Editorial: AI-Enhanced Computing and Digital Transformation
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Abstract
Artificial intelligence (AI), machine learning (ML), and advanced computing techniques are now central to the digital transformation journey, reshaping industries, academia, and society. This special issue of the Journal of Informatics and Web Engineering on AI-Enhanced Computing and Digital Transformation brings together contributions that reflect both technical innovation and societal applications. The featured articles span optimization methods, software quality improvements, data augmentation techniques, intelligent mobile applications, blockchain-based governance systems, and disaster management platforms. Together, they illustrate how computational advances not only strengthen efficiency and accuracy but also enable resilience in the face of global challenges. From a technical standpoint, metaheuristic algorithms, hybrid learning models, and refactoring strategies are pushing the boundaries of optimization and software reliability. At the data level, challenges such as imbalance, redundancy, and scalability are being addressed through novel augmentation and hybridization techniques, ensuring more robust predictions. Beyond computation, AI-powered applications are transforming healthcare, education, agriculture, and financial governance, while blockchain-based systems enhance transparency and accountability. In addition, disaster management frameworks integrating big data, hydro-informatics, and real-time monitoring are redefining preparedness in flood-prone regions. Collectively, these works showcase the breadth of AI-enhanced computing as a catalyst for systemic digital transformation, shaping a smarter, more sustainable, and interconnected future.
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