A) Schematic representation of the extended SEIR model, incorporating additional compartments to account for disease-related mortality. حسب Nicolò Gozzi (8837522)

Computing speed and memory usage. حسب David Berling (22170661)

"…Evaluation of the original model for different spatial volumes was not possible due to hard coding of these parameters in the published application. …"

6. Motif Code Theory حسب William Terry (22279591)

"…<p dir="ltr">The Motif Code Theory (MCT) simulation code, mct_unified_code.py, is a Python 3.9 script that models the universe as a time-dependent directed multigraph G(t) = (V(t), E(t)) with N=10^7 vertices (representing quantum fields/particles) and edges (interactions). …"

Comparison of tools with features similar to <i>bmdrc,</i> and a descriptions of the modules within the <i>bmdrc</i> package.  حسب David J. Degnan (13886280)

"…The smaller boxes within the larger boxes represent individual functions within the <i><i>bmdrc</i></i> Python library.…"

Workflow of segmentation model creation and application. حسب Vincent Hickl (16947429)

Differences in compartment weights explain differences between EEG and ECoG. حسب Joseph James Tharayil (21416715)

Simplified calculation methods produce inaccurate signals. حسب Joseph James Tharayil (21416715)

BlueRecording simulates whisker-flick EEG. حسب Joseph James Tharayil (21416715)

BlueRecording simulates hippocampal LFP. حسب Joseph James Tharayil (21416715)

CompuCrawl: Full database and code حسب Richard Haans (6324669)

"…</li><li><i>08 Word2Vec work with aligned models.py</i>: Python script which loads the trained Word2Vec models to trace the development of the embeddings for the terms “sustainability” and “profitability” over time.…"

Output datasets from ML–assisted bibliometric workflow in African phytochemical metabolomics research حسب Temitope Omogbene (18615415)

"…<p dir="ltr">This collection contains supplementary datasets generated during the machine learning–assisted bibliometric workflow for metabolomics and phytochemical research. The datasets represent sequential outputs derived from the integration and harmonisation of bibliographic metadata from <b>Scopus</b>, <b>Web of Science (WoS)</b>, and <b>Dimensions</b>, processed via R and Python environments.…"

Numerical data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability" حسب Tian-Ren Jin (18781930)

"…<p dir="ltr">This data set contains the data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability". We numerically simulate the bias of noisy probabilistic error cancellation with noisy Pauli operations and the bias of error model violation.…"

Performance Benchmark: SBMLNetwork vs. SBMLDiagrams Auto-layout. حسب 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. …"

Probabilities of normal and various cyber attack types over time sequence. حسب Mohanad Faeq Ali (21354273)

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

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Recall analysis. حسب Mohanad Faeq Ali (21354273)

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FPR and FNR analysis based on varying cyber attack types. حسب Mohanad Faeq Ali (21354273)

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

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Prediction accuracy on varying attack types. حسب Mohanad Faeq Ali (21354273)

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<b> </b> Precision analysis. حسب Mohanad Faeq Ali (21354273)

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