Rakhmatulin (17 results)

Hardcover. Condition: Very Good. Ex-library with usual apparatus of pocket, spine slip, withdrawn stamps, etc., else Very Good.

Hardcover. Condition: Near Fine. Hananel, A. And Baruch, A. - Translators (illustrator). name on front end paper; dust jacket is torn and tape repaired, but complete, mylar wrapped -- NOT x-library.

Condition: Good. 1966. No Edition Remarks. 342 pages. Black and pink jacket over brown cloth with gilt lettering to spine. Pages are lightly tanned, but text remains clear. Binding is firm. Price inscription to front free endpaper. Boards and spine have minimal shelf-wear, with mild corner bumping and crushing to ends. Gilt remains bright. Unclipped jacket. Light tanning to all surfaces, heaviest to spine and edges. Minimal edgewear, with small tear to rear panel. Visible marking to exterior.

Cloth. Condition: Very Good. Dust Jacket Condition: Good. First Edition. VG/Good, white pictorial dj in transparent plastic dw and with completely faded red titles on spine (unreadable), ex-Royal Aircraft Establishment Library, contents are clean and unmarked, large octavo 342pp. Weight 800g. Translated from the Russian by A. Hananel and A. Baruch. Propagation of waves in nonlinear-elastic & elastic-plastic bars (theory of longitudinal impact); theory of transverse impact on flexible deformable joints & beams; propagation of perturbation waves of polar, axial, and sperical symmetrypropagation of disturbances in elastic & plastic media possessing viscous properties & displaying phenomena of creep & relaxation. Ex-Library.

Paperback. Condition: new. Paperback. Unlock the power of brain-computer interfaces (BCIs) with this practical guide to signal processing and machine learning. Learn to decode neural data using Python, from fundamental techniques to cutting-edge algorithms. Master essential libraries, implement real-time processing, and design your own BCI systems. Perfect for students, researchers, and innovators ready to build the future of neurotechnology.From basic signal processing to advanced machine learning techniques, you will learn how to extract meaningful insights from complex neuroscience data. Step-by-step tutorials guide you through real-world applications, empowering you to:Master essential Python libraries for neuroscience data analysisImplement signal filtering, feature extraction, and neural decoding algorithmsDesign and evaluate BCI systems using state-of-the-art machine learning approachesWhether you are a student, researcher, or entrepreneur, this book provides the tools and knowledge to turn brain signals into actionable insights. With its focus on practical implementation and real-time processing, it's an invaluable resource for anyone looking to harness the potential of BCIs. Don't just read about neurotechnology learn to build it. Take your first step towards creating the next generation of brain-computer interfaces today. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover/Hardback. Condition: Good. Monografiya osveshchaet teoreticheskie i eksperimentalnye issledovaniya, otnosyashchikhsya k probleme dinamicheskoj prochnosti i predstavlyayushchikh interes.

Condition: New.

Israel Program for Scientific Translations, Jerusalem 1966. 342 pp. Publisher's cloth. Bookplate. Fine condition.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Unlock the power of brain-computer interfaces (BCIs) with this practical guide to signal processing and machine learning. Learn to decode neural data using Python, from fundamental techniques to cutting-edge algorithms. Master essential libraries, implement real-time processing, and design your own BCI systems. Perfect for students, researchers, and innovators ready to build the future of neurotechnology.From basic signal processing to advanced machine learning techniques, you will learn how to extract meaningful insights from complex neuroscience data. Step-by-step tutorials guide you through real-world applications, empowering you to:Master essential Python libraries for neuroscience data analysisImplement signal filtering, feature extraction, and neural decoding algorithmsDesign and evaluate BCI systems using state-of-the-art machine learning approachesWhether you are a student, researcher, or entrepreneur, this book provides the tools and knowledge to turn brain signals into actionable insights. With its focus on practical implementation and real-time processing, it's an invaluable resource for anyone looking to harness the potential of BCIs. Don't just read about neurotechnology - learn to build it. Take your first step towards creating the next generation of brain-computer interfaces today.

Taschenbuch. Condition: Neu. EEG Signal Processing with Python | Machine Learning Techniques for Brain-Computer Interface Development | Ildar Rakhmatulin (u. a.) | Taschenbuch | Brain Informatics and Health | xiv | Englisch | 2026 | Springer | EAN 9789819541768 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Condition: new. Paperback. Unlock the power of brain-computer interfaces (BCIs) with this practical guide to signal processing and machine learning. Learn to decode neural data using Python, from fundamental techniques to cutting-edge algorithms. Master essential libraries, implement real-time processing, and design your own BCI systems. Perfect for students, researchers, and innovators ready to build the future of neurotechnology.From basic signal processing to advanced machine learning techniques, you will learn how to extract meaningful insights from complex neuroscience data. Step-by-step tutorials guide you through real-world applications, empowering you to:Master essential Python libraries for neuroscience data analysisImplement signal filtering, feature extraction, and neural decoding algorithmsDesign and evaluate BCI systems using state-of-the-art machine learning approachesWhether you are a student, researcher, or entrepreneur, this book provides the tools and knowledge to turn brain signals into actionable insights. With its focus on practical implementation and real-time processing, it's an invaluable resource for anyone looking to harness the potential of BCIs. Don't just read about neurotechnology learn to build it. Take your first step towards creating the next generation of brain-computer interfaces today. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: Good. In Russian. Rakhmatulin, Mansur Jalali. Repair of diesel locomotives. Moscow: Transport, 1977. All images are for identification of editions only. Several books of the same edition may be available. Please feel free to request photos of available books.SKU7648685.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Unlock the power of brain-computer interfaces (BCIs) with this practical guide to signal processing and machine learning. Learn to decode neural data using Python, from fundamental techniques to cutting-edge algorithms. Master essential libraries, implement real-time processing, and design your own BCI systems. Perfect for students, researchers, and innovators ready to build the future of neurotechnology.From basic signal processing to advanced machine learning techniques, you will learn how to extract meaningful insights from complex neuroscience data. Step-by-step tutorials guide you through real-world applications, empowering you to:Master essential Python libraries for neuroscience data analysisImplement signal filtering, feature extraction, and neural decoding algorithmsDesign and evaluate BCI systems using state-of-the-art machine learning approachesWhether you are a student, researcher, or entrepreneur, this book provides the tools and knowledge to turn brain signals into actionable insights. With its focus on practical implementation and real-time processing, it's an invaluable resource for anyone looking to harness the potential of BCIs. Don't just read about neurotechnology - learn to build it. Take your first step towards creating the next generation of brain-computer interfaces today. 190 pp. Englisch.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Unlock the power of brain-computer interfaces (BCIs) with this practical guide to signal processing and machine learning. Learn to decode neural data using Python, from fundamental techniques to cutting-edge algorithms. Master essential libraries, implement real-time processing, and design your own BCI systems. Perfect for students, researchers, and innovators ready to build the future of neurotechnology. From basic signal processing to advanced machine learning techniques, you will learn how to extract meaningful insights from complex neuroscience data. Step-by-step tutorials guide you through real-world applications, empowering you to: Master essential Python libraries for neuroscience data analysis Implement signal filtering, feature extraction, and neural decoding algorithms Design and evaluate BCI systems using stateoftheart machine learning approaches Whether you are a student, researcher, or entrepreneur, this book provides the tools and knowledge to turn brain signals into actionable insights. With its focus on practical implementation and real-time processing, it's an invaluable resource for anyone looking to harness the potential of BCIs. Don't just read about neurotechnology - learn to build it. Take your first step towards creating the next generation of brain-computer interfaces today.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 204 pp. Englisch.