,121 Views
20 Pages

Advanced Markov-Based Machine Learning Framework for Making Adaptive Trading System

  • Francesco Rundo,
  • Francesca Trenta,
  • Agatino Luigi Di Stallo and
  • Sebastiano Battiato

Stock market prediction and trading has attracted the effort of many researchers in several scientific areas because it is a challenging task due to the high complexity of the market. More investors put their effort to the development of a systematic...

  • Article
  • Open Access
4 Citations
6,681 Views
17 Pages

The Impact of Stochasticity and Its Control on a Model of the Inflammatory Response

  • Panteleimon D. Mavroudis,
  • Jeremy D. Scheff,
  • John C. Doyle,
  • Yoram Vodovotz and
  • Ioannis P. Androulakis

The dysregulation of inflammation, normally a self-limited response that initiates healing, is a critical component of many diseases. Treatment of inflammatory disease is hampered by an incomplete understanding of the complexities underlying the infl...

  • Article
  • Open Access
15 Citations
4,898 Views
13 Pages

Thermal Behavior of a Building with Incorporated Phase Change Materials in the South and the North Wall

  • Maria T. Plytaria,
  • Christos Tzivanidis,
  • Evangelos Bellos,
  • Ioannis Alexopoulos and
  • Kimon A. Antonopoulos

Energy consumption in the building sector is responsible for a very large amount of electricity consumption worldwide. The reduction of this consumption is a crucial issue in order to achieve sustainability. The objective of this work is to investiga...

  • Article
  • Open Access
3 Citations
6,074 Views
28 Pages

In this paper, the performance of the optimal beam radius indoor positioning (OBRIP) and two-receiver indoor positioning (TRIP) algorithms are analysed by varying system parameters in the presence of an indoor optical wireless channel modelled in lin...

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Computation - ISSN 2079-3197