Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. حسب Francisco Páscoa dos Santos (16510676)

"…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …"

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional حسب Ryan Stocks (16867476)

"…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. …"

Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy حسب Yujin Wu (2901128)

الموضوعات:

Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy حسب Yujin Wu (2901128)

الموضوعات:

Data from: Structural and Functional Analysis of Multi-interface Domains حسب ZHAO Liang (8657694)

"…This work applies graph theory and algorithms to discover fingerprints for the multiple interfaces of a domain and to establish associations between the interfaces and functions, based on a huge set of multi-interface proteins from PDB. …"

Flowchart for Algorithm 1. حسب Sagvan Y. Musa (17797611)

Flowchart for Algorithm 2. حسب Sagvan Y. Musa (17797611)

Algorithm of the brightness scale calibration experiment. حسب Krzysztof Petelczyc (3954203)

"…<p>In the algorithm, the following variables were used: “I” denotes the current luminous intensity of the reference diode, “inc” denotes the current difference between reference and target diode luminous intensity; “cnt” is the current number of performed trials, while “correct” is a counter of correct answers in cnt trials, both of them are counted separately for every settings of I and inc. …"

The benchmark functions. حسب Shuhui Yu (1535500)

Algorithm detection steps. حسب José M. Rivera-Arbeláez (12418512)

AUC scores of anomaly detection algorithms. حسب GaoXiang Zhao (21499525)

"…This strategy is integrated into a random forest algorithm by replacing the conventional voting method. …"

Recall scores of anomaly detection algorithms. حسب GaoXiang Zhao (21499525)

"…This strategy is integrated into a random forest algorithm by replacing the conventional voting method. …"

Feature selection algorithm. حسب Mahmoud Zeydabadinezhad (12289570)

"…Our analysis pipeline included pre-processing steps, feature extraction from both time and frequency domains, a voting algorithm for selecting features, and model training and validation. …"

CEC2017 basic functions. حسب Tengfei Ma (597633)

"…<div><p>To address the limitations of the Zebra Optimization Algorithm (ZOA), including insufficient late-stage optimization search capability, susceptibility to local optima, slow convergence, and inadequate exploration, this paper proposes an enhanced Zebra Optimization Algorithm integrating opposition-based learning and a dynamic elite-pooling strategy (OP-ZOA: Opposition-Based Learning Dynamic Elite-Pooling Zebra Optimization Algorithm). he proposed search algorithm employs a good point set-elite opposition-based learning mechanism to initialize the population, enhancing diversity and facilitating escape from local optima. …"

Summary of the contrasts obtained from the normalized images for both inclusions as a function of the host type and the wavelength. حسب María Victoria Waks-Serra (21578611)

F1-scores of anomaly detection algorithms. حسب GaoXiang Zhao (21499525)

"…This strategy is integrated into a random forest algorithm by replacing the conventional voting method. …"

Table_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.DOCX حسب Shakiru A. Alaka (9302864)

"…<p>Background and Purpose: Stroke-related functional risk scores are used to predict patients' functional outcomes following a stroke event. …"

Equilibrium membrane displacement as a function of active force. حسب Kai Liu (159026)

Summary of results of naïve Bayes algorithms. حسب Christopher E. Niemczak (8586861)

"…Algorithms trained without auditory variables as features were statistically worse (p < .001) in both the primary measure of area under the curve (0.82/0.78) and the secondary measure of accuracy (72.3%/74.5%) for the Gaussian and kernel algorithms respectively.…"

CEC2017 test function test results. حسب Tengfei Ma (597633)

"…<div><p>To address the limitations of the Zebra Optimization Algorithm (ZOA), including insufficient late-stage optimization search capability, susceptibility to local optima, slow convergence, and inadequate exploration, this paper proposes an enhanced Zebra Optimization Algorithm integrating opposition-based learning and a dynamic elite-pooling strategy (OP-ZOA: Opposition-Based Learning Dynamic Elite-Pooling Zebra Optimization Algorithm). he proposed search algorithm employs a good point set-elite opposition-based learning mechanism to initialize the population, enhancing diversity and facilitating escape from local optima. …"