Digital Transformation in Interdisciplinary Sciences
Description
This proceedings volume discusses the transformative impact of AI, digital transformation, and data science across education, literature, linguistics, and interdisciplinary sciences. It delves into how AI-driven personalized learning, immersive virtual and augmented reality, and adaptive systems are reshaping education by fostering inclusivity, creativity, and innovative teaching methods. In literature and linguistics, the book highlights AI-assisted literary analysis, machine translation, and digital preservation, offering new perspectives on language patterns and storytelling. It also examines how AI is enhancing interdisciplinary research, promoting cross-disciplinary collaboration, and enabling data-driven insights in social sciences and the digital humanities. With a focus on ethical considerations and the integration of technology into diverse fields, this insightful collection is ideal for academics, professionals, and policymakers, bridging AI-driven innovation and practice to offer a holistic view of how technology is reshaping society across multiple domains.
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Content
A Review of AI for Curriculum Development and Improvement in Education.- Intelligent Healthcare: Progress in Machine Learning and IoT Solutions.- Agile Leadership and Strategy: A Case Study from Bahrain Polytechnic.- Advanced AI-Driven Thematic and Narrative Analysis: Exploring Deep Learning in Literature.- Intersection of Technology and Humanity through AI with Digital Twins for Sustainability and Global Equity.- Designing Augmented Reality Resources Framework for Contemporary Education.- Investing technology in the mutation process holds immense potential in combating fraud.- Unlocking Potential: Transformative Strategies to Conquer Language and Knowledge Barriers in Higher Education Institutions.- Navigating AI Ethical Dilemmas: A Marxist Technological Perspective and Governance Pathways.- Advancements in Fault Detection Techniques for Optical Fiber Networks: A Comprehensive Review.- Generative AI-based Approach for Scalable and Cost-Effective Sustainable Urban Planning using Satellite Imagery.- Digitalization of Warehouse Management: Real-Time Pallet Tracking Using YOLO and CBAM-Enhanced Deep Learning Models.- Enhancing Facial Emotion Recognition Accuracy Through Face Landmark Detection.