Pipeline of the interactor algorithm. حسب Jose Cleydson F. Silva (8685594)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب Morgan Najera (21540776)

"…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…"

An expectation-maximization algorithm for finding noninvadable stationary states. حسب Robert Marsland (8616483)

"…<i>(b)</i> Metabolic byproducts move the relevant unperturbed state from <b>R</b>⁰ (gray ‘x’) to (black ‘x’), which is itself a function of the current environmental conditions. …"

<b>Algorithm Pseudocode</b> حسب Yibin Zhao (22425801)

ROI setting diagram for AI calculation and optimization verification results. حسب Tsutomu Gomi (7382183)

الموضوعات:

A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score. حسب Jose Cleydson F. Silva (8685594)

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz حسب Faizan Ali (21689861)

الموضوعات:

Listed python codes of our algorithm with explanations (Python 3.9 recommended). حسب Takayuki Niizato (162226)

Comparisons among the denoising convolutional neural network metal artifact reduction hybrid reconstruction (DnCNN-MARHR) algorithm and the traditional reconstruction algorithms wi... حسب Tsutomu Gomi (7382183)

الموضوعات:

General flow of processing collected data. حسب Reinhard Chun Wang Chau (12733662)

الموضوعات:

System specification of high-performance computer. حسب Reinhard Chun Wang Chau (12733662)

الموضوعات:

Fig 6 - حسب Reinhard Chun Wang Chau (12733662)

الموضوعات:

SPIRIT diagram showing the schedule of enrollment, allocation, interventions, and assessments of this study. حسب Reinhard Chun Wang Chau (12733662)

الموضوعات:

Fig 5 - حسب Reinhard Chun Wang Chau (12733662)

الموضوعات:

Brief architecture of the Generative Adversarial Network (GAN) of this study. حسب Reinhard Chun Wang Chau (12733662)

الموضوعات:

Fig 7 - حسب Reinhard Chun Wang Chau (12733662)

الموضوعات:

Fig 4 - حسب Xutao Liu (13006965)

الموضوعات:

Fig 9 - حسب Xutao Liu (13006965)

الموضوعات:

Fig 10 - حسب Xutao Liu (13006965)

الموضوعات:

datasheet1_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.pdf حسب Santiago Hernández-Orozco (5070209)

"…In doing so we use examples which enable the two approaches to be compared (small, given the computational power required for estimations of algorithmic complexity). We find and report that 1) machine learning can successfully be performed on a non-smooth surface using algorithmic complexity; 2) that solutions can be found using an algorithmic-probability classifier, establishing a bridge between a fundamentally discrete theory of computability and a fundamentally continuous mathematical theory of optimization methods; 3) a formulation of an algorithmically directed search technique in non-smooth manifolds can be defined and conducted; 4) exploitation techniques and numerical methods for algorithmic search to navigate these discrete non-differentiable spaces can be performed; in application of the (a) identification of generative rules from data observations; (b) solutions to image classification problems more resilient against pixel attacks compared to neural networks; (c) identification of equation parameters from a small data-set in the presence of noise in continuous ODE system problem, (d) classification of Boolean NK networks by (1) network topology, (2) underlying Boolean function, and (3) number of incoming edges.…"