|
|
|
|
| LEADER |
03041nmm a2200421 u 4500 |
| 001 |
EB002007257 |
| 003 |
EBX01000000000000001170157 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
220104 ||| eng |
| 020 |
|
|
|a 9789811636905
|
| 100 |
1 |
|
|a Kumar, Amit
|e [editor]
|
| 245 |
0 |
0 |
|a ICDSMLA 2020
|h Elektronische Ressource
|b Proceedings of the 2nd International Conference on Data Science, Machine Learning and Applications
|c edited by Amit Kumar, Sabrina Senatore, Vinit Kumar Gunjan
|
| 250 |
|
|
|a 1st ed. 2022
|
| 260 |
|
|
|a Singapore
|b Springer Nature Singapore
|c 2022, 2022
|
| 300 |
|
|
|a XX, 1671 p. 986 illus., 741 illus. in color
|b online resource
|
| 505 |
0 |
|
|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 Rubik’s 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-Baye’s 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
|
| 653 |
|
|
|a Big data
|
| 653 |
|
|
|a Internet of things
|
| 653 |
|
|
|a Computational intelligence
|
| 653 |
|
|
|a Artificial Intelligence
|
| 653 |
|
|
|a Mathematical Models of Cognitive Processes and Neural Networks
|
| 653 |
|
|
|a Computational Intelligence
|
| 653 |
|
|
|a Neural networks (Computer science)
|
| 653 |
|
|
|a IT in Business
|
| 653 |
|
|
|a Internet of Things
|
| 653 |
|
|
|a Artificial intelligence
|
| 653 |
|
|
|a Big Data
|
| 653 |
|
|
|a Business information services
|
| 700 |
1 |
|
|a Senatore, Sabrina
|e [editor]
|
| 700 |
1 |
|
|a Gunjan, Vinit Kumar
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
|
|a Lecture Notes in Electrical Engineering
|
| 028 |
5 |
0 |
|a 10.1007/978-981-16-3690-5
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-16-3690-5?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 006.3
|
| 520 |
|
|
|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, human–computer 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
|