The book discusses the transformative impact of futuristic technologies in modern construction. It includes digital twins for planning, project management, real-time simulation, circular construction, and data-driven decision-making, alongside robotics for automating on-site operations with precision and safety.
The book discusses the transformative impact of futuristic technologies in modern construction. It includes digital twins for planning, project management, real-time simulation, circular construction, and data-driven decision-making, alongside robotics for automating on-site operations with precision and safety.
Faridoddin Shariaty is a distinguished researcher in Artificial Intelligence applications in medicine, specializing in Medical Image Processing. He is currently a Research Assistant at Peter the Great St Petersburg Polytechnic University in St Petersburg, Russia. He is involved in pioneering research in computer-aided diagnosis systems, leveraging advanced machine learning techniques to enhance medical diagnostics. Sanjiban Sekhar Roy is a Professor in the School of Computer Science and Engineering, Vellore Institute of Technology. He has a PhD from Vellore Institute of Technology (2016). His research interests include deep learning and advanced machine learning. Dr. Roy is a recipient of the "Diploma of Excellence" award for academic research in the year 2019 from the Ministry of National Education, Romania. He was an associate researcher in Ton Duc Thang University, Vietnam (2019-20). He has served as an editor of a handful of special issues for journals, published numerous articles in SCI high impact journals and many books with reputed publishers.
Inhaltsangabe
Preface. An Introduction to Brain-Computer Interface Systems. Fundamentals of Brain-Computer Interfaces. Introduction to MATLAB® for BCI Systems. Signal Acquisition and Preprocessing. Feature Extraction and Representation. Classification Algorithms for BCI Systems. Case Studies and Practical Examples. Conclusion. Appendix A MATLAB® Code Snippets. Index.
Preface. An Introduction to Brain-Computer Interface Systems. Fundamentals of Brain-Computer Interfaces. Introduction to MATLAB® for BCI Systems. Signal Acquisition and Preprocessing. Feature Extraction and Representation. Classification Algorithms for BCI Systems. Case Studies and Practical Examples. Conclusion. Appendix A MATLAB® Code Snippets. Index.
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