Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

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

Flowchart of the general algorithm for one trial. by Junying Wang (509009)

Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification. by Matteo Straccamore (15083799)

“…Each node is a technology and the links quantify if technologies are connected, i.e., if they are similar and if the capabilities required to develop both are approximately the same. The coloured nodes are the technologies made by entity <i>e</i>₁ and <i>e</i>₂, respectively. …”

Data Sheet 2_Developing decision support algorithm for hypertension medications for use in a digital therapeutic system.pdf by Jeannie K. Lee (9026981)

Development of the CO₂ Adsorption Model on Porous Adsorbent Materials Using Machine Learning Algorithms by Hossein Mashhadimoslem (11456548)

Federated averaging algorithm. by Yan Qin (118276)

Comparative overview of multi-objective optimization algorithms. by Xiaodan Li (132227)

Comparison of different optimization algorithms. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

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

Comparison of algorithm performance aesults. by Chunjuan Li (7890182)

Subjects:

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. …”

Ranking of ML algorithms. by Yasemin Ayaz Atalan (21989402)

“…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …”

Confusion matrix of the proposed algorithm and state of the art (part 2). by Meshari Alazmi (452881)

Comparative results with existing representative algorithms. by Yan Qin (118276)

Overview of the Cell2Spatial algorithm. by Huamei Li (8815955)

Subjects:

Feature selection using the Boruta algorithm. by Guang Tu (22054865)

“…The Boruta algorithm identified 29 significant risk factors, and the top 13 variables were used for developing machine learning models. …”

Training process of HFKG-RFE algorithm. by Chunjuan Li (7890182)

Subjects:

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. …”

Comparison of Point Cloud rigid registration algorithms. by Morena Raiola (22439390)