Diagram of the algorithm used during the training phase. by Ana P. Arantes (17131753)

Flowchart of the phase optimization algorithm. by Maxim Terekhov (3429614)

“…<p>At stage II, phase vectors {Φ^top} providing cost function values F_c above 90% of maximum are selected as initial condition {Φ₀} for iterative NLS-search and selection of the optimum vectors {Φ^opt}. …”

Multi-functional liquid crystal devices based on random binary matrix algorithm by Tibin Zeng (10890697)

“…Here, we propose a new phase mixing algorithm based on the random binary matrix and describe the theoretical foundation and experimental realisation of the proposed scheme. …”

Limitation of the conventional DBT reconstruction algorithm. by Yunsu Choi (11993484)

Approximate energy consumed per particles in <i>nano Joules</i> (<i>nJ</i>) for various computation platforms and algorithms (A: first algorithm, B: second algorithm, C: third algo... by Abedalmuhdi Almomany (18547669)

Loss function values of target detection algorithms during training. by Guodong Su (7876934)

Flowchart of P&O-based MPPT algorithm. by Luqman Khan (17921419)

The execution times (nano seconds) per particle are measured for four different algorithms [47], (A: first algorithm, B: second algorithm, C: third algorithm: and D: fourth algorit... by Abedalmuhdi Almomany (18547669)

State Preparation in Quantum Algorithms for Fragment-Based Quantum Chemistry by Ruhee D’Cunha (8921372)

“…The localized active space–unitary coupled cluster (LAS–UCC) algorithm iteratively loads a fragment-based multireference wave function onto a quantum computer. …”

The probability density function of points in feature space of variance versus mean of the local field for (0,3] and (0,3] displayed as a contour-plot. by Ali Talebi (7164203)

Pseudocode of the BBAC_I Algorithm. by Zezhi Lin (22521663)

Execution Steps of the EOF Algorithm. by Zezhi Lin (22521663)

(a): These systems were simulated for (0,3] and (0,3] without the prior knowledge about different phases, and the probability density function of points in feature space illustrate... by Ali Talebi (7164203)

“…(b): The dense areas are separated by removing the data less than threshold = 0.5 in the probability density function. (c): The centroid of each cluster is determined by the K-means algorithm.…”

WSN optimized by different algorithms. by Qingwen Meng (156386)

Subjects:

Compare algorithm parameter settings. by Qingwen Meng (156386)

Subjects:

Molecular Graph-Based Deep Learning Algorithm Facilitates an Imaging-Based Strategy for Rapid Discovery of Small Molecules Modulating Biomolecular Condensates by Peng Gao (35465)

“…We demonstrated that the GCN-based deep learning algorithm is suitable for spatial information extraction from the molecular graph. …”

Molecular Graph-Based Deep Learning Algorithm Facilitates an Imaging-Based Strategy for Rapid Discovery of Small Molecules Modulating Biomolecular Condensates by Peng Gao (35465)

“…We demonstrated that the GCN-based deep learning algorithm is suitable for spatial information extraction from the molecular graph. …”

Showing the Quantum Mechanics-based Density Functional Theory optimisation of 3-1-BCMIYPPA where different energy levels are shown in different colours. by Mohammed Ali Alshehri (11707406)

Benchmark functions. by Mingjun Li (178925)

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