ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…These methods are tested on both real and synthetic data, with the former taken from a network of air quality monitoring stations across California. …”

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

Data generation algorithm. by Aluwani Ramalata (21262977)

Notations and definitions used in the algorithm. by Nazym Alimbekova (22766158)

Algorithm for optimizing the model using transformer. by Weiling Liu (1465480)

Architecture of AGAN algorithm model. by Xing Chen (140292)

“…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …”

The algorithm of the applied models. by Elif Tuçe Bal (21367965)

Subjects:

ML algorithms used in this study. by Toheeb Salahudeen (21368040)

“…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …”

Algorithm of model development and validation. by Bethan Cracknell Daniels (20469396)

Algorithms, data type, and accuracy. by Humaira Anzum (21416682)

“…Many researches have been undertaken to use computer vision on MRI images, and their accuracy ranges from 80–90%, new computer vision algorithms and cutting-edge transformers have the potential to improve this performance.We utilize advanced transformers and computer vision algorithms to enhance diagnostic accuracy, achieving an impressive 99% accuracy in categorizing Alzheimer’s disease stages through translating RNA text data and brain MRI images in near-real-time. …”

Parameters of the machine learning algorithms used in the study. by Xiaoyan Yang (259084)

Subjects:

Description of the dataset used for the machine learning algorithm. by Tri Ngo Quang (20390189)

Genetic algorithm iteration data chart. by Wenguang Li (6528113)

Subjects:

Algorithm steps for house price prediction model. by Xuan Wang (55634)

Subjects:

Observations that influence the accuracy of the algorithm. by Rabnawaz Khan (6509084)

The algorithm of the AWGE-ESPCA model. by Rui Miao (1592461)

The framework of the three algorithms for estimating crop model parameters in this work. by Yonghui Zhang (279832)

Subjects: