Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. حسب Dinh K. Tang (20469082)

"…<p>The average neuronal activity for each cluster of the Contact <b>(a)</b>, Rough <b>(b)</b> and Smooth stimulus <b>(c)</b> were determined using the Dirichlet Process Mixture Model (DPM) clustering algorithm. …"

The optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Algorithm used for the determination of the model parametric values. حسب Jonathan Côté (527819)

"…<p>Algorithm used for the determination of the model parametric values.…"

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [33]. (b) An alternating active-phase... حسب Zhao Li (300229)

Data and code resources. حسب Sam Hall-McMaster (10343795)

The method for determining the chemical constituents of unknown materials in the algorithm. حسب Dong Hyeok Choi (12562048)

الموضوعات:

Source Code and Dataset حسب Swathi Ganesan (14394924)

Determining the importance of factors in quantitative modeling by the RF algorithm. حسب Mahboobe Hojati (21702672)

Determining the importance of factors in qualitative modeling by the RF algorithm. حسب Mahboobe Hojati (21702672)

Feature selection using Boruta algorithm. حسب Shayla Naznin (13014015)

"…Feature selection was performed using the Boruta algorithm and model performance was evaluated by comparing accuracy, precision, recall, F1 score, MCC, Cohen’s Kappa and AUROC.…"

Pseudo code. حسب Xuwei Liu (6034592)

"…The experiment was validated using project datasets covering different regions, scales, and types of prefabricated components. …"

Spatial spectrum of the 100th frame under array distortion conditions (20 elements). حسب Gaoxiang Xing (21755689)

The algorithms and score criterion used in DBN hybrid structure learning. حسب Aslı Yaman (22567074)

Data and code availability: Machine Learning on systematically curated data reveals key determinants of magnetic hyperthermia performance حسب Edgar Vega (21981590)

"…Twelve machine learning models were evaluated and refined using Bayesian hyperparameter optimization. The CatBoost algorithm emerged as the most effective model, achieving the lowest mean absolute error (20.92 W/g) and root mean squared error (39.41 W/g), along with a high coefficient of determination (R² = 0.98). …"

The parameter setting of the evolutionary neural network. حسب Wenbing Shi (5806160)

الموضوعات:

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

Results of using the algorithm to find the chemical constituents for compounds using dual energy and mass attenuation coefficient. حسب Dong Hyeok Choi (12562048)

الموضوعات:

Results of using the algorithm to find the chemical constituents for mixtures using dual energy and mass attenuation coefficient. حسب Dong Hyeok Choi (12562048)

الموضوعات: