Proposed model
This study proposes an object-centric multi-scene video anomaly detection algorithm for UAV surveillance videos. Figure 1 shows the overview of the proposed UAV based anomaly detection system. In this work, an object-centric…
Category: Engineering
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Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data
Collected data analysis
This study developed and rigorously assessed its models using meticulously gathered field data from a Middle Eastern production unit. Table 1 offers a comprehensive statistical overview of this dataset, detailing key input…
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Research on the material properties of concrete in subway stations after in service for 50 years
Kim, M. S. & Lee, S. S. Design study of steel fibre reinforced concrete shaft lining for swelling ground in toronto, Canada. Appl. Sci. 11, 3490. https://doi.org/10.3390/app11083490 (2021).
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Three-dimensional surface deformation field monitoring and influencing factors analysis in mountainous areas based on SBAS-INSAR technology (Tianjin, China)
Data
Sentinel-1 is a radar satellite developed by the European Space Agency as part of the Copernicus Global Earth Observation Project33. It is designed for all-weather, day-and-night radar imaging missions, serving both land and ocean…
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Fusion of microscopic and diffraction images with VGG net for budding yeast recognition in imaging flow cytometry
The comprehensive process of budding yeast recognition
This study comprised several sequential steps, elucidated through the diagram in Fig. 4. In summary, yeast cells were cultured and measured using the MDIFC system. Paired microscopic and…
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Deep reinforcement learning-based controller for DC-link voltage regulation and voltage sag compensation in a solar PV-integrated UPQC system
A hybrid solution that improves power quality and guarantees dependable grid operation is presented by the combination of solar photovoltaic (SPV) systems and unified power quality conditioners (UPQC). In addition to adding renewable energy to…
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Enhanced soft error resilience of NBTI-tolerant dual mode Schmitt trigger circuit
In this section, all evaluated results have been presented and discussed. For better understanding, DC and transient characteristics are studied in relation to the performance of all reported and proposed circuits in different operating…
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Advanced hybrid machine learning models with explainable AI for predicting residual friction angle in clay soils
As mentioned earlier, the study employed two advanced hybrid ensemble learning techniques (RL-GBM and Grownet) and a stacking ensemble framework to predict the RSS of clay soils. A summary of the research workflow is presented in Fig. 1.
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A non-anatomical graph structure for boundary detection in continuous sign language
Rastgoo, R., Kiani, K., & Escalera,S. Diffusion-Based Continuous Sign Language Generation with Cluster-Specific Fine-Tuning and Motion-Adapted Transformer. IEEE Computer SocietyConference On Computer Vision And Pattern Recognition Workshops, pp….
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A novel stochastic approach for reliable design of advanced frugal products
The hybrid methodology outlined in this paper combines the best of deterministic and stochastic approaches to design. In particular, the SFA combines the deterministic ability of honing in on a proper design with the stochastic evaluation of…
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