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Fundamenta Informaticae is an international journal publishing original research results in all areas of theoretical computer science. Papers are encouraged contributing:
- solutions by mathematical methods of problems emerging in computer science
- solutions of mathematical problems inspired by computer science.
Topics of interest include (but are not restricted to): theory of computing, complexity theory, algorithms and data structures, computational aspects of combinatorics and graph theory, programming language theory, theoretical aspects of programming languages, computer-aided verification, computer science logic, database theory, logic programming, automated deduction, formal languages and automata theory, concurrency and distributed computing, cryptography and security, theoretical issues in artificial intelligence, machine learning, pattern recognition, algorithmic game theory, bioinformatics and computational biology, quantum computing, probabilistic methods, & algebraic and categorical methods.
Authors: Kalamani, P. | Mallika Arjunan, M. | Mallika, D. | Baleanu, D.
Article Type: Research Article
Abstract: Based on concepts for semigroup theory, fractional calculus, Banach contraction principle and Krasnoselskii fixed point theorem (FPT), this manuscript is principally involved with existence results of Riemann-Liouville (RL) fractional neutral integro-differential systems (FNIDS) with nonlocal conditions (NLCs) in Banach spaces. An example is offered to demonstrate the theoretical concepts.
Keywords: Fractional order integro-differential equations, Riemann-Liouville fractional derivatives, fixed point, semigroup theory
DOI: 10.3233/FI-2017-1506
Citation: Fundamenta Informaticae, vol. 151, no. 1-4, pp. 487-504, 2017
Authors: Wang, Shuihua | Yang, Ming | Li, Jianwu | Wu, Xueyan | Wang, Hainan | Liu, Bin | Dong, Zhengchao | Zhang, Yudong
Article Type: Research Article
Abstract: To detect the sensorineural hearing loss (SNHL) from healthy people accurately, we used magnetic resonance imaging (MRI) to obtain the imaging data, and then proposed a new computer-aided diagnosis (CAD) system, on the basis of texture analysis method. In the first, we extracted 12-element feature from each brain image via fractional Fourier entropy (FRFE). Afterwards, multilayer perceptron (MLP) was employed as the classifier, which was trained by a novel fitness-scaling adaptive genetic algorithm (FSAGA). The statistical analysis over 49 subjects showed the overall accuracy of our method yielded 95.51%. Experimental results performed better than four state-of-the-art weight optimization methods, and …this CAD system give significantly better performance than manual interpretation. Show more
Keywords: texture analysis, fractional Fourier entropy, power-rank fitness scaling, sensorineural hearing loss, genetic algorithm
DOI: 10.3233/FI-2017-1507
Citation: Fundamenta Informaticae, vol. 151, no. 1-4, pp. 505-521, 2017
Authors: Sharmaa, J. B. | Sharma, K.K. | Purohit, S.D. | Atangana, Abdon
Article Type: Research Article
Abstract: Watermarking is proposed as solution to authentication, copyright protection and security requirements of multimedia objects (speech, image and video). In this paper a watermarking scheme based on finite radon transform (FRAT), fractional Fourier Transform (FRFT) and singular value decomposition is proposed. In the proposed scheme, image to be watermarked is first transformed by finite radon transform, the radon transformed image is further transformed by FRFT, and singular values of FRFT transformed image are modified to embed the watermark. Inverse transformation is applied to obtain watermarked image. Simulations are performed under various test conditions with different FRFT transform angles for improved …robustness and visual transparence of watermarked image. Results of the proposed scheme are better in comparison to the existing schemes for most of the attacks. Proposed scheme provide additional degree of freedom in security, robustness, payload capacity and visual transparence. Proposed scheme can also be used to communicate or store the watermarked image as erasure code, to reduce communication errors over a network, due to the use of FRAT. Show more
Keywords: Image watermarking, Fractional Fourier transform, Finite Radon transforms, Singular Value Decomposition
DOI: 10.3233/FI-2017-1508
Citation: Fundamenta Informaticae, vol. 151, no. 1-4, pp. 523-543, 2017
Article Type: Other
Citation: Fundamenta Informaticae, vol. 151, no. 1-4, pp. 545-548, 2017
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