UID:
almahu_9949226658602882
Format:
XXIV, 825 p. 346 illus., 247 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9789811662898
Series Statement:
Lecture Notes on Data Engineering and Communications Technologies, 90
Content:
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.
Note:
Psychological stress and mental health among seafarers -- Real Time Face-Mask Detection and Analysis System -- Gait Recognition Biometric System -- Fighting Media Hyper-partisanship with Modern Language Representation Models -- ANN Based Handwritten Digit Recognition and Equation Solver -- Hyperspectral Imaging in Document Forgery -- Optimized Usability Features of Academic Websites using Chicken Swarm and Cat Swarm Optimization Algorithm -- Study and Development of Self Sanitizing Smart Elevator -- Predict COVID-19 with Chest X-ray -- Image Segmentation Techniques: A Survey -- Quantum Inspired Support Vector Machines for Human Activity Recognition in Industry 4.0 -- Hybrid System based on Genetic Algorithm and Neuro-Fuzzy Approach for Neurodegenerative Disease Forecasting -- Decentralized Library Management system using Blockchain technology -- Content based Image Retrieval using Deep Learning -- A Deep Learning-Based Feature Extraction Model for Classification Brain Tumor -- Image Classification in Python using Keras -- Predictive Analytics on E-commerce Annual Sales -- A Survey on Deep Learning Methods in Image Analytics -- Journey of Letters to Vectors through Neural Networks -- Accident Risk Prediction and Location Tracking of a Vehicle using Real-Time Data Acquisition from Vehicle Sensors -- Data Augmentation and Fine Tuning the radiography images to detect COVID-19 patients with pre-trained network of Transfer Learning -- Index Optimization using Wavelet Tree and Compression.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789811662881
Additional Edition:
Printed edition: ISBN 9789811662904
Additional Edition:
Printed edition: ISBN 9789811662911
Language:
English
DOI:
10.1007/978-981-16-6289-8
URL:
https://doi.org/10.1007/978-981-16-6289-8
URL:
Volltext
(URL des Erstveröffentlichers)
