Advances in Quantum Inspired Artificial Intelligence Techniques and Applications /

Xehetasun bibliografikoak
Erakunde egilea:	SpringerLink (Online service)
Beste egile batzuk:	Dehuri, Satchidananda (Argitaratzailea), Jena, Monalisa (Argitaratzailea), Chandra Nayak, Sarat (Argitaratzailea), Favorskaya, Margarita N. (Argitaratzailea), Belciug, Smaranda (Argitaratzailea)
Gaia:	XV, 237 p. 57 illus., 24 illus. in color. text
Hizkuntza:	ingelesa
Argitaratua:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edizioa:	1st ed. 2025.
Saila:	Intelligent Systems Reference Library, 274
Gaiak:	Computational intelligence. Artificial intelligence. Engineering > Data processing. Big data. Computational Intelligence. Artificial Intelligence. Data Engineering. Big Data.
Sarrera elektronikoa:	https://doi.org/10.1007/978-3-031-89905-8
Formatua:	Baliabide elektronikoa eBook

Aurkibidea:

1.Quantum-Enhanced Bioinspired Algorithms: An Overview of Optimization and Learning
2.Decoding Market Dynamics: Variational Quantum Circuit in Stock Prediction
3.Quantum Dot Cellular Automata: Breaking Barriers in Electronics Circuitry for Tomorrow's Technologies
4.Quantum Natural Language Processing: Revolutionizing Language Processing
5.Quantum Machine Learning in Climate Science and Climate Change Solutions
6.Quantum Cloud Computing: Key Technologies, Challenges, and Opportunities
7.Security, Privacy, and Trust in Quantum Edge-driven Intelligence: Challenges and Solutions
8.Quantum-Inspired Aspect-Based Sentiment Analysis Using Natural Language Processing
9.The Applications of Quantum Machine Learning in Today's World
10.Unveiling the Role of Internet of Things (IoT) in the Landscape of Quantum Healthcare Monitoring
11.Quantum Neural Networks: Exploring Quantum Enhancements in Deep Learning.

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