Loss function curve. حسب Xiangqian Xu (17310895)

الموضوعات:

Wavelet transform and scaling function. حسب Menaa Nawaz (14304920)

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

Target detection results in different scenes (the detection results of proposed algorithm are on the left and YOLOv7 is on the middle YOLOv8-n is on the right). حسب Xiangqian Xu (17310895)

الموضوعات:

Model construction and validation (A) Construction of the model based on multiple machine learning algorithms. حسب Chengting Wu (21485612)

PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. حسب Yuxi Long (11024307)

الموضوعات:

Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration. حسب Raul Castañeda (13932971)

We recorded the distribution function of the one-step prediction time for CLPREM and its comparative models, as well as a curve graph showing the multiple of the comparative model’... حسب Xiaorui Wu (8322705)

The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. حسب Solomon Shiferaw Beyene (9143178)

Python-based Monte Carlo Simulation Tool حسب Yangfan Jiang (9372782)

Histogram showing the distribution of different model parameters over selected individuals in the Genetic Algorithm. حسب Claudio D. T. Barros (10885464)

"…<p>We selected the 37 best individuals from the full Genetic Algorithm execution, following the criterion of the cost function being less than or equal to 0.069. …"

Immune microenvironment (A) Comparison of immune cell infiltration between the high-risk and low-risk groups using the ssGSEA algorithm. حسب Chengting Wu (21485612)

(a): These systems were simulated for (0,3] and (0,3] without the prior knowledge about different phases, and the probability density function of points in feature space illustrate... حسب Ali Talebi (7164203)

"…(b): The dense areas are separated by removing the data less than threshold = 0.5 in the probability density function. …"

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"

<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.…"

Constructing the dynamical law. حسب Robert Marsland (8616483)

Flowchart showing the basic functioning of our implementation of the algorithm described in this paper. حسب Pablo Rodríguez-Sánchez (6711683)

"…<p>Flowchart showing the basic functioning of our implementation of the algorithm described in this paper.…"

Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic حسب NELSON L. DIAS (8078003)

"…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …"

Genetic algorithm meta-parameters. حسب Larasmoyo Nugroho (18078260)

"…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …"

The entity relationship of DDPG algorithm. حسب Larasmoyo Nugroho (18078260)

"…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …"