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Full Description
The book reports state-of-the-art results in Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing in both printed and electronic form.
This book presents original papers on both theory and practice that address foundations, state-of-the-art problems and solutions, and crucial challenges.
Contents
A Deep Learning-Based Study for Cyclone Track Forecasting: Comparative Analysis Using Historical Data from the Bay of Bengal.- Employee Management Support Application for Operation Managers and Its Security.- Text-based Data Analysis for Mental Health Using Explainable AI and Deep Learning.- Using the Internet of Things and Machine Learning to Monitor and Detect COVID-19.- Comparison between the Route Using Improved Detours and Shortest Route on Distributed Key Value Store Based on Order Preserving Linear Hashing and Skip Graph.- Extraction Study of Leaf Area and Plant Height of Radish Seedlings Based on SAM.- A Scalable Middleware for IoT Vulnerability Detection.- Predicting Oil Spills in Real-Time: A Machine Learning and AIS Data-Driven Approach.- Data-driven OCL Invariant Patterns-based Process Model Exploration for Process Mining.- An Analysis of Program Comprehension Process by Eye Movement Mapping to Syntax Trees.- Self-supervised Monocular Depth Estimation and Ego-motion Made Better: A Masking Constraints.- Using Additional Sets of Random Data to Assess Possible Dissaving Risk against Life Expectancy for Elderly People.- A Study on the NFT and Blockchain Technology for Copyright Management.- The Effect of Enterprise Risk Management System on Risk Management Capability and Management Performance.- A Study on the Effect of Omnichannel Customers Acceptance Attitudes and Loyalty: Focusing on UTAUT2.
