
Title:
Data Management, Analytics and Innovation Proceedings of ICDMAI 2023
Author:
Sharma, Neha. editor.
ISBN:
9789819914142
Edition:
1st ed. 2023.
Physical Description:
XXVIII, 1081 p. 551 illus., 398 illus. in color. online resource.
Series:
Lecture Notes in Networks and Systems, 662
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.
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-981-99-1414-2Copies: