Author: admin

Continue Reading

  • General two-level framework for demand-responsive transport optimization

  • Franco, P., Johnston, R. & McCormick, E. Demand responsive transport: Generation of activity patterns from mobile phone network data to support the operation of new mobility services. Transp. Res. A Policy Pract. 131, 244–266.

  • Continue Reading

  • Detection and characterization of MPs in the human stool: an observational study in Bushehr, Iran

  • Tagg, A. S., Sapp, M., Harrison, J. P. & Ojeda, J. J. Identification and quantification of microplastics in wastewater using focal plane array-based reflectance micro-FT-IR imaging. Anal. Chem. 87 (12), 6032–6040 (2015).

  • Continue Reading

  • Lightweight FMCW radar framework for human activity recognition under limited data conditions

    This section provides an overview of the functional prototype of our proposed framework, which is depicted in Fig. 1. Each component is described in detail in the following subsections.

    Fig. 1
    Fig. 1

    Overview of the proposed lightweight framework for…

    Continue Reading

  • Screenathon 2.0: human–AI collaborative screening applied to patient-generated health data

  • Bergmann, J. et al. Materials & Data: Screenathon 2.0: Human–AI Collaborative Screening Applied to Patient-Generated Health Data. (2025). https://osf.io/hyuxw

  • Page, M. J. et al. The PRISMA 2020 statement: an updated guideline for reporting…

  • Continue Reading

  • A low-latency deep learning framework for volcanic ash cloud nowcasting using geostationary satellite imagery

  • Kristiansen, N. I. et al. Improving model simulations of volcanic emission clouds and assessing model uncertainties, in Natural Hazard Uncertainty Assessment: Modeling and Decision Support, ser. Geophysical Monograph. American Geophysical…

  • Continue Reading

  • Stellingwerff, T., Morton, J. P. & Burke, L. M. A framework for periodized nutrition for athletics. Int. J. Sport Nutr. Exerc. Metab. 29, 141–151 (2019).

    Google Scholar 

  • Ceylan, H. I. Nutritional strategies…

  • Continue Reading

  • Lu, J., Wu, D., Mao, M., Wang, W. & Zhang, G. Recommender system application developments: A survey. Decis. Support Syst. 74, 12–32 (2015).

    Google Scholar 

  • Papadakis, H., Papagrigoriou, A., Panagiotakis, C.,…

  • Continue Reading

  • Design of an in-pipe inspection robotic system (IPIRS) with YOLOv8–LSTM integration for real-time in-pipe navigation

    Design of an in-pipe inspection robotic system (IPIRS) with YOLOv8–LSTM integration for real-time in-pipe navigation

    To robustly evaluate the performance of the proposed IPIRS perception–prediction pipeline, we quantified both the detection accuracy (YOLOv8 module) and temporal prediction accuracy (LSTM module) using class-wise metrics, confidence intervals,…

    Continue Reading