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  • Calibration and performance of a Raman-based device for non-invasive glucose monitoring in type 2 diabetes

    Calibration and performance of a Raman-based device for non-invasive glucose monitoring in type 2 diabetes

    Clinical study overview

    The study was performed as an explorative, non-randomized, in-clinic trial of the NIGM device at Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Germany. All…

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  • Reduced graphene oxide-based electrochemical aptasensor for the multiplexed detection of imidacloprid, thiamethoxam, and clothianidin in food samples

    Reduced graphene oxide-based electrochemical aptasensor for the multiplexed detection of imidacloprid, thiamethoxam, and clothianidin in food samples

  • Cicero, N. et al. Monitoring of neonicotinoid pesticides in beekeeping. Nat. Prod. Res. 31, 1258–1262 (2017).

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  • Jeschke, P., Nauen, R., Schindler, M. & Elbert,…

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  • African buffalo optimization with deep learning-based intrusion detection in cyber-physical systems

    African buffalo optimization with deep learning-based intrusion detection in cyber-physical systems

    This manuscript proposes automatic intrusion recognition using the ABOADL-IDS method in the CPS platform. The main intention of the ABOADL-IDS technique is to utilize the FS with an optimal DL approach for the intrusion recognition and…

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  • A multilayer deep autoencoder approach for cross layer IoT attack detection using deep learning algorithms

    A multilayer deep autoencoder approach for cross layer IoT attack detection using deep learning algorithms

    The suggested approach presents a cutting-edge Comprehensive Attack Detection System that uses a Multi-Layered Deep Autoencoder architecture to identify and counteract cyber-attacks accurately. The system ensures a comprehensive defense by…

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  • IoT powered RNN for improved human activity recognition with enhanced localization and classification

    IoT powered RNN for improved human activity recognition with enhanced localization and classification

  • Javeed, M. et al. Physical human locomotion prediction using manifold regularization. Peer J. Comput. Sci. 8, 1105 (2022).

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  • Javeed, M., Mudawi, N., Alabduallah, B.,…

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  • A fine-tuned large language model based molecular dynamics agent for code generation to obtain material thermodynamic parameters

    A fine-tuned large language model based molecular dynamics agent for code generation to obtain material thermodynamic parameters

    Detailed description of the code implementation details please see the GitHub repository.

    Dataset for LAMMPS fine-tuning and evaluation

    Relevant datasets are required to fine-tune and evaluate MDAgent; however, there are currently no suitable…

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  • FEM based thermal and mechanical analysis of comparative study of TIG and A-TIG welding on P91 steel

    FEM based thermal and mechanical analysis of comparative study of TIG and A-TIG welding on P91 steel

    Heat input is the major factor for application of thermal cycle on weld plate. The following equation gives the heat input:

    $$Q = \frac{V*I}{{v*1000}} {\text{kJ/mm}}$$

    (1)

    where V = Voltage (V),…

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  • Electrochemical degradation of Cephalexin on Ti/TiO2/βPbO2 anode modified by sodium dodecyl sulfate

    Electrochemical degradation of Cephalexin on Ti/TiO2/βPbO2 anode modified by sodium dodecyl sulfate

    Characterization of Ti/TiO
    2
    -βPbO
    2
    electrode

    Figures 1a and b display the surface…

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  • A multi-modal sarcasm detection model based on cue learning

    A multi-modal sarcasm detection model based on cue learning

    Setup

    Dataset

    This paper conducted the experiment using the Twitter Multi-modal sarcasm detection Dataset (MSD), which was published by Cai17 in 2019. The data set first collects English tweets containing a picture and some special hashtags (e.g.,…

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