Data acquisition and experimental paradigm
Participants and ethical considerations
The experimental protocol was designed in accordance with the Declaration of Helsinki and approved by the institutional review board43,44. A total of \(N = 15\)…
Category: 7. Maths
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Interpretable machine learning-guided plasma catalysis for hydrogen production
Global CO2 Emissions from Transport by Sub-sector in the Net Zero Scenario, 2000–2030 (International Energy Agency, 2022); https://www.iea.org/data-and-statistics
Anika, O. C. et al. Prospects of low and zero-carbon renewable fuels in 1.5-degree…
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Exploring entropy measures in polymer graphs using logarithmic regression model
Irfan, M., Rehman, H., Almusawa, H., Rasheed, S. & Baloch, I. A. M-Polynomials and topological indices for line graphs of chain silicate network and H-naphtalenic nanotubes. J. Math. 2021, 5551825 (2021).
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Diagnostics of diabetic retinopathy based on fundus photos using machine learning methods with advanced feature engineering algorithms
Ong, K. L. et al. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: A systematic analysis for the Global Burden of Disease Study 2021. Lancet402, 203–234 (2023).
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Secure and energy-efficient transmission in UAV-assisted intelligent reflecting surface networks
Problem transformation to RL framework
Accordingly, the optimization task can be formulated as a Markov Decision Process (MDP) characterized by the quintuple \({\mathcal{M}} = \{ {\mathcal{S}},{\mathcal{A}},{\mathcal{P}},{\mathcal{R}},\gamma \}\)….
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Block segmentation in feature space for realtime object detection in high granularity images
The hits in the pixel sensors are analogs of small-scale features in a visual image, since the hit resolution is \(\mathcal O\)(10 \(\mu\)m) and two particles can record hits separated by \(\mathcal O\)(100 \(\mu\)m). Analogously to…
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CryoEMNet driven symmetry-aware molecular reconstruction through deep learning enhanced electron microscopy
Singh, I., Singh, S. K., Kumar, S., & Aggarwal, K. Dropout-VGG based convolutional neural network for traffic sign categorization. In Congress on Intelligent Systems. Lecture Notes on Data Engineering and Communications Technologies (eds…
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Kinetic-roughening diagrams between Kardar–Parisi–Zhang–like and Berezinskii–Kosterlitz–Thouless rough surfaces for steady crystal growth
Microscopic model
We adopted a restricted solid-on-solid (RSOS) model24,25 on a square lattice with nearest-neighbour (nn) height differences being restricted to zero or ± one. It should be noted that the height difference \(\Delta h\) in the…
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Simulation of personalized english learning path recommendation system based on knowledge graph and deep reinforcement learning
This study proposes an online personalized English learning path recommendation method that integrates knowledge graphs with deep reinforcement learning, aiming to achieve precise modeling of individual learner differences and dynamic…
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Comparative study of indoor positioning datasets focusing on localization accuracy success rate and floor classification
This section provides a critical analysis of four useful datasets utilized in indoor localization research: the BLE-based indoor localization dataset25, the UJIIndoorLoc dataset21, the TUJI dataset23, and the SODIndoorLoc dataset24. Each dataset…
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