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Contextual information based anomaly detection for multi-scene aerial videos
Abstract Aerial video surveillance using Unmanned Aerial Vehicles (UAV) is gaining much interest worldwide due to its extensive applications in monitoring wildlife, urban planning, disaster management, anomaly detection, campus security, etc. These videos are processed and analyzed for strange/odd/anomalous patterns, which are essential requirements of surveillance. But manual analysis of these videos is tedious, subjective, and laborious. Hence, developing computer-aided systems for analyzing UAV-based surveillance videos is crucial. Despite this interest, in the literature, most of the video surveillance applications are developed focusing only on CCTV-based surveillance videos which are static. Thus, these methods cannot be extended for scenarios where the background/context information is dynamic (multi-scene). Further, the lack of standard UAV-based anomaly detection datasets has restricted the development of novel algorithms. In this regard, the present work proposes a novel multi-scene aerial video anomaly detection dataset with frame-level annotations. In addition, a novel Computer Aided Decision (CAD) support system is proposed to analyze and detect anomalous patterns from UAV-based surveillance videos. The proposed system holistically utilizes contextual, temporal, and appearance features for the accurate detection of anomalies. A novel feature descriptor is designed to effectively capture contextual information necessary for analyzing multi-scene videos. Additionally, temporal and appearance features are extracted to handle the complexities of dynamic videos, enabling the system to recognize motion patterns and visual inconsistencies over time. Furthermore, a new inference strategy is proposed that utilizes a few anomalous samples along with normal samples to identify better decision boundaries. The proposed method is extensively evaluated on the proposed UAV anomaly detection dataset and performs competitively with respect to state-of-the-art methods with an AUC of 0.712.
Association between total and regional body fat measured by dual-energy X-ray absorptiometry and apolipoprotein B
Artificial intelligence–based diabetes risk prediction from longitudinal DXA bone measurements
Sustainable storage of Cocoyam Cormels using Ash lined clay pits for post harvest preservation
Three-dimensional surface deformation field monitoring and influencing factors analysis in mountainous areas based on SBAS-INSAR technology (Tianjin, China)
Earthquake anxiety and sleep quality among adolescent survivors 9–12 months after the great earthquakes in Türkiye: a cross-sectional study
A DFT based insights for molecular designing of pyridine dipyrrolide core with benzodithiophene-based acceptors for organic solar cells
Genome-wide identification of lipid transfer proteins in Sorghum bicolor and discovery of flower-specific promoters
Optical sensitivities of current gravitational wave observatories at higher kHz, MHz and GHz frequencies
Abstract GEO 600, KAGRA, LIGO, and Virgo were built to observe gravitational waves at frequencies in the audio band, where the highest event rates combined with the largest signal to noise ratios had been predicted. Currently, hypothetical sources of cosmological origin that could have produced signals at higher frequencies are under discussion. Despite relevant previous research by other authors, it is not widely known that the current interferometric GW observatories have a frequency comb of high optical sensitivity that encompasses these high frequencies. Here we calculate the high-frequency noise spectral densities of operating GW observatories under the justified assumption that photon shot noise is the dominant noise source. We explain the underlying physics of why high sensitivity is achieved for all integer multiples of the free spectral ranges of the observatory’s resonators when an interferometer arm is not orientated perpendicular to the propagation direction of the GW. Proposals for new concepts of high-frequency GW detectors must be compared with the high-frequency sensitivities presented here.
High efficiency adsorption of hexavalent chromium using bioderived activated carbon kinetics, isotherms, and thermodynamics
Abstract Hexavalent chromium (Cr6+), a toxic pollutant in industrial wastewater, poses serious environmental and health risks. This study investigates H₃PO₄-treated palm frond-derived activated carbon (PFTACs) as a low-cost, sustainable adsorbent for Cr6+ removal. PFTACs achieved 99.64% removal efficiency within 90 min at 25 ± 1 °C, with strong performance across a pH range of 2–8. Surface analyses confirmed its mesoporous structure and high surface area, while FT-IR indicated physical adsorption as the dominant mechanism. The process followed pseudo-second-order kinetics and fitted the Langmuir isotherm, suggesting monolayer adsorption. Thermodynamic analysis showed an exothermic nature, with reduced adsorption at higher temperatures. These findings support PFTACs as an effective and environmentally friendly solution for Cr6+-contaminated water treatment.The novelty of this research lies in the development of H3PO4-treated palm frond-derived activated carbon (PFTACs) as an innovative, sustainable adsorbent for hexavalent chromium (Cr6+) removal. The use of palm fronds, an abundant agricultural waste, offers an eco-friendly and cost-effective alternative to traditional adsorbents, contributing to both waste reduction and efficient pollutant removal in industrial wastewater.
Hyperspectral analysis and inversion model study of water content in magnetite
A hybrid variational mode decomposition framework for enhanced cardiac output estimation using impedance cardiography
Design and control of LCC DVR
Application of UiO-66 MOF for rifampicin removal and post-adsorption antimicrobial activity against MRSA
Abstract Water is essential to all living forms, shaping both our planet and the human body. But their great toxicity makes dangerous contaminants like new chemicals, antibiotics, heavy metals, and microbes major dangers to water systems. This article looks at the creation and use of UiO-66, a zirconium-based metal-organic framework (MOF), as a dual-function material for rifampicin adsorption and antibacterial action. Using solvothermal techniques, UiO-66 MOFs were created and characterized by X-ray diffraction (XRD), nitrogen adsorption-desorption, field-emission scanning electron microscopy (FESEM), thermogravimetric analysis (TG), Fourier-transform infrared spectroscopy (FTIR), and Brunauer–Emmett-Teller (BET) analysis. Batch testing maximized factors like pH, starting concentration, adsorbent amount, and contact time to improve rifampicin removal effectiveness. The findings showed a maximum adsorption capacity (qmax) of 542 mg/g under ideal circumstances, suggesting UiO-66 MOF as a reasonably priced and sustainable choice for treating contaminated wastewater. Further research confirmed UiO-66’s potential as a good adsorbent for rifampicin under different settings. At lower doses, UiO-66 nanoparticle cytotoxicity on HL-7702 liver cells revealed great biocompatibility; at higher levels, it caused significant viability loss. The antibacterial effectiveness of UiO-66 MOF nanoparticles, rifampicin, and their combination against Klebsiella pneumoniae and MRSA was assessed; the combination greatly boosted antibacterial activity in comparison to separate therapies. The biocompatibility of the composite with human cells and capacity to damage bacterial cell membranes point to its possible use as an antibacterial and medication delivery system. The research offers a sustainable environmental remediation option by demonstrating that UiO-66, a zirconium-based MOF, efficiently adsorbs rifampicin from wastewater. Its high adsorption capacity of 542 mg/g points to possible treatment of MRSA and K. pneumoniae. See Fig. 1 for more details. Future studies should include property optimization, industrial application scalability, and drug interaction research.