Application of Artificial Intelligence and Semantic Mining Technology
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 239
Special Issue Editor
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) and semantic mining technology have revolutionized numerous fields, offering unprecedented opportunities for innovation and advancement. This Special Issue is a comprehensive exploration of the extensive applications of AI and semantic mining technology across diverse domains, spanning engineering, physics, and multidisciplinary spheres. With AI's exponential growth and semantic mining's refined methodologies, the potential for transformative impacts has never been greater. This issue seeks to elucidate the multifaceted landscape of AI and semantic mining applications, showcasing innovative research, methodologies, and practical implementations.
AI and semantic mining techniques are reshaping traditional practices and enabling groundbreaking advancements in engineering. From predictive maintenance in industrial machinery to intelligent transportation systems optimizing traffic flow, integrating AI and semantic mining enhances efficiency, reliability, and safety across various engineering domains. Moreover, in the burgeoning field of renewable energy, AI-driven optimization algorithms facilitate efficient resource management, driving sustainable development and mitigating environmental impacts.
In physics, AI and semantic mining technologies are revolutionizing research methodologies, enabling data-driven discoveries and accelerating scientific breakthroughs. Machine learning algorithms empower physicists to analyze vast datasets, uncover hidden patterns, and simulate complex phenomena with unprecedented accuracy. Furthermore, semantic mining techniques facilitate knowledge discovery from large-scale scientific literature, expedite the dissemination of research findings, and foster interdisciplinary collaborations.
Beyond traditional disciplines, the multidisciplinary nature of AI and semantic mining fosters innovation at the intersection of diverse fields. In healthcare, AI-powered diagnostic systems are revolutionizing medical imaging, enabling early detection of diseases and personalized treatment plans. Semantic mining of electronic health records revolutionizes clinical research, uncovering novel insights into disease mechanisms and treatment outcomes. Similarly, AI-driven algorithms are revolutionizing investment strategies in finance, enabling real-time risk assessment and informed decision-making in volatile markets.
As the technological landscape continues to evolve, integrating AI and semantic mining technology holds immense promise for addressing global challenges and driving societal progress. This Special Issue aims to catalyze innovation, foster interdisciplinary dialogue, and pave the way for a future powered by intelligent technologies by harnessing the collective expertise and collaboration of researchers and practitioners across disciplines.
Dr. Haitao Zheng
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- semantic mining technology
- engineering applications
- physics applications
- multidisciplinary
- predictive maintenance
- renewable energy
- machine learning
- scientific discovery
- healthcare
- finance
- interdisciplinary collaboration
- innovation
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