A maximum spanning tree-based dynamic fuzzy supervised neural network architecture for classification of murder cases

Theresa, M. M. Janeela; Raj, Vishnu

doi:10.1007/s00500-015-1645-1

Cited by 7 publications

(1 citation statement)

References 19 publications

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“…Machine learning is used for the solution of LPP with bounded variable. The patterns of LPP are generated and given to the machine learning technique for classification [3].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Solution for Relaxation Oscillation Equation

Kalaiyarasi,

V. Joseph Raj,

Sindu Devi

et al. 2024

Contemp. Math.

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In this paper Artificial Intelligence Solution is given for Relaxation Oscillation Equation, which is one of the simplest Fractional Differential Equation.Artificial Intelligence solution has been identified as the best one for fractional differential equation. Sample for patterns of fractional different equation are extracted. The better performance of Machine Learning Models is compared with the Numerical solution of Successive Approximation Method and reported.

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“…Machine learning is used for the solution of LPP with bounded variable. The patterns of LPP are generated and given to the machine learning technique for classification [3].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Solution for Relaxation Oscillation Equation

Kalaiyarasi,

V. Joseph Raj,

Sindu Devi

et al. 2024

Contemp. Math.

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An intelligent character recognition method to filter spam images on cloud

et al. 2015

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Cloud storage has become an important way for data sharing in recent years. Data protection for data owner and harmful data filtering for data recipients are two nonnegligible problems in cloud storage. Illegal or unsuitable messages on cloud have a negative impact on minors and they are easily converted into images to avoid text-based filtering. To detect the spam image with the embedded harmful messages on cloud, soft computing methods are required for intelligent character recognition. HOG, proposed by Dalal and Triggs, has been demonstrated so far to be one of the best features for intelligent character recognition. A pre-defined sliding window is always used for the generation of candidate character images when HOG is applied to recognize the whole word. However, due to the difference in character sizes, the pre-defined window cannot exactly match with each character. Variations on scale and translation usually occur in the character image to be recognized, which have a great influence on the performance of intelligent character recognition. Aiming to solve this problem, STRHOG, an extended version of HOG, is proposed in this paper. Experiments on two public datasets and one our dataset have shown encouraging results for our work. The improved intelligent character recognition is helpful for filtering spam images on cloud. To make a fair comparison with other methods, nearest neighbor classifier is used for the intelligent character recognition. It is expected that the performance should be further improved by using better classifiers such as fuzzy neural network.

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Feature selection generating directed rough-spanning tree for crime pattern analysis

Das

Nayak³

2018

Neural Comput & Applic

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A maximum spanning tree-based dynamic fuzzy supervised neural network architecture for classification of murder cases

Cited by 7 publications

References 19 publications

Artificial Intelligence Solution for Relaxation Oscillation Equation

Artificial Intelligence Solution for Relaxation Oscillation Equation

An intelligent character recognition method to filter spam images on cloud

Feature selection generating directed rough-spanning tree for crime pattern analysis

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