Results 1 to 10 of about 247,491 (312)
Developing and Evaluation of New Hybrid Encryption Algorithms [PDF]
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 2014 Wireless Sensor networks consist of hundreds or thousands of low cost, low power and self-organizing nodes which are highly distributed. As wireless sensor networks continue to grow, so does the need for effective security mechanisms because sensor networks may interact with sensitive data.
DiaaSalama AbdElminaam +3 more
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Arab Journal of Basic and Applied Sciences, 2023 Lucas-Lehmer test is the current standard algorithm used for testing the primality of Mersenne numbers, but it may have limitations in terms of its efficiency and accuracy.
Moustafa Ibrahim
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Development of a new lightweight encryption algorithm
Eastern-European Journal of Enterprise Technologies, 2023 Lightweight encryption algorithms are considered a relatively new direction in the development of private key cryptography. This need arose as a result of the emergence of a large number of devices with little computing power and memory. Therefore, it became necessary to develop algorithms that can provide a sufficient level of security, with minimal ...
Nursulu Kapalova +2 more
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New developments of the Z-EDM algorithm [PDF]
Sixth International Conference on Intelligent Systems Design and Applications, 2006 In this paper we address some open questions on the recently proposed Zero-Error Density Maximization algorithm for MLP training. We propose a new version of the cost function that solves a training problem encountered in previous work and prove that the use of a nonparametric density estimator preserves the optimal solution.
Luís M. Silva +2 more
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Trustworthy Predictive Algorithms for Complex Forest System Decision-Making
Frontiers in Forests and Global Change, 2021 Advances in predictive algorithms are revolutionizing how we understand and design effective decision support systems in many sectors. The expanding role of predictive algorithms is part of a broader movement toward using data-driven machine learning (ML)
Pushpendra Rana +2 more
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New methods for developing parallel algorithms of direct search in numerical optimization [PDF]
مجلة التربية والعلم, 2013 The Purpose of this research is the development Direct Search Methods for minimizing the objective function; The Developed Methods reduces the approach time to the minimum through two techniques: 1) by reducing the number of function evaluation.
Firas Mahmood Saeed +1 more
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Synthesis of Fault-Tolerant Reliable Broadcast Algorithms With Reinforcement Learning
IEEE Access, 2023 Fault-tolerant algorithms, such as Reliable Broadcast, assure the correct operation of modern distributed systems, even when some of the system nodes fail.
Diogo Vaz +3 more
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Developing New Colored Dissolved Organic Matter Retrieval Algorithms Based on Sparse Learning
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Colored dissolved organic matter (CDOM) is an important biochemical state indicator of aquatic ecosystems. However, its retrieval from remote sensing datasets remains a challenging task due to its high spatiotemporal variability and interference from ...
Ruihao Zhang +6 more
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Multi-Purpose Dataset of Webpages and Its Content Blocks: Design and Structure Validation
Applied Sciences, 2021 The need for automated data extraction is continuously growing due to the constant addition of information to the worldwide web. Researchers are developing new data extraction methods to achieve increased performance compared to existing methods ...
Kiril Griazev, Simona Ramanauskaitė
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A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil
Scientific Reports, 2021 The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and the effective allocation of healthcare resources. An accurate prognostic assessment is necessary to improve survival of patients, especially in developing countries ...
Fernando Timoteo Fernandes +5 more
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