Smart Innovations in Communication and Computational Sciences Proceedings of ICSICCS-2018 /

The book presents the latest advances and research findings in the fields of computational science and communication. The areas covered include smart innovation; systems and technologies; embedded knowledge and intelligence; innovation and sustainability; advanced computing; and networking and infor...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Tiwari, Shailesh (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Trivedi, Munesh C. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Mishra, Krishn K. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Misra, A. K. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kumar, Khedo Kavi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Advances in Intelligent Systems and Computing, 851
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 1. Design of Eye Template Matching Method for Head Gesture Recognition System
  • 2. Real time Meta learning approach for Mobile Healthcare
  • 3.Firearm Detection from Surveillance Cameras Using Image Processing and Machine Learning Techniques
  • 4. Segmentation of Optic Disc by Localized Active Contour model in Retinal Fundus Image
  • 5. A Novel Genetic Algorithm Based Scheduling for Multi-core Systems
  • 6.Various Pre-Processing Methods for Neural Network based Heart Disease Prediction
  • 7. Intelligent Passenger Information System using IoT for Smart Cities
  • 8. Continuous Monitoring and Detection of Epileptic Seizures using Wearable Device
  • 9.Brain Tumor Detection Using Cuckoo Search Algorithm and Histogram Thresholding for MR Images
  • 10.eMDPM: Efficient Multi-dimensional pattern Matching algorithm for GPU
  • 11. Computer vision-based fruit disease Detection and classification.