يعرض 141 - 160 نتائج من 197 نتيجة بحث عن '(( python practical implementation ) OR ( python code presented ))', وقت الاستعلام: 0.21s تنقيح النتائج
  1. 141

    MSc Personalised Medicine at Ulster University حسب Steven Watterson (100045)

    منشور في 2025
    "…</b> Introducing computational approaches to studying genes, proteins or metabolites, this module teaches Python coding, data analysis and how to work with the databases that support data analysis.…"
  2. 142

    <b>GFAP Degradome Foundation Atlas</b> حسب Axel Petzold (7076261)

    منشور في 2025
    "…To extract you can use the bash terminal command: <br><b><i>tar -xvJf GFAP_Degradome_Foundation_Atlas_v3.tar.gz</i></b></p><p dir="ltr"><br></p><h3>Codes</h3><p dir="ltr">Dataset generation is reproducible using three open-source tools:<br><b>Python</b>, <b>BLAST</b>, and <b>SAS</b>.…"
  3. 143

    entity-poster.pdf حسب Evgeny Gorbunov (21771560)

    منشور في 2025
    "…<p dir="ltr">We update on status of development Entity Toolkit, a next-generation Particle-in-Cell (PIC) code designed to model plasmas in extreme astrophysical environments, such as black hole accretion disks and jets, neutron star magnetospheres, pulsar winds, and intracluster media. …"
  4. 144

    LNP drug delivery image data حسب Philip Harrison (8899735)

    منشور في 2025
    "…</div><div><br></div><div><u>Python code:</u></div><div><a href="https://github.com/pharmbio/phil_LNP_modelling">https://github.com/pharmbio/phil_LNP_modelling</a><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><p></p>…"
  5. 145

    Demonstration of Isosteric Heat of Adsorption Calculation using AIFs and pyGAPs حسب Jack Evans (11275386)

    منشور في 2025
    "…</p><p dir="ltr">The calculation is performed using the Clausius-Clapeyron method as implemented in the <code><strong>pyGAPS</strong></code> Python library for adsorption science. …"
  6. 146

    <b>Alpha-Synuclein Degradome Foundation Atlas</b> حسب Axel Petzold (7076261)

    منشور في 2025
    "…</p><p dir="ltr">Whether your work involves biomarker development, precision neurology, or machine learning, this dataset provides structured, labelled inputs that are ideal for:</p><ul><li>Training supervised models to detect or predict cleavage sites</li><li>Feature extraction from protein sequences</li><li>Clustering or classification of fragment types by mutation or disease context</li><li>Integrating with omics data for multimodal prediction tasks</li></ul><p dir="ltr">Dataset Features:</p><ul><li>Annotated α-synuclein proteolytic fragments</li><li>Includes wild-type and clinically relevant variants</li><li>Tab-delimited ASCII format for compatibility with Python, R, and ML frameworks</li><li>Linked SAS and Python scripts for pipeline reproducibility and updates</li><li>Ready-to-use for computational modelling, AI training, and bioinformatics workflows</li></ul><p dir="ltr">The dataset was generated using a reproducible codes involving Python, BLAST, and SAS. …"
  7. 147
  8. 148

    Supervised Classification of Burned Areas Using Spectral Reflectance and Machine Learning حسب Baptista Boanha (22424668)

    منشور في 2025
    "…<p dir="ltr">This dataset and code package presents a modular framework for supervised classification of burned and unburned land surfaces using satellite-derived spectral reflectance. …"
  9. 149

    Carla Simulator collision scenario DVS Sequences from Bio-inspired event-based looming object detection for automotive collision avoidance حسب Fabian Schubert (13819882)

    منشور في 2025
    "…</li></ul><p dir="ltr">If you only intend to inspect the event data provided here, only the numpy python package is required. To run the looming detection simulation code provided in the repository, installing <a href="https://github.com/genn-team/genn/tree/genn_4_master" rel="noreferrer" target="_blank">PyGeNN 4.9</a> is also necessary.…"
  10. 150

    Measurement data from full-scale fire experiments of battery electric vehicles and internal combustion engine vehicles حسب Nathaniel G. Sauer (22463233)

    منشور في 2025
    "…</li><li><strong>data_heatflux.zip</strong>: ZIP archive containing 12 HDF5 files (readable via Python <code>h5py</code>). Six files (<code>T_XX</code>) record temperature and six (<code>HF_XX</code>) record incident radiative heat flux to plate sensors located along the driver and passenger sides of the vehicle. …"
  11. 151

    Probabilistic-QSR-GeoQA حسب Mohammad Kazemi (19442467)

    منشور في 2024
    "…<p dir="ltr">The code and data are related to the paper Mohammad Kazemi Beydokhti, Matt Duckham, Amy L. …"
  12. 152

    Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event حسب Thomas Clemens Carmine (19756929)

    منشور في 2025
    "…Includes imputation statistics, data dictionary, and the Python imputation code (Imputation_Air_Pollutants_NABEL.py). …"
  13. 153

    Cognitive Fatigue حسب Rui Varandas (11900993)

    منشور في 2025
    "…<br></p><p dir="ltr"><b>HCI features</b> encompass keyboard, mouse, and screenshot data. Below is a Python code snippet for extracting screenshot files from the screenshots CSV file.…"
  14. 154

    Genomic Surveillance of Pemivibart (VYD2311) Escape-Associated Mutations in SARS-CoV-2: December 2025 BioSamples (n=2) حسب Tahir Bhatti (20961974)

    منشور في 2025
    "…<p dir="ltr">This dataset presents computational analyses of two SARS-CoV-2 BioSamples sequenced in December 2025, processed to assess the genomic presence of mutations associated with pemivibart (VYD2311) monoclonal antibody escape. …"
  15. 155

    Trustworthy and Ethical AI for Intrusion Detection in Healthcare IoT (IoMT) Systems: An Agentic Decision Loop Framework حسب ibrahim adabara (22107287)

    منشور في 2025
    "…</p><h2>️ Repository Structure</h2><pre><pre>agentic-ethical-ids-healthcare/<br>│<br>├── src/ # Source code for model, rule engine, and agent<br>│ ├── train_agent.py<br>│ ├── ethical_engine.py<br>│ ├── detector_model.py<br>│ └── utils/<br>│<br>├── data/ # Links or sample data subsets<br>│ ├── CIC-IoMT-2024/ <br>│ └── CSE-CIC-IDS2018/<br>│<br>├── notebooks/ # Jupyter notebooks for training and analysis<br>│<br>├── models/ # Pretrained model checkpoints (.pth, .pkl)<br>│<br>├── results/ # Evaluation outputs and figures<br>│<br>├── requirements.txt # Python dependencies<br>├── LICENSE # MIT License for open research use<br>└── README.md # Project documentation<br></pre></pre><h2>⚙️ Setup and Installation</h2><p dir="ltr">Clone the repository and set up your environment:</p><pre><pre>git clone https://github.com/ibrahimadabara01/agentic-ethical-ids-healthcare.git<br>cd agentic-ethical-ids-healthcare<br>python -m venv venv<br>source venv/bin/activate # On Windows: venv\Scripts\activate<br>pip install -r requirements.txt<br></pre></pre><h2> Datasets</h2><p dir="ltr">This project uses three datasets:</p><table><tr><th><p dir="ltr">Dataset</p></th><th><p dir="ltr">Purpose</p></th><th><p dir="ltr">Source</p></th></tr><tr><td><b>CIC-IoMT 2024</b></td><td><p dir="ltr">Primary IoMT intrusion detection dataset</p></td><td><a href="https://www.unb.ca/cic/datasets/index.html" rel="noopener" target="_new">Canadian Institute for Cybersecurity</a></td></tr><tr><td><b>CSE-CIC-IDS2018</b></td><td><p dir="ltr">Domain-shift evaluation</p></td><td><a href="https://www.unb.ca/cic/datasets/ids-2018.html" rel="noopener" target="_new">CIC Dataset Portal</a></td></tr><tr><td><b>MIMIC-IV (Demo)</b></td><td><p dir="ltr">Clinical context signals</p></td><td><a href="https://physionet.org/content/mimic-iv-demo/2.2/" rel="noopener" target="_new">PhysioNet</a></td></tr></table><blockquote><p dir="ltr">⚠️ Note: All datasets are publicly available. …"
  16. 156

    HCC Evaluation Dataset and Results حسب Jens-Rene Giesen (18461928)

    منشور في 2024
    "…</p><h3>Report Script</h3><p dir="ltr">On the top-level directory you find a <code>report.py</code> file, which is an executable Python script. The only requirement for running this script is a Python 3.6+ interpreter as well as an installation of the <code>numpy</code> package. …"
  17. 157
  18. 158

    Automated Discovery of Semantic Attacks in Multi-Robot Navigation Systems - Research Artifacts حسب Doguhan Yeke (21498410)

    منشور في 2025
    "…<h4>We present the research artifacts for our USENIX Security 2025 submission. …"
  19. 159

    Table 1_From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors.docx حسب A. L. Back (20719049)

    منشور في 2025
    "…A total of 51 descriptors, including elongation and Fourier amplitudes, were extracted, compiled, and computed using Python. The descriptor computation code is provided as a library with this article. …"
  20. 160

    Data Sheet 5_From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors.csv حسب A. L. Back (20719049)

    منشور في 2025
    "…A total of 51 descriptors, including elongation and Fourier amplitudes, were extracted, compiled, and computed using Python. The descriptor computation code is provided as a library with this article. …"