Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission حسب Monika Salesh (15306281)

الموضوعات:

Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission حسب Monika Salesh (15306281)

الموضوعات:

Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission حسب Monika Salesh (15306281)

الموضوعات:

Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission حسب Monika Salesh (15306281)

الموضوعات:

Exploring the integration of metaverse technologies in engineering education through the SAMR model حسب Snezhana Dineva (22444471)

"…It demonstrates the successful implementation of the model in practice and provides examples of effective practices in the context of the CAVE (Cave Automatic Virtual Environment) metaverse. …"

Local Python Code Protector Script: A Tool for Source Code Protection and Secure Code Sharing حسب Pavel Izosimov (20096259)

"…</li></ul><h2>Security and Best Practices</h2><p dir="ltr">By implementing <a href="https://xn--mxac.net/python-app-bundle-shield.html" target="_blank"><b>Python code security best practices</b></a>, including advanced cryptographic methods like <a href="https://xn--mxac.net/python-binary-optimization-compiler.html" target="_blank"><b>asymmetric encryption</b></a> and <a href="https://xn--mxac.net/python-binary-optimization-compiler.html" target="_blank"><b>symmetric encryption</b></a>, the Local Python Code Protector Script strives to keep code better protected during transmission and execution. …"

Bursty model and Refractory model simulation results. (A) Bursty model simulation results ( samples). The production of nascent mRNA occurs in bursts and degrade after delay time <... حسب Ziyan Jin (21021976)

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RNA Velocity model simulation results. (A) Simulation results for RNA Velocity model without delay ( samples). The simulation is composed of an up-regulation phase (both production... حسب Ziyan Jin (21021976)

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Modeling lung cancer AST network and its perturbation with a SOX2 degrader. (A) Lung Cancer AST Network and the corresponding stochastic equations. Parameters are , , , , , , , , w... حسب Ziyan Jin (21021976)

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Dialogue Propositional Content Replacement (DPCR) code حسب Jacopo Amidei (10511297)

"…<p dir="ltr">This resource consists of a Python notebook with code that was implemented for a research project that developed a novel method for testing the components of theories of (dialogue) coherence through utterance substitution. …"

Exercises of the AAU-DA Summer School 2025 حسب Leire Retegui-Schiettekatte (18008506)

Tracking module training details. حسب Khelina Fedorchuk (19130089)

Segmentation module training details. حسب Khelina Fedorchuk (19130089)

Five Operator Lattice Simulation حسب James McDaniel (22522571)

"…</p><p dir="ltr">Running the included file <code>five_operator_lattice_sim.py</code> (Python 3.14 + NumPy 2.1) reproduces the dynamic interactions and figures reported in Appendix A of the paper, generating time-series data that demonstrate operator balance, instability, and renewal cycles.…"

Reaction Alignment of the Tricarboxylic Acid (TCA) Cycle Network. حسب Adel Heydarabadipour (22290905)

Graphical abstract of HCAP. حسب Mohanad Faeq Ali (21354273)

"…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …"

Recall analysis. حسب Mohanad Faeq Ali (21354273)

"…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …"

Convergence rate analysis. حسب Mohanad Faeq Ali (21354273)

"…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …"

Computational efficiency. حسب Mohanad Faeq Ali (21354273)

"…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …"

Analysis of IoMT data sources. حسب Mohanad Faeq Ali (21354273)

"…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …"