Load–Displacement curves
Figure 4 shows the load–displacement curves of granite after different thermal treatments. The loading curve comprises three primary stages: the pre-peak linear phase, the pre-peak nonlinear phase, and the post-peak…
Category: Engineering
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Enhancing reliability and efficiency of flight dynamics systems for planetary exploration through KPLO ground operation experience
Despite rigorous testing, validation, and operational preparations during the design and development phases of TDS and FDS, it is undeniable that unforeseen factors inevitably arise during real-world operations. While the individual…
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Salp Navigation and Competitive based Parrot Optimizer (SNCPO) for efficient extreme learning machine training and global numerical optimization
To validate the robustness and credibility of the experimental results, this study exclusively utilizes the CEC 201553 and CEC 202054 benchmark suites. These benchmark functions are systematically classified into distinct categories. For the CEC…
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An effective lossless compression method for attitude data with implementation on FPGA
System framework and key technologies
The FPGA-based attitude data compression system is depicted in Fig. 1. It primarily comprises the following models: data preprocessing model, coding table training model, and residual prediction coding model….
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Industrial applications of large language models
Khurana, D., Koli, A., Khatter, K. & Singh, S. Natural Language processing: state of the art, current trends and challenges. Multimed Tools Appl. 82, 3713–3744 (2023).
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Theoretical and experimental research on long life prediction of the locking system of the space station docking mechanism
Based on assumptions, it can be concluded that,
$${F_{\text{a}}}={F_{\text{d}}}={F_{\text{s}}}={F_{\text{p}}}={F_{\text{b}}}$$
(4)
$$\Delta {F_{\text{a}}}=\Delta {F_{\text{d}}}=\Delta {F_{\text{s}}}=\Delta…
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Modeling radiologists’ cognitive processes using a digital gaze twin to enhance radiology training
Our methodology, as illustrated in Fig. 2a, employs a two-stage training approach to model the complex cognitive processes involved in diagnosing CXR images. To address the challenge of limited eye gaze tracking data1,2, we begin with the VR2…
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A streamlined POCT solution for rapid infectious disease detection
Overview of the detection process
The iPonatic system offers a fully integrated, end-to-end workflow that streamlines infectious disease detection, from sample collection to patient report generation, significantly reducing patient waiting time…
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Insights on using plastic-based dual in-plane nanopore sensors for differentiation and shape determinations of single protein molecules
Scaling effects and noise characteristics for RPS detection of single proteins using in-plane plastic nanopores
The signal-to-noise ratio (SNR) in RPS is defined as the ratio of event amplitude (ΔI) to the root mean square (RMS) noise in the open…
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Calculation of hydrogen dispersion in cushion gases using machine learning
A simplified schematic of the experimental apparatus used in the study by Kobeissi et al.2 is illustrated in Fig. 1. This apparatus was specifically designed to investigate the dispersion of hydrogen with potential cushion gases (N2, CH4, or…
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