Ranking distribution and average ranking on CEC2022 benchmark functions. by Yuqi Xiong (12343771)

Subjects:

Image_1_Formulas to Explain Popular Oscillometric Blood Pressure Estimation Algorithms.JPEG by Anand Chandrasekhar (44553)

“…The oscillogram (which is approximately the blood volume oscillation amplitude-external pressure function) is measured, and BP is then estimated via an empirical algorithm. …”

Comparison of UACI among different algorithms. by Feixian Liu (22477943)

“…Based on the 2D-SQSM, this paper further designs a highly robust color image encryption algorithm. First, by introducing different hash functions multiple times, the correlation between the key and plaintext is enhanced, significantly improving resistance against brute-force attacks; second, cyclic shifting and segmentation-recombination operations are applied separately to the three RGB channels to effectively disrupt pixel distribution and significantly reduce spatial correlation between pixels; finally, the chaotic sequence generated by the 2D-SQSM is utilized for XOR diffusion, further enhancing the randomness and diffusion capability of the ciphertext. …”

Comparison of NPCR among different algorithms. by Feixian Liu (22477943)

“…Based on the 2D-SQSM, this paper further designs a highly robust color image encryption algorithm. First, by introducing different hash functions multiple times, the correlation between the key and plaintext is enhanced, significantly improving resistance against brute-force attacks; second, cyclic shifting and segmentation-recombination operations are applied separately to the three RGB channels to effectively disrupt pixel distribution and significantly reduce spatial correlation between pixels; finally, the chaotic sequence generated by the 2D-SQSM is utilized for XOR diffusion, further enhancing the randomness and diffusion capability of the ciphertext. …”

DataSheet1_Aortic systolic and pulse pressure invasively and non-invasively obtained: Comparative analysis of recording techniques, arterial sites of measurement, waveform analysis... by Daniel Bia (8157270)

“…</p><p>Aim: To evaluate the agreement between aoSBP and aoPP values invasively and non-invasively obtained using different: 1) recording techniques (tonometry, oscilometry/plethysmography, ultrasound), 2) recording sites [radial, brachial (BA) and carotid artery (CCA)], 3) waveform analysis algorithms (e.g., direct analysis of the CCA pulse waveform vs. peripheral waveform analysis using general transfer functions, N-point moving average filters, etc.), 4) calibration schemes (systolic-diastolic calibration vs. methods using BA diastolic and mean blood pressure (bMBP); the latter calculated using different equations vs. measured directly by oscillometry, and 5) different equations to estimate bMBP (i.e., using a form factor of 33% (“033”), 41.2% (“0412”) or 33% corrected for heart rate (“033HR”).…”

Reagents, software, and algorithms used in the study with their sources for result reproduction. by Aanchal Yadav (14206853)

Workflow from data acquisition to automated diagnostics. by Bernhard Vennemann (7434353)

Subjects:

Valve during diastole with inserts creating an artificial leak. by Bernhard Vennemann (7434353)

Subjects:

Test section including model of the aortic root with BHV and a flow sensor at the ascending aorta. by Bernhard Vennemann (7434353)

Subjects:

Sinusoidal fit to the measurement data. by Bernhard Vennemann (7434353)

Subjects:

The phases of automated BHV monitoring. by Bernhard Vennemann (7434353)

Subjects:

Baseline one-class SVM model. by Bernhard Vennemann (7434353)

Subjects:

Bar plots of MCI for different AR scenarios. by Bernhard Vennemann (7434353)

Subjects:

Steps of data preprocessing. by Bernhard Vennemann (7434353)

Subjects:

Principle of novelty detection in cardiac flow patterns. by Bernhard Vennemann (7434353)

Subjects:

Mild AR scenario measurement overlaid onto the baseline model. by Bernhard Vennemann (7434353)

Subjects:

The phase-field function for three different network configurations considered in this work. by Martina Bukač (20161460)

Optimization Performance Comparison of Metaheuristic Algorithms. by Xie Qiu (13243770)

Schematics for gmxapi operations. by M. Eric Irrgang (4487278)

gmxapi usage examples. by M. Eric Irrgang (4487278)