• Tuotekuvaus

  This book extends the first volume with contributions that advance the state of the art and demonstrate their impact in real-world applications. In a few years, the convergence of artificial intelligence (AI) and quantum computing has moved from speculation to concrete prototypes and tools. Key Highlights• Health and Precision Medicine: Deep learning and hybrid quantum–classical models support osteoporosis screening from dental radiographs, Alzheimer’s staging with 3D MRI, EEG-based cognitive-state assessment, and HIV/TB biomarker classification, strengthening prevention, diagnosis, and personalized treatment. • Education, Human–AI Interaction and Fairness: An automatic reviewer of handwritten flowcharts scales feedback in programming courses, while a benchmarking study on speaker ID and gender recognition analyzes bias; quantum granular computing provides a Hilbert-space framework for advanced teaching and research. • Sustainable Production, Cities, and Environment: Vision systems for welding defects, cucumber disease detection, and analogue water-meter digitization improve manufacturing quality, reduce food waste, and enable transparent water management, alongside work on electric fleets, mobile robots, and sea turtle monitoring. • Data-Centric and Trustworthy AI for the Digital Economy: GAN-based synthetic tabular data, decision-support for cryptocurrency markets, and benchmarks for intrusion detection and malware classification offer tools for scarce or volatile data, with emphasis on robustness, interpretability, and reproducible evaluation. • Quantum Algorithms, Hardware and Software Infrastructure: Chapters address quantum optimization (QAOA, adiabatic 3-SAT), quantum error correction and superconducting devices, plus experimental QKD, while a C-to-QIR compiler and quantum granules framework provide software and conceptual support for hybrid systems. •Optimization and Intelligent Systems: Fuzzy fractal search and fuzzy dragonfly metaheuristics optimize neural architectures and controllers and, together with dynamic hypernetworks and RL-based fleet planning, show how advanced optimization can be embedded in practical engineering workflows. This book is aimed at researchers, graduate students, and practitioners seeking rigorous, application-oriented work at the AI–quantum interface. By linking methodological advances with SDG-aligned use cases in health, education, infrastructure, energy, and security, it offers a concise blueprint for how quantum-aware intelligent technologies can support more resilient and sustainable societies.

• Tuotetiedot

  • Kustantaja / Valmistaja Springer Nature Switzerland AG
  • ISBN 9783032180490
  • Tuotekoodi 9783032180490
  • Alanimike Applications
  • Toimittanut Anabel Martinez-Vargas; Oscar Humberto Montiel Ross; Ulises Orozco-Rosas
  • Sarja Studies in Computational Intelligence
  • Kieli Englanti
  • Thema-luokitus Tietojenkäsittelytiede; Tietojenkäsittelytieteen matemaattinen teoria; Tekoäly
  • Ilmestymispäivä 28.10.2026
  • Vuosi 2026
  • Tuoteryhmä Ulk talous, yhteiskunta
  • Tuotepääryhmä Ulkomaiset tietokirjat
  • Tuotelinja Kirjat
  • Sivumäärä 636
  • Pituus (mm) 235
  • Leveys (mm) 155
  • Tuotemuoto Kovakantinen
  • Tuoteturvallisuusyhteystiedot Springer Nature Customer Service Center GmbH, ProductSafety@springernature.com, Europaplatz 3,69115 Heidelberg, Germany, 69115, Heidelberg
  • ALV 13,5%

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