Benchmarking DEWÄKSS on a predefined benchmark test [29]. by Andreas Tjärnberg (3438332)

Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

“…Right plot show the gradual decrease in the TM tuning for the features highlighted in <b>c</b> as well as the gradual increase in the temporal response profile (i.e. optimal shifts for the prediction of the key BO-NN features using Praat features shown in <b>a</b>). …”

Table_1_Use of Non-invasive Parameters and Machine-Learning Algorithms for Predicting Future Risk of Type 2 Diabetes: A Retrospective Cohort Study of Health Data From Kuwait.DOCX by Bassam Farran (553880)

“…</p><p>Design: This retrospective cohort study used three models based on LR, k-nearest neighbours (k-NN), and support vector machines (SVM) with five-fold cross-validation. …”

Self-organising map-based dynamic decision-making algorithm for heterogeneous wireless sensor network by Umesh M. Kulkarni (10098026)

A neural network approach to modeling magnetohydrodynamic stagnation point Ree-Eyring flow over a convectively heated stretched surface by Mumtaz Khan (4370488)

Table_1_The Effects of Acute Aerobic Exercise on Blood Pressure, Arterial Function, and Heart Rate Variability in Men Living With HIV.DOCX by Juliana Pereira Barros (11136588)

“…</p>Methods<p>Twelve MLHIV (48.7 ± 9.2 years; 25.2 ± 2.8 kg m^–2) and 13 healthy controls (41.2 ± 9.9 years; 26.3 ± 2.9 kg m^–2) performed a cycling bout (ES) (intensity: 50% oxygen uptake reserve; duration: time to achieve 150 kcal—MLHIV: 24.1 ± 5.5 vs. controls: 23.1 ± 3.0 min; p = 0.45), and a 20-min non-exercise session (NES).…”

MAIZE AGRONOMIC PERFORMANCE AS AFFECTED BY SEED TREATMENT WITH AZOSPIRILLUM SP. AND MINERAL NITROGEN RATES by Luís Sangoi (6543164)

“…The efficiency of N use decreased when Nn rates increased at both yield management levels and whether the seeds were inoculated or not. …”