|
|
|
|
| LEADER |
00000cam a2200000 i 4500 |
| 001 |
on1237721160 |
| 003 |
OCoLC |
| 005 |
20241006213017.0 |
| 006 |
m o d |
| 007 |
cr |n||||||||| |
| 008 |
210217s2021 si o 000 0 eng d |
| 040 |
|
|
|a YDX
|b eng
|e rda
|e pn
|c YDX
|d GW5XE
|d OCLCO
|d EBLCP
|d DKU
|d OHX
|d N$T
|d DCT
|d OCLCF
|d UKAHL
|d OCLCQ
|d OCLCO
|d OCLCQ
|d OCL
|d SFB
|d OCLCO
|d OCLCL
|
| 019 |
|
|
|a 1237863673
|a 1241066986
|a 1244120051
|
| 020 |
|
|
|a 9789813344129
|q (electronic bk.)
|
| 020 |
|
|
|a 9813344121
|q (electronic bk.)
|
| 020 |
|
|
|z 9813344113
|
| 020 |
|
|
|z 9789813344112
|
| 024 |
7 |
|
|a 10.1007/978-981-33-4412-9
|2 doi
|
| 035 |
|
|
|a (OCoLC)1237721160
|z (OCoLC)1237863673
|z (OCoLC)1241066986
|z (OCoLC)1244120051
|
| 037 |
|
|
|b Springer
|
| 050 |
|
4 |
|a R859.7.D35
|
| 072 |
|
7 |
|a TEC009000
|2 bisacsh
|
| 072 |
|
7 |
|a UYQ
|2 bicssc
|
| 072 |
|
7 |
|a UYQ
|2 thema
|
| 049 |
|
|
|a HCDD
|
| 245 |
0 |
0 |
|a AI and machine learning paradigms for health monitoring system :
|b intelligent data analytics /
|c Hasmat Malik, Nuzhat Fatema, Jafar A. Alzubi, editors.
|
| 264 |
|
1 |
|a Singapore :
|b Springer,
|c [2021]
|
| 300 |
|
|
|a 1 online resource
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|
| 347 |
|
|
|b PDF
|
| 490 |
1 |
|
|a Studies in big data ;
|v volume 86
|
| 520 |
|
|
|a This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.
|
| 505 |
0 |
|
|a Optimization Solutions for Demand Side Management and Monitoring -- An Insight into Tool and Software Used in AI, Machine Learning and Data Analytics -- Security Enhancement and Monitoring for Data Sensing Networks Using a Novel Asymmetric Mirror-Key Data Encryption Method -- Introduction to Cuckoo Search and its Paradigms: A Bibliographic Survey and Recommendations -- Routing Protocols for Internet of Vehicles: A Review -- Introduction to Particle Swarm Optimization and its Paradigms: A Bibliographic Survey -- Classification and Monitoring of Injuries Around Knee Using Radiographs Based Deep Learning Algorithm -- Artificial Intelligence: Its Role in Diagnosis and Monitoring against COVID-19 -- Predicting Future, past and Misinterpreted COVID-19 Cases using Bidirectional LSTM Model for Proper Health Monitoring: Advances in Data Analytics -- Data Driven Analysis to Identify the Role of Relational Benefit in Developing Customer Loyalty and Management: A Case Study.
|
| 588 |
0 |
|
|a Online resource; title from PDF title page (SpringerLink, viewed March 15, 2021).
|
| 650 |
|
0 |
|a Medical informatics.
|
| 650 |
|
0 |
|a Big data.
|
| 650 |
|
0 |
|a Soft computing.
|
| 650 |
|
0 |
|a Machine learning.
|
| 650 |
|
0 |
|a Medicine
|x Data processing.
|
| 650 |
|
7 |
|a Medicine
|x Data processing
|2 fast
|
| 650 |
|
7 |
|a Big data
|2 fast
|
| 650 |
|
7 |
|a Machine learning
|2 fast
|
| 650 |
|
7 |
|a Medical informatics
|2 fast
|
| 650 |
|
7 |
|a Soft computing
|2 fast
|
| 650 |
|
7 |
|a Intel·ligència artificial.
|2 thub
|
| 650 |
|
7 |
|a Aprenentatge automàtic.
|2 thub
|
| 650 |
|
7 |
|a Intel·ligència computacional.
|2 thub
|
| 655 |
|
7 |
|a Llibres electrònics.
|2 thub
|
| 700 |
1 |
|
|a Malik, Hasmat,
|e editor.
|
| 700 |
1 |
|
|a Fatema, Nuzhat,
|e editor.
|
| 700 |
1 |
|
|a Alzubi, Jafar A.,
|e editor.
|
| 758 |
|
|
|i has work:
|a AI and machine learning paradigms for health monitoring system (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGpDgrdGvCTG6vvwy7gyq3
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|i Print version:
|z 9813344113
|z 9789813344112
|w (OCoLC)1201378829
|
| 830 |
|
0 |
|a Studies in big data ;
|v v. 86.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-33-4412-9
|y Click for online access
|
| 903 |
|
|
|a SPRING-ROBOTICS2021
|
| 994 |
|
|
|a 92
|b HCD
|