Soft Computing: Theories and Applications Proceedings of SoCTA 2017 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ray, Kanad (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sharma, Tarun K. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Rawat, Sanyog (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Saini, R. K. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Bandyopadhyay, Anirban (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, 742
• Θέματα: Computational intelligence.; Signal processing.; Image processing.; Speech processing systems.; Electrical engineering.; Computational Intelligence.; Signal, Image and Speech Processing.; Communications Engineering, Networks.

The book focuses on soft computing and its applications to solve real-world problems occurring in different domains ranging from medicine and healthcare, and supply chain management to image processing and cryptanalysis. It includes high-quality papers presented in the International Conference on So...

Πίνακας περιεχομένων:

• Chapter 1: An Analysis of Authors productivity in RFID & Supply Chain Management
• Chapter 2: Meta Heuristic Techniques Study for Fault Tolerant in Cloud Computing Environment: A Survey Work
• Chapter 3: Complexity Metrics for Component Based Software System
• Chapter 4: DESIGN AND ANALYSIS OF ON-CHIP LOW POWER, LOW DROP-OUT VOLTAGE REGULATOR using FFRC and MCC Techniques
• Chapter 5: Study and Analysis of Back-Propagation Approach in Artificial Neural Network using HOG Descriptor for Real-time Object Classification
• Chapter 6: Identification of relevant stochastic input variables for prediction of daily PM10 using Artificial Neural Networks
• Chapter 7: Field based Weighting Information Retrieval on Document field of Ad hoc dataset .