Advances in Internet, Data and Web Technologies The 7th International Conference on Emerging Internet, Data and Web Technologies (EIDWT-2019) /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Barolli, Leonard (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Xhafa, Fatos (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Khan, Zahoor Ali (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Odhabi, Hamad (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Lecture Notes on Data Engineering and Communications Technologies, 29
• Θέματα: Computational intelligence.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence.

This book presents original contributions on the theories and practices of emerging Internet, Data and Web technologies and their applications in businesses, engineering and academia. As a key feature, it addresses advances in the life-cycle exploitation of data generated by digital ecosystem techno...

Πίνακας περιεχομένων:

• A Fuzzy-based System for Cloud-Fog-Edge Selection in VANETs
• A Fuzzy-based System for Selection of Actor Nodes in WSANs Considering Actor Reliability and Load Distribution
• IoT Device Selection in Opportunistic Networks: A Fuzzy Approach Considering IoT Device Failure Rate
• A Comparison Study for Chi-square and Uniform Client Distributions by WMN-PSOSA Simulation System for WMNs
• Linguistic-based Security in Fog and Cloud Computing
• Terminal Access Data Anomaly Detection Based on GBDT for Power User Electric Energy Data Acquisition System
• Evaluating Indoor Location Triangulation Using Wi-Fi Signals
• Load and Price Forecasting in Smart Grids Using Enhanced Support Vector Machine
• Understanding Students Personality to Detect Their Learning Differences
• Hybrid Approach for Heart Disease Prediction Using Data Mining Techniques
• TCP with Network Coding Performance Under Packet Reordering.