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Information Systems for Intelligent Systems : Proceedings of ISBM 2024, Volume 5 / edited by Andres Iglesias, Jungpil Shin, Bharat Patel, Amit Joshi.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online

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Format:
Book
Contributor:
Iglesias, Andrés, Editor.
Shin, Jungpil., Editor.
Patel, Bharat, Editor.
Joshi, Amit, Editor.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1255
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Engineering--Data processing.
Engineering.
Business information services.
Computational Intelligence.
Artificial Intelligence.
Data Engineering.
IT in Business.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Data Engineering.
IT in Business.
Physical Description:
1 online resource (XIV, 633 p. 194 illus., 153 illus. in color.)
Edition:
1st ed. 2025.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Summary:
This book includes selected papers presented at World Conference on Information Systems for Business Management (ISBM 2024), held in Bangkok, Thailand, during September 12–13, 2024. It covers up-to-date cutting-edge research on data science, information systems, infrastructure and computational systems, engineering systems, business information systems, and smart secure systems.
Contents:
EnhanceNet: Rethinking Model Scaling For Convolutional Neural Network
Image Enhancement and Photo Restoration for DeMoire Datasets using GAN
Artificial Intelligence: Economic Impact, Labor Productivity, and Policy Implications
Future Prospects of Work in the Age of AI and Block Chain
Comparison of Classification Algorithms to Analyze Important Factors on Customer Satisfaction: Case Study PT. Shopee International Indonesia
Revitalising Bengaluru's Tourism Landscape: An urban design vision rooted in Vijayanagar empire heritage
The Vital Role of Additionality in Renewable Energy Generation for Sustainable Integration of Green Hydro-gen – Systematic Literature Review
Security of Network using Machine learning and Biometrics
A Critical Analysis of Fons Trompenaars’ Intercultural Research
Transformation of fiscal mechanisms for the development of technological sovereignty of the country's economy
Leveraging Data Augmentation to Achieve Robust Multi-Label Classification of Hindi News
A Deep Analysis of the Integration of Big Data Analytics in Small and Medium-sized Enterprises (SMEs) for Sustainable Development
Use of ICT for performance evaluation in public administration
Decentralized Water Consumption Tracking: A Blockchain Approach
Machine Learning Imbalanced Datasets for Predicting Stillbirth Risk
An Insightful Memory Subsystem Design: DRAM vs. Non-Volatile Memories
A Prologue on Cyber-Physical Systems
Mitigating Cyber Threats: Strategies for Securing Communication Systems in Ghana
Detection Model for Fake News in Bengali Language using SVM and Random Forest
AdaptPhishSysNet: Adaptive Phishing Detection System for Blockchains using Machine Learning
Enhancing Thai Students' English Proficiency through One-on-One Interaction with Native Speakers
A Synergistic Approach to Analysis of Variance (ANOVA) Problem-Solving Using Machine Learning
Designing Human-centric AI Mental Health Chatbots: A Case Study of Two Apps
Curriculum Learning for Assessing Thyroid Nodules Using Imbalanced Ultrasound Images
Deep Learning for Real-Time Diagnostics of Cold At-mospheric Plasma
AI Innovations in Accessibility: Advancing Assistive Technologies for Diverse Communication Needs
Resource-optimized solutions for effective network intrusion detection systems in cloud environments
Comprehensive Review of Techniques for Forecasting Electricity Consumption.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9617-47-2
OCLC:
1524424005

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