Surface Tension Prediction of Fuel Additives Based on Machine Learning Model with Subtraction-Average-Based Optimizer Algorithm حسب Jianan Wang (359744)

"…The empirical models were found to have limited accuracy in predicting the surface tension. Then, a BP neural network model with the subtraction-average-based optimizer (SABO) algorithm was proposed. …"

Training results. حسب Jack B. Maguire (5123183)

Table 1_Development of an upper limb muscle strength rehabilitation assessment system using particle swarm optimisation.xlsx حسب Chuangan Zhou (21684530)

"…Simultaneously, triaxial kinematic data of the glenohumeral joint were obtained via an MPU6050 inertial measurement unit, processed through quaternion-based orientation estimation. Machine learning models, including Backpropagation Neural Network (BPNN), Support Vector Machines (SVM), and particle swarm optimization algorithms (PSO-BPNN, PSO-SVR), were applied for regression analysis. …"

Table_1_Air-Sea Fluxes With a Focus on Heat and Momentum.DOCX حسب Meghan F. Cronin (7105496)

"…To meet these targets globally, in the next decade, satellite-based observations must be optimized for boundary layer measurements of air temperature, humidity, sea surface temperature, and ocean wind stress. …"

Distribution of students by dmft/DMFT index. حسب Susana Lavado (20614221)

"…This study is one of the few in oral health care that includes bias auditing of classification models. The audit surfaced potential biases related to demographic factors such as age and social assistance status. …"

Thesis-RAMIS-Figs_Slides حسب Felipe Santibañez-Leal (10967991)

"…<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…"