Active Power Error Comparison Between AFWATSMC and ASMC Algorithms under DPSMC algorithm. by Omar Talal Mahmood (22110438)

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Comparison of Sliding Surface Behavior for AFWATSMC and ASMC Algorithms. by Omar Talal Mahmood (22110438)

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Comparison of control signal response () for AFWATSMC and ASMC algorithms. by Omar Talal Mahmood (22110438)

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Power Factor Performance Comparison Between AFWATSMC and ASMC Algorithms. by Omar Talal Mahmood (22110438)

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Convolution kernel of size 5 with arbitrary shape. by Xinwei Wang (352488)

AC output current waveform comparison between AFWATSMC and ASMC algorithms. by Omar Talal Mahmood (22110438)

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Comparison of DC output voltage error signal for AFWATSMC and ASMC algorithms. by Omar Talal Mahmood (22110438)

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Convergence of the state under different parameter and initial condition variations using the FWAT algorithm. by Omar Talal Mahmood (22110438)

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Summary of key parameters used in the CSCAP algorithm. by Manxing Shi (22367181)

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Arbitrary Design of DNA-Programmable 3D Crystals through Symmetry Mapping by Jason S. Kahn (2744830)

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Output AC voltage waveform of phase A under both AFWATSMC and ASMC control algorithms. by Omar Talal Mahmood (22110438)

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Supplementary file 1_Optimizing quantum convolutional neural network architectures for arbitrary data dimension.pdf by Changwon Lee (20812727)

“…., the number of features) of the input data that can be processed, restricting the applicability of QCNN algorithms to real-world data. To address this issue, we propose a QCNN architecture capable of handling arbitrary input data dimensions while optimizing the allocation of quantum resources such as ancillary qubits and quantum gates. …”

DataSheet1_Improving the convergence of an iterative algorithm for solving arbitrary linear equation systems using classical or quantum binary optimization.pdf by Erick R. Castro (11243697)

Plot of the predicted power spectral density of fluorescence for an arbitrary fluorophore. by Nicholas H. Vitale (20469289)

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

“…In medicinal chemistry, they are the basis for analyzing ligand–biomacromolecule interactions. Ertl’s algorithm is an approach to extract functional groups in arbitrary organic molecules that does not depend on predefined libraries of functional groups. …”

Classification of PavCA Index scores with the k-Means algorithm where k = 3. by Camille Godin (21445879)

Gillespie algorithm simulation parameters. by Nicholas H. Vitale (20469289)

“…Both the ensemble and stochastic models presented in this work have been verified using Monte Carlo molecular dynamic simulations that utilize the Gillespie algorithm. The implications of the model on the design of biomolecular fluorescence detection systems are explored in three relevant numerical examples. …”

Thunderstorm clouds were identified and extracted by the CSCAP algorithm from 0000–0600 BJT (Beijing Time) on 29 May 2015. by Manxing Shi (22367181)

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Summary of greedy algorithms presented in this section. Details of approximation factors for FastGreedy and UnitGreedy may be found in [26] and [25], respectively. by Jeffrey Keithley (14626551)

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Trajectories of Δ(<i>σ</i>) for arbitrary fractal orders when and different fractional orders when . by Nausheen Razi (20529049)