Advances in Neural Computation, Machine Learning, and Cognitive Research VII
Selected Papers from the XXV International Conference on Neuroinformatics, October 23-27, 2023, Moscow, Russia
(Sprache: Englisch)
This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep...
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Klappentext zu „Advances in Neural Computation, Machine Learning, and Cognitive Research VII “
This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain-computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXV International Conference on Neuroinformatics, held on October 23-27, 2023, in Moscow, Russia.
Inhaltsverzeichnis zu „Advances in Neural Computation, Machine Learning, and Cognitive Research VII “
Evolution of Efficient Symbolic Communication Codes.- Solving the Problem of Diagnosing a Disease by ECG on the PTB-XL Dataset Using Deep Learning.- Zero-Shot NER via Extractive Question Answering.- TreeCurveNet - An Improved CurveNet for Tree Species Classification.- Dialogue Graphs: Enhancing Response Selection through Target Node Separation.- Research Methods for Fake News Detection in Bangla Text.- On the Question of the Dynamic Theory of Intelligence.- Offline Deep Reinforcement Learning for Robotic Arm Control in the ManiSkill Environment.- A Photostimuli Presenting Device for Customized SSVEP-based Brain-Computer Interfaces.- SNAC Approach to Aircraft Motion Control.- Russian Language Speech Generation from Facial Video Recordings Using Variational Autoencoder.
Bibliographische Angaben
- 2023, 1st ed. 2023, XVI, 501 Seiten, 96 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Gebunden, Englisch
- Herausgegeben: Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin Klimov
- Verlag: Springer, Berlin
- ISBN-10: 3031448642
- ISBN-13: 9783031448645
Sprache:
Englisch
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