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Advances in Artificial Intelligence: Efficiency, Reliability, and Innovations in Machine Learning to Healthcare, and Blockchain [Kõva köide]

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  • Formaat: Hardback, 195 pages, kõrgus x laius: 235x155 mm, 1 Illustrations, black and white
  • Sari: Adaptation, Learning, and Optimization
  • Ilmumisaeg: 14-May-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032123615
  • ISBN-13: 9783032123619
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Advances in Artificial Intelligence: Efficiency, Reliability, and Innovations in Machine Learning to Healthcare, and BlockchainSuurem pilt
  • Formaat: Hardback, 195 pages, kõrgus x laius: 235x155 mm, 1 Illustrations, black and white
  • Sari: Adaptation, Learning, and Optimization
  • Ilmumisaeg: 14-May-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032123615
  • ISBN-13: 9783032123619
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783032123619.html
Artificial intelligence is transforming the way we live, work, and heal. But true progress depends on more than raw powerit requires systems that are efficient, reliable, and trustworthy.



Advances in Artificial Intelligence: Efficiency, Reliability, and Innovations in Machine Learning, Healthcare, and Blockchain explores cutting-edge breakthroughs across machine learning, healthcare, and blockchain. From interpretable tensor models and life-changing medical applications to secure decentralized learning and safer large language models, this book highlights how innovation can meet responsibility.



Written by leading researchers, this book is an essential resource for anyone looking to understand and shape the next generation of AI.
1. EM Algorithm for Tensor Network Logistic Regression based on
Polya-Gamma Augmentation.-
2. Reproducibility Analysis for Results of Coupled
Tensor Decompositions Based on Federated Learning.-
3. Image-based Skin
Disease Classification Using Transfer Learning Model and Fusion Strategy.-
4.
A High Precision Symptom Prediction and Diagnosis of Atrial Fibrillation
Using CNN and LSTM with Multimodal Feature Fusion Technique.-
5. Personalised
Profiling in Mental Health: A CAT-based Approach for Maternal Well-being and
Mood Disorders.