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BiBitcoin Price Prediction using Recurrent Neural Networks and Long Short-Term Memory

• Authors : Sudhakaran Pradeep; Sharma Vaibhav; Khandelwa Shreyanshi

Subjects: bitcoin; decentralization of cryptocurrency; long short-term memory (lstm)

• Source: E3S Web of Conferences, Vol 491, p 03001 (2024)

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Fission trajectory analysis using ML techniques.

• Authors : Mukobara, Yuta; Chiba, Satoshi; Fujio, Kazuki

Subjects: NUCLEAR fission; MACHINE learning; LANGEVIN equations

• Source: EPJ Web of Conferences; 10/18/2024, Vol. 306, p1-4, 4p

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Exploring possibilities for solar irradiance prediction from solar photosphere images using recurrent neural networks

• Authors : Muralikrishna Amita; dos Santos Rafael Duarte Coelho; Vieira Luis Eduardo Antunes

Subjects: solar irradiance; tsi; ssi

• Source: Journal of Space Weather and Space Climate, Vol 12, p 19 (2022)

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On the way to fault detection method in moving load dynamics problem by modified recurrent neural networks approach

• Authors : Jena Shakti P.; Parhi Dayal R.

Subjects: crack locations; crack severities; l-m algorithm

• Source: Mechanics & Industry, Vol 22, p 10 (2021)

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Catch and Prolong: recurrent neural network for seeking track-candidates.

• Authors : Bobrikov, I.; Chudoba, V.; Derenovskaya, O.

• Source: EPJ Web of Conferences. 2019, Vol. 201, pN.PAG-N.PAG. 5p.

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3D convolutional and recurrent neural networks for reactor perturbation unfolding and anomaly detection

• Authors : Durrant Aiden; Leontidis Georgios; Kollias Stefanos

Subjects: Nuclear engineering. Atomic power; TK9001-9401

• Source: EPJ Nuclear Sciences & Technologies, Vol 5, p 20 (2019)

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On the way to fault detection method in moving load dynamics problem by modified recurrent neural networks approach

• Authors : Shakti P. Jena; Dayal R. Parhi

Subjects: crack locations; Computer science; Mechanical Engineering

• Source: Mechanics & Industry, Vol 22, p 10 (2021)

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Design and performance evaluation of multilevel inverter for solar energy systems and electric vehicle charging with multi output active clamp forward converter

• Authors : Adupa Chandramouli; Siva Chidambaranathan V.

Subjects: solar generation; recurrent neural networks; incremental conductance

• Source: Science and Technology for Energy Transition, Vol 79, p 93 (2024)

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Exponentially convergent state estimation for delayed switched recurrent neural networks.

• Authors : Ahn CK; Seoul National University of Science & Technology, Seoul, Korea.

• Source: The European physical journal. E, Soft matter [Eur Phys J E Soft Matter] 2011 Nov; Vol. 34 (11), pp. 122. Date of Electronic Publication: 2011 Nov 21.Publisher: EDP Sciences Country of Publication: France NLM ID: 101126530 Publication Model: Print-Electronic Cited Medium:

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3D Convolutional and Recurrent Neural Networks for Reactor Perturbation Unfolding and Anomaly Detection

• Authors : Durrant, Aiden; Leontidis, Georgios; Kollias, Stefanos

Subjects: H821 Nuclear Engineering; G400 Computer Science; G760 Machine Learning

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