datasheet1_Graph Neural Networks for Maximum Constraint Satisfaction.pdf by Jan Tönshoff (10192709)

Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP by Xiaoyuan Wang (492534)

“…In this paper, a non-invasive and low-cost method of fatigue driving state identification based on genetic algorithm optimization of generalized regression neural network model is proposed. …”

Fig 1 - by Jakub Stoklosa (3315042)

Table_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx by Massaine Bandeira e Sousa (7866242)

“…The accuracy of the optimal scenario for classifying samples with a cooking time of 30 minutes reached RCal2  = 0.86 and RVal2 = 0.84, with a Kappa value of 0.53. …”

DataSheet_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx by Massaine Bandeira e Sousa (7866242)

“…The accuracy of the optimal scenario for classifying samples with a cooking time of 30 minutes reached RCal2  = 0.86 and RVal2 = 0.84, with a Kappa value of 0.53. …”

Spontaneous ERG-based random forest model discriminates control and disease cases in rodent models of obesity and type 1 diabetes and predicts disease evolution in the type 1 diabe... by Ramsés Noguez Imm (6658637)

Segmentation, trace denoising and spike extraction framework. by Changjia Cai (10647521)

Latent state estimations for experimental data with interruptions for subject 18. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 13. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 7. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 15. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 21. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 5. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 9. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 19. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 3. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 2. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 16. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 17. by Samiul Alam (18563323)