IRS-assisted system model. by Sarmad Sohaib (21273402)

“…Here, the transmitter makes a minor random alteration in the phase of each IRS element at each iteration; simultaneously, the receiver transmits an SBF, indicating whether the SNR improved or deteriorated after the current iteration. …”

Generalized architecture of an IRS system. by Sarmad Sohaib (21273402)

“…Here, the transmitter makes a minor random alteration in the phase of each IRS element at each iteration; simultaneously, the receiver transmits an SBF, indicating whether the SNR improved or deteriorated after the current iteration. …”

Two simulated instances with <i>M</i> = 16. by Sarmad Sohaib (21273402)

“…Here, the transmitter makes a minor random alteration in the phase of each IRS element at each iteration; simultaneously, the receiver transmits an SBF, indicating whether the SNR improved or deteriorated after the current iteration. …”

Multi-material topology optimization using scaled boundary finite element method by Mohammed Saif Zamiruddin Siddiqui (22384884)

“…<p>This work introduces the use of Scaled Boundary Finite Element Method (SBFEM) in Multi-Material Topology Optimization (MMTO) problems, which is new in the literature. …”

Computational Domain: The computational domain was discretized using conformal tetrahedral elements, resulting in a total of 926K elements. by Martina Bukač (20161460)

ROC curve for each ML algorithm. by Caroline L. Alves (14271413)

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…We find evidence that the generalised GLS-KGR algorithm is well-suited to such time-series applications, outperforming several standard techniques on this dataset.…”

Block diagram of the SSNMF algorithm for source separation. by Balamurali Krishna Ponukumati (19864775)

Risk element category diagram. by Yao Hu (3479972)

Numbers of iterations (#Ite) and eigenvalue calculations (#Eig) in the DC algorithm on the random and chain graph datasets. by Tomokaze Shiratori (9635271)

Subjects:

Performance of machine learning algorithms. by Wenxue Liu (6877754)

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4 by Berith Atemoztli De la Cruz Sánchez (21758708)

“…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. To address this, we propose a hybrid approach that combines elastic and hyperelastic finite element simulations, complemented by convolutional neural networks (CNNs), to generate synthetic tactile maps of a soft capacitive tactile sensor. …”

Computation time as a function of the sample size on the chain graph dataset. by Tomokaze Shiratori (9635271)

Subjects:

Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges). by Tomokaze Shiratori (9635271)

Subjects:

Computation time as a function of the sample size on the random graph dataset. by Tomokaze Shiratori (9635271)

Subjects:

F1 score of edges selected through cross-validation on the chain graph dataset. by Tomokaze Shiratori (9635271)

Subjects:

Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges). by Tomokaze Shiratori (9635271)

Subjects:

Examples of ground-truth graph structures with (<i>p</i>, <i>n</i>_≠0) = (10, 10). by Tomokaze Shiratori (9635271)

Subjects:

Number of edges selected through cross-validation on the chain graph dataset. by Tomokaze Shiratori (9635271)

Subjects: