Rituparna Chaki,
Agostino Cortesi,
Khalid Saeed,
Nabendu Chaki
e.a.
Springer Nature Singapore
e druk, 2020
9789811529290
Advanced Computing and Systems for Security
Volume Twelve
Specificaties
Paperback, blz.
|
Engels
Springer Nature Singapore |
e druk, 2020
ISBN13: 9789811529290
Rubricering
Onderdeel van serie
Advances in Intelligent Systems and Computing
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
This book features extended versions of selected papers that were presented and discussed at the 7th International Doctoral Symposium on Applied Computation and Security Systems (ACSS 2020), held in Kolkata, India, on February 28–29, 2020. Organized by the Departments of Computer Science & Engineering and A. K. Choudhury School of Information Technology at the University of Calcutta, the symposium’s international partners were Ca' Foscari University of Venice, Italy, and Bialystok University of Technology, Poland. The topics covered include biometrics, image processing, pattern recognition, algorithms, cloud computing, wireless sensor networks, and security systems, reflecting the various symposium sessions.
Specificaties
ISBN13:9789811529290
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Singapore
Inhoudsopgave
Automatic caption generation of retinal diseases with self trained RNN merge model.- Dimensionality reduction of hyperspectral images: A data driven approach for band selection.- Comment-Mine -- A Semantic Search Approach to Program Comprehension from Code Comments.- Biomarker Gene Identification using a Quantum Inspired Clustering Approach.- Shot Classification and Replay Detection in Broadcast Soccer Video.- A Novel Automated Blood Cell Counting Method Based on Deconvolution and Convolution and Its Application to Neural Networks.- A citizen centred sentiment analysis towards India's critically endangered Avian and Mammalian species.- Methodology for Generating Synthetic Time-dependant Probabilistic Speed Profiles.- A Multi-scale Patch-based Deep learning system for Polyp Segmentation.- Object detection in rainy condition from video using YOLO based deep learning model.- Visualisation of the evacuation process including people with heart diseases.
