Illustration of recording paradigm with PyNoetic’s Stimuli generation and recording module. by Gursimran Singh (575288)

Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback. by Gursimran Singh (575288)

PyNoetic’s stimuli generation and recording module, which supports both ERP and SSVEP. by Gursimran Singh (575288)

PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA. by Gursimran Singh (575288)

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

Performance of various deep learning models from PyNoetic’s classification module on the Motor Imagery decoding task. by Gursimran Singh (575288)

PyNoetic’s channel selection module, which supports various channel selection criteria including CSP, correlation, Mutual Information, and Chi-squared. by Gursimran Singh (575288)

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

PyNoetic’s feature extraction module that supports time domain features, frequency domain features, time-frequency domain features, spatial features as well as Brain Connectivity m... by Gursimran Singh (575288)

Tunable parameters in stimuli generation module. ^<i>a</i>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... by Gursimran Singh (575288)

TMS-evoked cortical activity can be decomposed into 10 co-activation modules. by Jinming Xiao (12517096)

Phase Inversion Dynamics under Anti-Time Modulation by Gizem Bertan (21179480)

“…<p dir="ltr">This simulation models how varying phase angles influence quantum energy oscillations under anti-time modulation. The Python script visualizes the real component of time-evolving energy E(t)=E0eiφ(t)E(t) = E_0 e^{i\varphi(t)}E(t)=E0​eiφ(t), where φ(t)=θ⋅fanti(t)\varphi(t) = \theta \cdot f_{\text{anti}}(t)φ(t)=θ⋅fanti​(t). …”

Energy Transformation Simulation 1: Virtual-to-Dark Energy via Anti-Time Modulation by Gizem Bertan (21179480)

“…<p dir="ltr">This Python simulation models the quantum energy transformation from virtual particle states to stabilized dark energy under anti-time modulation, as proposed in the "Anti-Time" theoretical framework by Gizem Bertan. …”

Leue Modulation Coefficients (LMC): A Smooth Continuum Embedding of Bounded Arithmetic Data by Jeanette Leue (22470409)

“…The project provides a modular and reproducible framework for embedding bounded arithmetic data into analytic continuum models. …”

<b>Rethinking neighbourhood boundaries for urban planning: A data-driven framework for perception-based delineation</b> by Shubham Pawar (22471285)

“…</p><p dir="ltr"><b>Input:</b></p><ul><li><code>svi_module/svi_data/svi_info.csv</code> - Image metadata from Step 1</li><li><code>perception_module/trained_models/</code> - Pre-trained models</li></ul><p dir="ltr"><b>Command:</b></p><pre><pre>python -m perception_module.pred \<br> --model-weights .…”

Time-cumulative measure of TMS-evoked activity propagation. by Jinming Xiao (12517096)

Stage-dependent PSI analysis revealed the dynamic TMS-evoked activity propagation. by Jinming Xiao (12517096)

Methodological overview. by Jinming Xiao (12517096)

“…(B) By applying the Sparse nonnegative matrix factorization (sNMF) method, the TMS-evoked activity was decomposed into co-activation modules, representing spatially specific network components, and time-varying weights, representing temporal expressions of modules. …”

Overview of deep learning terminology. by Aaron E. Maxwell (8840882)

“…UNet-based models are provided with a variety of optional ancillary modules or modifications. Common assessment metrics (i.e., overall accuracy, class-level recalls or producer’s accuracies, class-level precisions or user’s accuracies, and class-level F1-scores) are implemented along with a modified version of the unified focal loss framework, which allows for defining a variety of loss metrics using one consistent implementation and set of hyperparameters. …”

face recognation with Flask by Muammar, SST, M.Kom (21435692)

“…Built using the <b>Flask</b> web framework (Python), this system provides a lightweight and scalable solution for implementing facial recognition capabilities in real-time or on-demand through a browser interface.…”