Deep Quantum Neural Networks:: AI for 6g/7g Communication Systems
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Quantum Neural Networks in 6G/7G Communication Systems.-Tensor Networks in Quantum Neural Network Architectures.- n-Sci: Bridging Science and Quantum Neural Networks.- Quantum-Assisted Channel Estimation for 6G/7G Networks.- n-Sci and Tensor Networks in Smart City and IoT Deployments.- Quantum Neural Networks in Satellite and Space-Based 7G Communications.- Enhancing URLLC in 6G/7G Using Quantum Neural Networks.- Energy-Efficient 7G Networks Using Tensor and Quantum Neural Networks.- Quantum Neural Networks for Security in 6G/7G.- New Paradigms in Edge Computing with Quantum Neural Networks.- Towards Standardization: Quantum Neural Networks in Global 7G Standards.- Quantum Neural Networks for Autonomous 7G Vehicle Communication.- Quantum Neural Networks in Healthcare and Critical Systems.- Tensor Networks and n-Sci: The Road to Beyond 7G.- Quantum Neural Networks in Post-7G Communication.
Dr. Abhishek Kumar specializes in deep learning and neural networks, with numerous publications in top-tier journals and conferences. His research has significantly contributed to the development of generative models for medical image analysis, particularly in the early diagnosis of neurological disorders. He has been honored with multiple awards for his groundbreaking work in AI applications in healthcare.
Dr. Pramod is a leading expert in the application of computational models to medical problems and editors of many medical books. His research has pioneered the use of AI for early detection of diseases, with a strong focus on neurological conditions.
Dr. Reyes Juárez-Ramírez has two main areas of interest: software engineering and human-computer interaction. His current research focuses on adaptive interfaces for autistic users, affective aspects in intelligent tutors and videogames, and affective aspects of users in intelligent spaces.
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