Data from: Structural and Functional Analysis of Multi-interface Domains by 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. …”

Statistical results of various algorithms. by ZeSheng Lin (20501356)

“…Results from experiments confirm that the enhanced WOA algorithm outperforms the standard WOA algorithm in terms of both fitness value and convergence speed. …”

Network structure diagram of YOLOv8 algorithm. by Weiyu Han (3448742)

Images of partial benchmark functions. by ZeSheng Lin (20501356)

“…Results from experiments confirm that the enhanced WOA algorithm outperforms the standard WOA algorithm in terms of both fitness value and convergence speed. …”

Analytic Gradients for Density Fitting MP2 Using Natural Auxiliary Functions by Klára Petrov (19251734)

“…The natural auxiliary function (NAF) approach is an approximation to decrease the size of the auxiliary basis set required for quantum chemical calculations utilizing the density fitting technique. …”

Principal component analysis applied to both datasets. by Anny K. G. Rodrigues (11689849)

Subjects:

Membership function. by Tuan Anh Nguyen (121944)

Procedure of the DCT-based EIT algorithm. by Rongqing Chen (249906)

Subjects:

Local topological scales of hierarchical community organization in structural and functional brain graphs. by Arian Ashourvan (6685232)

Comparison of the performance of both models against 13 other models on the independent test dataset. by Aastha Vatsyayan (9981916)

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Multi-scale detection of hierarchical community architecture in structural and functional brain networks by Arian Ashourvan (6685232)

“…<div><p>Community detection algorithms have been widely used to study the organization of complex networks like the brain. …”

Varietal predicted parameters under both water conditions per groups of varieties. by Maud Delattre (19106551)

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

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

Vertices accessions of the functional space for each of the descriptor types used for bean and forage peanut accessions. by Diego Felipe Conejo-Rodríguez (18495740)

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Highest 18 BacSD rankings as a function of detection probability using simulated data with a clutter mean of 8. by Tom Northardt (17817484)

Flowchart of weighting using the AHP method. by Nada Ahmed Ezz-Eldien (17396553)

“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”

Flowchart of weighting using the entropy method. by Nada Ahmed Ezz-Eldien (17396553)

“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”

Machine learning algorithm parameters. by Namal Rathnayake (15361124)

“…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …”

Data_Sheet_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.PDF by Shakiru A. Alaka (9302864)

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

Comparison between different PSO algorithms on function 4–6. by Lai Xu (1828831)