Data Management, Analytics and Innovation : Proceedings of ICDMAI 2023 / edited by Neha Sharma, Amol Goje, Amlan Chakrabarti, Alfred M. Bruckstein.

Format:

Book

Author/Creator:

Sharma, Neha.

Contributor:

Goje, Amol.

Chakrabarti, Amlan.

Bruckstein, Alfred M.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 662

Language:

English

Subjects (All):

Computational intelligence.

Engineering--Data processing.

Engineering.

Big data.

Computational Intelligence.

Data Engineering.

Big Data.

Local Subjects:

Computational Intelligence.

Data Engineering.

Big Data.

Physical Description:

1 online resource (1068 pages)

Edition:

1st ed. 2023.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2023.

Summary:

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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Sharma, Neha Data Management, Analytics and Innovation

ISBN:

981-9914-14-0

OCLC:

1380865333