Machine learning (ML) techniques are revolutionizing mineral exploration and exploitation by addressing critical challenges of sustainability, efficiency, and resource estimation in geologically complex settings1,2,3,4,5,6,7. This transformation…
Category: 7. Maths
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Novel solitons in the (2+1)-dimensional Heisenberg spin chain via generalized conformable derivatives
This section presents a methodology that uses mEDAM to derive families of solitary waves for the fractional HFSC system. We find different cases by placing different conditions on different parameters. Here are comprehensive answers arranged by…
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A smart grid data sharing scheme supporting policy update and traceability
Jha, A. V. et al. Smart grid cyber-physical systems: Communication technologies, standards and challenges. Wireless Netw. 27(4), 2595–2613 (2021).
Mishra, P., Vidyarthi, A. & Siano, P. Guest…
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Innovating medical education using a cost effective and scalable VR platform with AI-Driven haptics
Simulation algorithms for VR medical training incorporate haptic feedback, real-time performance assessment, and adaptive learning to improve medical education results. A typical clinical scenario is selected to design a virtual environment…
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Advanced QSPR modeling of profens using machine learning and molecular descriptors for NSAID analysis
Aminoprofen is a nonsteroidal anti-inflammatory agent of the propionic acid class, which also includes other drugs, such as ibuprofen. Aminoprofen is chemically designed by substitution of an amine group with the basic structure of ibuprofen….
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Deep learning framework for interpretable supply chain forecasting using SOM ANN and SHAP
The data analysis for this study emphasises predictive modelling and confirmatory analysis. Expectations for this vital part of the study included offering delivery performance, identifying late delivery causes, and early warnings on shipping…
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A data-to-forecast machine learning system for global weather
FuXi Weather operates in a cycling analysis and forecasting mode, utilizing the full range of available satellite data. Because DA is inherently an ill-posed problem38,48 requiring background forecasts to improve analysis accuracy, we developed a…
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A novel hybrid convolutional and transformer network for lymphoma classification
This section presents the experimental results on evaluating the performance of HCTN-LC in lymphoma classification. These results are meticulously organized, accompanied by interpretations, visual interpretations and a comparative analysis that…
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Application of image guided analyses to monitor fecal microbial composition and diversity in a human cohort
This study supports an earlier application using image guided analyses to monitor the fecal microbiome composition determined through 16S rRNA gene sequencing. Here, we extend these observations in a large multi-ethnic human cohort for the first…
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Short-term traffic flow prediction research based on ICEEMDAN-MPE-PSO-DELM model
System overview
In order to obtain more stable traffic flow decomposition data, reduce the interference of the original traffic flow data to the prediction results, and obtain the best model parameter values, this paper optimizes the short-time…
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