Applied Machine Learning and Data Analytics: 6th International Conference, AMLDA 2023, Lübeck, Germany, November 9–10, 2023, Revised Selected Papers

Author:   M. A. Jabbar ,  Sanju Tiwari ,  Fernando Ortiz-Rodríguez ,  Sven Groppe
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2024
Volume:   2047
ISBN:  

9783031554858


Pages:   276
Publication Date:   07 March 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Applied Machine Learning and Data Analytics: 6th International Conference, AMLDA 2023, Lübeck, Germany, November 9–10, 2023, Revised Selected Papers


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Author:   M. A. Jabbar ,  Sanju Tiwari ,  Fernando Ortiz-Rodríguez ,  Sven Groppe
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2024
Volume:   2047
ISBN:  

9783031554858


ISBN 10:   303155485
Pages:   276
Publication Date:   07 March 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Get it right: Improving Comprehensibility with adaptable Speech Expression of a Humanoid Service Robot.- Process Selection for RPA Projects with MDCM: The Case of Izmir Bakircay University.- The Metaverse: A Multidisciplinary Perspective on the Future of Human Interaction.- Blockchain- A Secure And Transparent Solution to Detect Counterfeit Products.- Data-Driven Approach to Network Intrusion Detection System using Modified Artificial Bee Colony Algorithm for Nature-Inspired Cybersecurity.- Forecasting User Payment Behavior using Machine Learning.- An Efficient Image Dehazing Technique using DSRGAN & VGG19.- Benchmarking Machine Learning and Deep Learning Models for Mango Leaf Disease Detection: A Comparative Analysis.- Cassava Syndrome Scan A Pioneering Deep Learning System for Accurate Cassava Leaf Disease Classification.- Aspect-Based Sentiment Classification Framework for Laptop Reviews Using Hybrid Lexicon-Machine Learning Approach.- DESI: Diversification of E-commerce recommendations using Semantic Intelligence.- Adaptive Neuro Fuzzy-Based Depression Detection Model for Students in Tertiary Education.- Optimizing Portfolio for Highly Funded Industries within Budget Constraints for the Period of 2023-2024.- AI Insights: Unleashing Financial Distress Signals.- Intensity-Chromaticity-Luminance (ICL) based Technique for Face Spoofing Detection.- Developers’ Perspective on Trustworthiness of Code Generated by ChatGPT: Insights from Interviews.- Sentiment Analysis of Monkeypox Tweets in Latin America.- Stock Market Prediction with Artificial Intelligence Techniques.- Self-regulated and Participation-driven Text Simplification – The Impact of the Forthcoming AI Regulation on NLM-generated Accessibility-enhanced Communication.

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