Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2
Springer International Publishing (Verlag)
978-3-030-89879-3 (ISBN)
One of the meaningful and valuable dimensions of this conference is the way it brings together a large group of technology geniuses in one venue to not only present breakthrough research in future technologies, but also to promote discussions and debate of relevant issues, challenges, opportunities and research findings.
We hope that readers find the book interesting, exciting, and inspiring; it provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research.
Deep Learning for Modulation Classification in Two-tier Cognitive Femtocell Networks.- Plant Stresses and Pest Attack Detection using Convolutional Neural Networks with Advance Preprocessing Techniques in Chili Plants.- Adoption of Best Practices in Drafting Patents for Innovative Models of Modern Artificial Intelligence Solutions.- Performance Characterization of Supervision on Knowledge Distillation.- Application of Deep Convolutional Neural Networks VGG-16 and GoogLeNet for Level Diabetic Retinopathy Detection.- Detection and Classification of Prostate Cancer using Dual-Channel Parallel Convolution Neural Network.- "PollPub": Secure and Dynamic Polling Platform using Blockchain.- BlockForest: A Distributed Tree Structure.- Data Validation Through Decentralised Blockchain-based Registries.
Erscheinungsdatum | 05.11.2021 |
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Reihe/Serie | Lecture Notes in Networks and Systems |
Zusatzinfo | XII, 847 p. 415 illus., 324 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 1275 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | computing • Electronics • FTC • FTC 2021 • Intelligent Systems • Machine vision • Rebotics • Security and Communications |
ISBN-10 | 3-030-89879-2 / 3030898792 |
ISBN-13 | 978-3-030-89879-3 / 9783030898793 |
Zustand | Neuware |
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