Innovations in Computer Science and Engineering Proceedings of the Sixth ICICSE 2018 /

This book includes high-quality, peer-reviewed research papers from the 6th International Conference on Innovations in Computer Science & Engineering (ICICSE 2018), held at Guru Nanak Institutions, Hyderabad, India from August 17 to 18, 2018. The book discusses a wide variety of industrial, engi...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Saini, H. S. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sayal, Rishi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Govardhan, Aliseri (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Buyya, Rajkumar (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:Lecture Notes in Networks and Systems, 74
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Named Entity Recognition in Tamil Language Using Recurrent based Sequence Model
  • Quantum Digital Signature based Group Key Management in E-Commerce
  • Predicting the Risk of Readmission of Diabetic Patients Using Deep Neural Networks
  • Reliable Healthcare Monitoring System Using SPOC Framework
  • Computer Aided Lung Parenchyma Segmentation Using Supervised Learning
  • Gender Identification of Code Mixed Malayalam-English Data from WhatsApp
  • Comparative Study of Machine Learning Approaches for Heart Transplantation
  • Enhanced Trust based Cluster Head Selection in Wireless Sensor Networks
  • Homomorphic Encryption Scheme to Enhance the Security of Data
  • An Effective Data Transmission Approach through Cascading of Clusters in Path Identification for WSN Routing
  • An Inception towards better Classification Technique for Big Data
  • A Hybrid Feature Selection Approach for Handling a High Dimensional Data
  • Improved Clustering Technique Using Meta Data for Text Mining
  • Privacy Preservation in Healthcare by Process Mining.