Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

“…However, using most of these software tools and choosing the most appropriate algorithm for a given optimization task require substantial technical expertise, which prevents the majority of researchers from using these methods effectively. To address these issues, we developed a generic platform (called Neuroptimus) that allows users to set up neural parameter optimization tasks via a graphical interface, and to solve these tasks using a wide selection of state-of-the-art parameter search methods implemented by five different Python packages. …”

Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool by Pavel Izosimov (20096259)

“…This script allows for the creation of a <b>Universal Python Module</b> that is optimized for <b>cross-platform compatibility</b> and supports multiple Python versions, from Python 3.6 onwards. …”

Example ALAAMEE output. by Alex Stivala (8356257)

Example ALAAMEE goodness-of-fit output. by Alex Stivala (8356257)

Information from interactions. by Sylvia Iasulaitis (8301189)

“…The process of collecting and creating the database for this study went through three major stages, subdivided into several processes: (1) A preliminary analysis of the platform and its operation; (2) Contextual analysis, creation of the conceptual model, and definition of Keywords and (3) Implementation of the Data Collection Strategy. Python algorithms were developed to model each primary collection type. …”

Corpora from the articles in order of size. by Sylvia Iasulaitis (8301189)

“…The process of collecting and creating the database for this study went through three major stages, subdivided into several processes: (1) A preliminary analysis of the platform and its operation; (2) Contextual analysis, creation of the conceptual model, and definition of Keywords and (3) Implementation of the Data Collection Strategy. Python algorithms were developed to model each primary collection type. …”

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

“…</p><h2>Key Features</h2><ul><li><a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Code Obfuscation in Python</b></a>: Implements multi-level protection with dynamic encryption and obfuscation techniques, making it an effective <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Python obfuscator</b></a>.…”

Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python) by Robert Zomer (12796235)

“…<p dir="ltr">The custom code in Python programming language used to develop the <b>Global Aridity Index and Potential Evapotranspiration (ET0) Climate Database v3.…”

code implementing the finite element method and finite difference method from Hybrid PDE-ODE Models for Efficient Simulation of Infection Spread in Epidemiology by Kristina Maier (20520371)

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

(a) System dynamics: schematic representation of all the reactions in the Tree model, which are aging, reproduction, color cycle, and competition. by Fabricio Cravo (21387854)

Simulated dynamics of the Mutual Annihilation protocol [26]. by Fabricio Cravo (21387854)

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 <... by Ziyan Jin (21021976)

2D Orthogonal Planes Split: <b>Python</b> and <b>MATLAB</b> code | <b>Source Images</b> for Figures by Nektarios Valous (20715650)

“…The output files generated by the code include results from both Python and MATLAB implementations; these output images are provided as validation, demonstrating that both implementations produce matching results.…”

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.…”

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

“…Cs₃Bi₂_–<i>x</i>Sb_<i>x</i>Br₉@PVDF (<i>x</i> = 0.05) resulted in improved piezoelectric as well as triboelectric properties due to the formation of an enhanced electroactive β-phase of ∼91%, up from 48%. Benefiting from the doping strategies, the devices exhibited an open-circuit voltage of ∼161.2 V with a maximum power density of ∼58.37 μW/cm². …”

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

“…Cs₃Bi₂_–<i>x</i>Sb_<i>x</i>Br₉@PVDF (<i>x</i> = 0.05) resulted in improved piezoelectric as well as triboelectric properties due to the formation of an enhanced electroactive β-phase of ∼91%, up from 48%. Benefiting from the doping strategies, the devices exhibited an open-circuit voltage of ∼161.2 V with a maximum power density of ∼58.37 μW/cm². …”

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

“…Cs₃Bi₂_–<i>x</i>Sb_<i>x</i>Br₉@PVDF (<i>x</i> = 0.05) resulted in improved piezoelectric as well as triboelectric properties due to the formation of an enhanced electroactive β-phase of ∼91%, up from 48%. Benefiting from the doping strategies, the devices exhibited an open-circuit voltage of ∼161.2 V with a maximum power density of ∼58.37 μW/cm². …”

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

“…Cs₃Bi₂_–<i>x</i>Sb_<i>x</i>Br₉@PVDF (<i>x</i> = 0.05) resulted in improved piezoelectric as well as triboelectric properties due to the formation of an enhanced electroactive β-phase of ∼91%, up from 48%. Benefiting from the doping strategies, the devices exhibited an open-circuit voltage of ∼161.2 V with a maximum power density of ∼58.37 μW/cm². …”

Complex Eigenvalues, Orthogonality, and QR Factorization: Analytical Proofs and Numerical Verification by Umar Tabbsum (22058780)

“…</li><li>Gram–Schmidt Orthonormalization: Construction of orthonormal bases from linearly independent vectors. Reconstruction error and orthonormality error are computed and compared to SciPy’s QR decomposition to ensure numerical accuracy.…”