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Book of abstracts · 23–24 May 2024 · Rome, Italy

3rd World Conference on Artificial Intelligence, Machine Learning and Data Science

ISBN (online)
978-81-970290-9-7
ISBN (print)
978-81-970290-5-9
Conference dates
23–24 May 2024
Venue
Rome, Italy
Abstracts
14

Explore the Book of Abstracts for the 3rd World Conference on Artificial Intelligence, Machine Learning, and Data Science, held from May 23-24, 2024, in the enchanting city of Rome, Italy. This compilation not only showcases cutting-edge research and scholarly contributions across these vital fields but also highlights the interdisciplinary dialogues and innovative themes that emerged. Featuring insights from esteemed participants, including keynote speakers renowned in their respective disciplines, this collection encapsulates the spirit of collaboration and forward-thinking that characterized the conference. Delve into these pages to discover the rich tapestry of knowledge woven together at an event that continues to shape future directions in Artificial Intelligence, Machine Learning, and Data Science.

Cite this bookAbstracts of the 3rd World Conference on Artificial Intelligence, Machine Learning and Data Science (2024). Eurasia Conferences, Rome, Italy. ISBN 978-81-970290-9-7.

Abstracts in this book (14)

  1. AI in Engineering: Solid Frameworks and Applications

    Gunar Ernis

    DOI 10.62422/978-81-970290-9-7-001 · registration pendingPDF
  2. Internet of Medical Things (IoMT): The Future of Healthcare

    Prof.Tanzila Saba

    DOI 10.62422/978-81-970290-9-7-002 · registration pendingPDF
  3. Survey on XAI: Different Approaches and Aspects

    Raimondo Fanale

    DOI 10.62422/978-81-970290-9-7-003 · registration pendingPDF
  4. From Rights to Rationale: Assessing the Legal Grounds for an Autonomous Right to Explanation

    Uchenna Nnawuchi, Carlisle George, Florian Kammueller

    DOI 10.62422/978-81-970290-9-7-005 · registration pendingPDF
  5. Applied Method of Anomaly Detection for Machine Health Prognosis

    Yuvraj Patil

    DOI 10.62422/978-81-970290-9-7-006 · registration pendingPDF
  6. Deep Learning-Based Segmentation for Plant Leaf Disease Identification

    Olfa MZOUGH, Itheri Yahiaoui

    DOI 10.62422/978-81-970290-9-7-007 · registration pendingPDF
  7. Impact of Artificial Intelligence Techniques and Green AI Applications for Sustainable Development

    Amit Srivastava

    DOI 10.62422/978-81-970290-9-7-008 · registration pendingPDF
  8. Fault Diagnosis in Wind Turbine Blades using Machine Learning Models through Filtered Cultivation Data

    Manas Ranjan Sethi, Sudarsan Sahoo

    DOI 10.62422/978-81-970290-9-7-009 · registration pendingPDF
  9. CharActER: a proposed AI for teaching Chinese the WRITE Way

    Martin Q. Zhao, Andy D. Digh

    DOI 10.62422/978-81-970290-9-7-010 · registration pendingPDF
  10. Caustics: A Differentiable, GPU Accelerated, Gravitational Lensing Simulator

    Connor Stone

    DOI 10.62422/978-81-970290-9-7-012 · registration pendingPDF
  11. The Dark Side of AI: Unveiling Ethical Dilemmas

    Fatou Sankare

    DOI 10.62422/978-81-970290-9-7-013 · registration pendingPDF
  12. A Digital Library to Promote Use of the World’s Theses and Dissertations

    Edward A. Fox

    DOI 10.62422/978-81-970290-9-7-014 · registration pendingPDF
Book of abstracts: 3rd World Conference on Artificial Intelligence, Machine Learning and Data Science 2024 | Eurasia Conferences