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Journal of Algorithms & Computational Technology is a peer-reviewed journal published by SAGE, covering Advanced Numerical Methods in Computational Mathematics, Face and Expression Recognition, Image and Signal Denoising Methods.
| Publisher | SAGE |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Journal of Algorithms & Computational Technology, 12(3), pp. 45–58.
Formats any DOI in Journal of Algorithms & Computational Technology style. No sign-up. |
| Publishes research in | Advanced Numerical Methods in Computational Mathematics Face and Expression Recognition Image and Signal Denoising Methods Medical Image Segmentation Techniques Fractional Differential Equations Solutions |
| ISSN | 1748-3018 |
| Citation impact (2-yr) | 2.11 |
| h-index | 28 |
| i10-index | 110 |
| Total citations | 4,123 |
| Article processing charge | $1,200 |
| Open access | Yes |
| Top institutions publishing here | Fuzhou University |
| Journal website | us.sagepub.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Breast cancer is the second most leading cancer occurring in women compared to all other cancers. Around 1.1 million cases were recorded in 2004. Observed rates of this cancer increase with industrialization and urbanization and also with facilities for early detection. It remains much more common in high-income countries but is now increasing rapidly in…
Analyzing the energy performance in a building is an important task in energy conservation. To accurately predict the energy consumption is difficult in practice since the building is a complex system with many parameters involved. To obtain enough historical data of energy uses and to find out an approach to analyze them become mandatory. In…
Feature Selection is one of the preprocessing steps in machine learning tasks. Feature Selection is effective in reducing the dimensionality, removing irrelevant and redundant feature. In this paper, we propose a new feature selection algorithm (Sigmis) based on Correlation method for handling the continuous features and the missing data. Empirical comparison with three existing feature…
Machine learning methods are widely studied and applied to predict building energy consumption. Since the factors associated with building energy behaviors are quite abundant and complex, this paper investigates for the first time how the selection of subsets of features influence the model performance when statistical learning method is adopted to derive the model. In…
In order to detect fire automatically, a forest fire image recognition method based on convolutional neural networks is proposed in this paper. There are two main types of fire recognition algorithms. One is based on traditional image processing technology and the other is based on convolutional neural network technology. The former is easy to lead…
