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|2 doi
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|a International Conference on Data Science, Machine Learning and Applications
|n (2nd :
|d 2020 :
|c Pune, India)
|
| 245 |
1 |
0 |
|a ICDSMLA 2020 :
|b proceedings of the 2nd International Conference on Data Science, Machine Learning and Applications /
|c Amit Kumar, Sabrina Senatore, Vinit Kumar Gunjan, editors.
|
| 260 |
|
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|a Singapore :
|b Springer,
|c [2022]
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| 300 |
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|a 1 online resource (1600 pages)
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| 336 |
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|a text
|b txt
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|2 rdamedia
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|a online resource
|b cr
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| 490 |
1 |
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|a Lecture notes in electrical engineering ;
|v v. 783
|
| 505 |
0 |
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|a Automatic Notes Generation From Lecture Videos -- Correlation between Code Smells for Open Source Java Projects -- Throughput Improvement in Energy Efficient Heterogeneous Wireless Sensor Network -- Deep Learning Models for Rubiks cube with Entropy Modelling -- Detecting Diabetic Retinopathy Using Deep Learning Technique with RESNET-50 -- Restoration of Rician Corrupted MR Data using Improved Hybrid Model -- Flight Delay Prediction using Random Forest Classifier -- A framework using Markov-Bayes model for Intrusion Detection in Wireless Sensor Network -- Effective text comment classification using Novel ML algorithm -- Modified Lazy Random Forest -- Unraveling Deep Learning Performance in Cross-Sensor Iris Recognition -- Travelling Salesman Problem Using GA-ACO Hybrid Approach: A Review -- Efficient and Robust Indian Number Plate Recognition through Modified and Tuned LPRNet -- An Improved Machine Learning Prediction Model for Diabetes.
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| 520 |
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|a This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, humancomputer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
|
| 588 |
0 |
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|a Online resource; title from PDF title page (SpringerLink, viewed November 22, 2021).
|
| 650 |
|
0 |
|a Artificial intelligence
|v Congresses.
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| 650 |
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0 |
|a Machine learning
|v Congresses.
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| 650 |
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7 |
|a Artificial intelligence
|2 fast
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| 650 |
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7 |
|a Machine learning
|2 fast
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0 |
|a Electronic books.
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|a proceedings (reports)
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|a Conference papers and proceedings
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| 655 |
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7 |
|a Conference papers and proceedings.
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| 655 |
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|a Actes de congrès.
|2 rvmgf
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| 700 |
1 |
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|a Kumar, Amit.
|
| 700 |
1 |
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|a Senatore, Sabrina.
|
| 700 |
1 |
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|a Gunjan, Vinit Kumar.
|
| 758 |
|
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|i has work:
|a ICDSMLA 2020 (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGHm4rPYvXXF6GD7JC4Vfm
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
8 |
|i Print version:
|a Kumar, Amit.
|t Icdsmla 2020.
|d Singapore : Springer Singapore Pte. Limited, ©2021
|z 9789811636899
|
| 830 |
|
0 |
|a Lecture notes in electrical engineering ;
|v v. 783.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-16-3690-5
|y Click for online access
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|a SPRING-ROBOTICS2022
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| 994 |
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|b HCD
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