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ICDSMLA 2020 = proceedings of the 2n...

International Conference on Data Science, Machine Learning and Applications (2020 :)

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ICDSMLA 2020 = proceedings of the 2nd International Conference on Data Science, Machine Learning and Applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	ICDSMLA 2020/ edited by Amit Kumar, Sabrina Senatore, Vinit Kumar Gunjan.
Reminder of title:	proceedings of the 2nd International Conference on Data Science, Machine Learning and Applications /
other author:	Kumar, Amit.
corporate name:	International Conference on Data Science, Machine Learning and Applications
Published:	Singapore :Springer Singapore : : 2022.,
Description:	xx, 1671 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-16-3690-5
ISBN:	9789811636905

ICDSMLA 2020 = proceedings of the 2nd International Conference on Data Science, Machine Learning and Applications /
ICDSMLA 2020proceedings of the 2nd International Conference on Data Science, Machine Learning and Applications /[electronic resource] :edited by Amit Kumar, Sabrina Senatore, Vinit Kumar Gunjan. - Singapore :Springer Singapore :2022. - xx, 1671 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v. 7831876-1119 ;. - Lecture notes in electrical engineering ;v. 783..

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.

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.

ISBN: 9789811636905

Standard No.: 10.1007/978-981-16-3690-5doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334 / .I57 2020

Dewey Class. No.: 006.3

ICDSMLA 2020 = proceedings of the 2nd International Conference on Data Science, Machine Learning and Applications /
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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.
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.
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