Leveraging 6G, extended reality, and IoT big data analytics for healthcare: A review
In recent years, the healthcare industry has faced new challenges around staffing, human
interaction, and the adoption of telehealth. Technological innovations can improve …
interaction, and the adoption of telehealth. Technological innovations can improve …
Recent trends and advances in fundus image analysis: A review
Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
Comparative performance analysis of quantum machine learning with deep learning for diabetes prediction
Background Diabetes, the fastest growing health emergency, has created several life-
threatening challenges to public health globally. It is a metabolic disorder and triggers many …
threatening challenges to public health globally. It is a metabolic disorder and triggers many …
Multiclass seismic damage detection of buildings using quantum convolutional neural network
The traditional visual inspection technique for damage assessment of buildings immediately
after an earthquake can be time‐consuming, labor‐intensive, and risky. Numerous studies …
after an earthquake can be time‐consuming, labor‐intensive, and risky. Numerous studies …
[PDF][PDF] Applications of quantum computing in telecom e-commerce: Analysis of qkd, qaoa, and qml for data encryption, speed optimization, and ai-driven customer …
R Khurana - Quarterly Journal of Emerging Technologies and …, 2022 - researchgate.net
Quantum computing methods take advantage of the principles of superposition and
entanglement to facilitate parallel computing that is beyond the reach of classical systems …
entanglement to facilitate parallel computing that is beyond the reach of classical systems …
Contemporary quantum computing use cases: taxonomy, review and challenges
Recently, the popularity of using the expressive power of quantum computing to solve
known, challenging problems has increased remarkably. This study aims to develop a clear …
known, challenging problems has increased remarkably. This study aims to develop a clear …
Semiconductor defect detection by hybrid classical-quantum deep learning
With the rapid development of artificial intelligence and autonomous driving technology, the
demand for semiconductors is projected to rise substantially. However, the massive …
demand for semiconductors is projected to rise substantially. However, the massive …
Quantum-inspired machine learning for 6G: fundamentals, security, resource allocations, challenges, and future research directions
Quantum computing is envisaged as an evolving paradigm for solving computationally
complex optimization problems with a large-number factorization and exhaustive search …
complex optimization problems with a large-number factorization and exhaustive search …
Quantum machine learning revolution in healthcare: a systematic review of emerging perspectives and applications
Quantum computing (QC) stands apart from traditional computing systems by employing
revolutionary techniques for processing information. It leverages the power of quantum bits …
revolutionary techniques for processing information. It leverages the power of quantum bits …
Urban quantum leap: A comprehensive review and analysis of quantum technologies for smart cities
Contemporary smart city solutions rely on standardized von Neumann architecture, in which
single data units are coded as “0” or “1.” Conversely, urban quantum technologies rely on …
single data units are coded as “0” or “1.” Conversely, urban quantum technologies rely on …