The growing use of the Internet in every life area creates an emerging need to provide information security (IS), and numerous classification algorithms approach this problem. This study provides a systematic literature review on the classification algorithms applications for information security on the ...
This review uses content analysis to answer three research questions namely: 1- What SCM problems have been solved by the use of DL techniques? 2- What DL algorithms have been used to solve these problems? 3- What alternative algorithms have been used to tackle the same problems? And do ...
Classification of a class ofA3MDSMDScode and applications in secret-sharing schemes Bandana Pandeyand Prabal Paul Vol. 16, No. 07 Co-normal products and modular products of soft graphs Bobin George, Jinta Jose, and Rajesh K. Thumbakara ...
2.A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends.Jie Gui, Tuo Chen, Jing V. R. de Sa, “Learning classification with unlabeled data,” inNeural Inf. Process. Syst., pp. 112–119, 1994 Devlin, Jacob et al. “BERT:Pre-trainingof Deep Bidirectional Transf...
Hybridization of soft-computing algorithms with neural network for prediction obstructive sleep apnea using biomedical sensor measurements Chyad, Mustafa Habeeb; Gharghan, Sadik Kamel; Hamood, Haider Qasim; Altayyar, Ahmed Saleh Hameed; Zubaidi, Salah L.; Ridha, Hussein Mohammed 2022 2022, vol.34...
Charpin, P. (1989). Some applications of a classification of affine-invariant codes. In: Huguet, L., Poli, A. (eds) Applied Algebra, Algebraic Algorithms and Error-Correcting Codes. AAECC 1987. Lecture Notes in Computer Science, vol 356. Springer, Berlin, Heidelberg. https://doi.org/10.1...
This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithms in groups according to some specific baseline methodologies such as hierarchical, center-based, and ...
Neural networks were applied to the classification oftwo types ofacoustic emission (AE) events crack growth andfretting a simulated aiiframejoint specimen. Signals were obtainedfromfour sensors at different locations on the test specimen. Multilayered neural networks were trained to classify the signals...
Classification models use machine learning to place data into categories or classes based on criteria set by a user. There are several types of classification algorithms, some of which are: Logistic regression: An estimate of an event occurring, usually a binary classification such as a yes or n...
Constructed tree can be then used for classification of new observations. The first part of the thesis describes fundamental principles of tree construction, different splitting algorithms and pruning procedures. Second part of the paper answers the questions why should we use or should not use the ...