Computational efficiency. by Mohanad Faeq Ali (21354273)

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FPR and FNR analysis based on different time steps. by Mohanad Faeq Ali (21354273)

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Performance comparison of cyber security techniques in IoMT healthcare devices. by Mohanad Faeq Ali (21354273)

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Prediction accuracy analysis over time steps. by Mohanad Faeq Ali (21354273)

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Impact of cyberattack types on IoMT devices. by Mohanad Faeq Ali (21354273)

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LSTM algorithm for cyber attack prediction in IoMT. by Mohanad Faeq Ali (21354273)

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IoMT devices and attack overview in the CICIoMT2024 dataset. by Mohanad Faeq Ali (21354273)

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Catalogue of compact radio sources in Messier-82 from e-MERLIN observations by Sibongumusa Shungube (21197363)

“…Source finding was initially performed using Python Blob Detection and Source Finder (PyBDSF).</p><p dir="ltr">The dataset includes two tables detailing the properties of these 36 sources:</p><p dir="ltr"><b>Table 3.1: CASA </b><code><strong>imfit</strong></code><b> Source Catalogue</b></p><p dir="ltr">This table contains source parameters derived using the CASA task <code>imfit</code>. …”

Smart contract and interface code for Nature Energy "A general form of smart contract for decentralised energy systems management" by Lee Thomas (19655773)

“…This provides the modelled electricity network cost data, the smart contract code, and the Python interface scripts described in the Nature Energy Paper  "A general form of smart contract for decentralised energy systems management." …”

Simple implementation examples of agent AI on free energy calculation and phase-field simulation by Toshiyuki Koyama (22828581)

“…</p> <p>Using Gibbs energy calculations and diffusion simulations as examples, we demonstrated the implementation method and usefulness of simple agent AI, where sample python codes are distributed as supplemental materials.…”

Workflow of a typical Epydemix run. by Nicolò Gozzi (8837522)

“…<div><p>We present Epydemix, an open-source Python package for the development and calibration of stochastic compartmental epidemic models. …”

This package of Python scripts implements the proposed unsupervised sentiment analysis approach. It contains a pre-processing script (preprocess.py), a script that calculates BERT... by Xiaohan Yu (7525940)

Performance Benchmark: SBMLNetwork vs. SBMLDiagrams Auto-layout. by Adel Heydarabadipour (22290905)

“…<p>Log–log plot of median wall-clock time for SBMLNetwork’s C++-based auto-layout engine (blue circles, solid fit) and SBMLDiagrams’ implementation of the pure-Python NetworkX spring_layout algorithm (red squares, dashed fit), applied to synthetic SBML models containing 20–2,000 species, with a fixed 4:1 species-to-reaction ratio. …”

Main parameters of braking system. by Honglei Pang (22693724)

“…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”

EMB and SBW system structure. by Honglei Pang (22693724)

“…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”

Raw data. by Honglei Pang (22693724)

“…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”

Reward function related parameters. by Honglei Pang (22693724)

“…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”

The HIL simulation data flowchart. by Honglei Pang (22693724)

“…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”

Hyperparameter Configurations in PPO Training. by Honglei Pang (22693724)

“…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”

Main parameters of steering system. by Honglei Pang (22693724)

“…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”