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Data management, analytics and innovationproceedings of ICDMAI 2023 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data management, analytics and innovationedited by Neha Sharma ... [et al.].
Reminder of title:	proceedings of ICDMAI 2023 /
remainder title:	ICDMAI 2023
other author:	Sharma, Neha.
corporate name:
Published:	Singapore :Springer Nature Singapore :2023.
Description:	1 online resource (xxviii, 1081 p.) :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Database management
Online resource:	https://doi.org/10.1007/978-981-99-1414-2
ISBN:	9789819914142$q(electronic bk.)

Data management, analytics and innovationproceedings of ICDMAI 2023 /
Data management, analytics and innovationproceedings of ICDMAI 2023 /[electronic resource] :ICDMAI 2023edited by Neha Sharma ... [et al.]. - Singapore :Springer Nature Singapore :2023. - 1 online resource (xxviii, 1081 p.) :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 6622367-3389 ;. - Lecture notes in networks and systems ;v.1..

A Smart System to Classify Walking and Sitting Activity based on EEG Signal -- Monitoring urban water-logging using SAR - A Mumbai case study -- Suspicious Event Detection of Cargo Vessels based on AIS Data -- Identifying Trends using Improved Affinity Propagation (IMAP) Clustering Algorithm on Evolving Data Stream -- Graphology based behavior prediction : Case study analysis -- Statistics Driven Suspicious Event Detection of Fishing Vessels based on AIS Data -- Distributed Reduced Alphabet Representation for Predicting Proinflammatory Peptides -- Prakruti Nishchitikaran of Human Body using Supervised Machine Learning Approach -- X-ABI: Towards Parameter Efficient Multilingual Adapter Based Inference for Cross-Lingual Transfer -- Comparative Study of Depth Estimation from 2-D Scene Using Deep Learning Model -- DCNN-based Transfer Learning approaches for Gender Recognition -- Analysis of Machine Learning Algorithms for COVID Detection Using Deep Learning -- Real-time learning towards assets allocation -- Named Entity Recognition over Dialogue Dataset using Pre-trained Transformers -- A Comparative Study of Distance-based Clustering Algorithms in Fuzzy Failure Modes and Effects Analysis -- Economical Solution to Automatic Evaluation of an OMR Sheet Using Image Processing -- Defense and evaluation against covert channel based attacks in Android smartphones -- From Bricks to Clicks: The Potential of Big Data Analytics for Revolutionizing the Information Landscape in Higher Education Sector -- Data science approaches to public health: case studies using routine health data from India -- Arboviral Epidemic Disease Forecasting - A Survey on Diagnostics and Outbreak Models -- Convolution Neural Network for Weed Detection -- Machine Learning Model for Brain Stock Prediction -- Analysis of Covid-19 Genome using Continuous Wavelet Transform.

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. The volume is a collection of peer reviewed research papers presented at Seventh International Conference on Data Management, Analytics and Innovation (ICDMAI 2023), held during 20 - 22 January, 2023 in Pune, India. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

ISBN: 9789819914142$q(electronic bk.)

Standard No.: 10.1007/978-981-99-1414-2doiSubjects--Topical Terms:

253546
Database management

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.74

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505 0 $a A Smart System to Classify Walking and Sitting Activity based on EEG Signal -- Monitoring urban water-logging using SAR - A Mumbai case study -- Suspicious Event Detection of Cargo Vessels based on AIS Data -- Identifying Trends using Improved Affinity Propagation (IMAP) Clustering Algorithm on Evolving Data Stream -- Graphology based behavior prediction : Case study analysis -- Statistics Driven Suspicious Event Detection of Fishing Vessels based on AIS Data -- Distributed Reduced Alphabet Representation for Predicting Proinflammatory Peptides -- Prakruti Nishchitikaran of Human Body using Supervised Machine Learning Approach -- X-ABI: Towards Parameter Efficient Multilingual Adapter Based Inference for Cross-Lingual Transfer -- Comparative Study of Depth Estimation from 2-D Scene Using Deep Learning Model -- DCNN-based Transfer Learning approaches for Gender Recognition -- Analysis of Machine Learning Algorithms for COVID Detection Using Deep Learning -- Real-time learning towards assets allocation -- Named Entity Recognition over Dialogue Dataset using Pre-trained Transformers -- A Comparative Study of Distance-based Clustering Algorithms in Fuzzy Failure Modes and Effects Analysis -- Economical Solution to Automatic Evaluation of an OMR Sheet Using Image Processing -- Defense and evaluation against covert channel based attacks in Android smartphones -- From Bricks to Clicks: The Potential of Big Data Analytics for Revolutionizing the Information Landscape in Higher Education Sector -- Data science approaches to public health: case studies using routine health data from India -- Arboviral Epidemic Disease Forecasting - A Survey on Diagnostics and Outbreak Models -- Convolution Neural Network for Weed Detection -- Machine Learning Model for Brain Stock Prediction -- Analysis of Covid-19 Genome using Continuous Wavelet Transform.
520 $a This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. The volume is a collection of peer reviewed research papers presented at Seventh International Conference on Data Management, Analytics and Innovation (ICDMAI 2023), held during 20 - 22 January, 2023 in Pune, India. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
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