The experimental pipeline was implemented and executed on Google Collaboratory, utilizing GPU acceleration for training. The environment provided a reproducible, cloud-based setup with integrated visualization and logging. Training, validation,…
Category: 7. Maths
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A chaotic parallel hash engine with dynamic stochastic diffusion for blockchain and cloud security
As stated previously, a secure hash function must possess strong collision resistance and produce an output that exhibits uniform distribution and sensitivity to slight changes. This chapter delves into the performance of the CPHDSD algorithm in…
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Generative AI-assisted clinical interviewing of mental health
Design
This study builds upon data collected in9, where participants with or without mental health diagnoses completed standardized rating scales dedicated to measure specific mental disorders9. developed and collected open-response questions from…
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Exploring novel soliton, wave solutions, and modulation instability analysis for the (3+1)-dimensional KP-SKR equation using the improved generalized Riccati equation mapping approach
Methodology
This section presents the detailed implementation of IGEMM, described in section 2, to the (3+1)-dimensional Lax integrable KP-SKRE in Eq.(1).
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Assume…
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The generalized quantum Stein’s lemma and the second law of quantum resource theories
Nielsen, M. A. & Chuang, I. L. Quantum Computation and Quantum Information: 10th Anniversary Edition (Cambridge Univ. Press, 2011)
Kuroiwa, K. & Yamasaki, H. General quantum resource theories: distillation, formation and consistent resource…
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A self-controlled reconfigurable intelligent surface inspired by optical holography
Saad, W., Bennis, M. & Chen, M. A vision of 6G wireless systems: applications, trends, technologies, and open research problems. IEEE Netw. 34, 134–142 (2019).
Google Scholar
Khan, L. U.,…
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Expressive equivalence of classical and quantum restricted Boltzmann machines
Theoretical intuition
Challenges in training generic QBMs stem from non-trivial estimation of model gradients14. As outlined in Methods, consider a QBM defined by a parametrized non-commuting Hamiltonian of the form H = ∑iθiHi, where θi…
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Automatic network structure discovery of physics informed neural networks via knowledge distillation
Physics structure-informed neural network
To achieve an automatic, physics informed, and interpretable NN structure extraction mechanism, the Ψ-NN method consists of three components: (A) physics-informed distillation; (B) network parameter…
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Novel Helmholtz resonators parallel to lateral closed resonators for sensing applications
FEM methods characterize the transmission of wave within the intended structure. The above design was simulated in a 3D model environment in COMSOL owing to the achieved parameters. In this section, the numerical simulation is conducted for the…
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