Sensor data analysis and management : (Record no. 69717)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05772cam a2200565Ii 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1285785153 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220711203736.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 211120s2021 nju o 000 0 eng d |
| 019 ## - | |
| -- | 1288449262 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119682486 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119682487 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119682806 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119682800 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119682455 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119682452 |
| -- | (electronic bk.) |
| 029 1# - (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000070440690 |
| 037 ## - | |
| -- | 9640327 |
| -- | IEEE |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 681/.20285631 |
| 245 00 - TITLE STATEMENT | |
| Title | Sensor data analysis and management : |
| Sub Title | the role of deep learning / |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Newark : |
| Publisher | John Wiley & Sons, Incorporated, |
| Year of publication | [2021] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (274 pages) |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Discover detailed insights into the methods, algorithms, and techniques for deep learning in sensor data analysis Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of deep learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of deep learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data. The editors have curated a distinguished group of perceptive and concise papers that show the potential of deep learning as a powerful tool for solving complex modelling problems across a broad range of industries, including predictive maintenance, health monitoring, financial portfolio forecasting, and driver assistance. The book contains real-time examples of analyzing sensor data using deep learning algorithms and a step-by-step approach for installing and training deep learning using the Python keras library. Readers will also benefit from the inclusion of: A thorough introduction to the Internet of Things for human activity recognition, based on wearable sensor data An exploration of the benefits of neural networks in real-time environmental sensor data analysis Practical discussions of supervised learning data representation, neural networks for predicting physical activity based on smartphone sensor data, and deep-learning analysis of location sensor data for human activity recognition An analysis of boosting with XGBoost for sensor data analysis Perfect for industry practitioners and academics involved in deep learning and the analysis of sensor data, Sensor Data Analysis and Management: The Role of Deep Learning will also earn a place in the libraries of undergraduate and graduate students in data science and computer science programs. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Efficient Resource Allocation Using Multilayer Neural Network in Cloud Environment / N Vijayaraj, G Uganya, M Balasaraswathi, V Sivasankaran, Radhika Baskar, AS Syed Fiaz -- Internet of Things for Human-Activity Recognition Based on Wearable Sensor Data / Vikram Rajpoot, Sudeep Ray Gaur, Aditya Patel, Akash Saxena -- Evaluation of Feature Selection Techniques in Intrusion Detection Systems Using Machine Learning Models in Wireless Ad Hoc Networks / TJ Nagalakshmi, M Balasaraswathi, V Sivasankaran, D Ravikumar, S Joseph Gladwin, S Pravin Kumar -- Neuro-Fuzzy-Based Bidirectional and Biobjective Reactive Routing Schema for Critical Wireless Sensor Networks / KM Karthick Raghunath, GR Anantha Raman -- Feature Detection and Extraction Techniques for Real-Time Student Monitoring in Sensor Data Environments / V Saravanan, N Shanmuga Priya -- Deep Learning Analysis of Location Sensor Data for Human-Activity Recognition / Hariprasath Manoharan, Ganesan Sivarajan, Subramanian Srikrishna -- A Quantum-Behaved Particle-Swarm-Optimization-Based KNN Classifier for Improving WSN Lifetime / Ajmi Nader, Helali Abdelhamid, Mghaieth Ridha -- Feature Detection and Extraction Techniques for Sensor Data / L Priya, A Sathya, S Thanga Revathi -- Object Detection in Satellite Images Using Modified Pyramid Scene Parsing Networks / Akhilesh Vikas Kakade, S Rajkumar, K Suganthi, L Ramanathan -- Coronary Illness Prediction Using the AdaBoost Algorithm / G Deivendran, S Vishal Balaji, B Paramasivan, S Vimal -- Geographic Information Systems and Confidence Interval with Deep Learning Techniques for Traffic Management Systems in Smart Cities / Prisilla Jayanthi -- Index. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Data processing. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Data processing. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Suresh, Annamalai, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Udendran, R., |
| 700 1# - AUTHOR 2 | |
| Author 2 | Ahmed, M. S. Irfan, |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1002/9781119682806 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #4 - | |
| -- | ©2021 |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 588 0# - | |
| -- | Print version record. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Detectors |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machine learning. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Detectors |
| -- | (OCoLC)fst00891599 |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machine learning. |
| -- | (OCoLC)fst01004795 |
| 994 ## - | |
| -- | 92 |
| -- | DG1 |
No items available.