Available functions in the phase-shifting package. by Raul Castañeda (13932971)

Available functions in the numerical propagation package. by Raul Castañeda (13932971)

Available functions in the phase reconstruction package. by Raul Castañeda (13932971)

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

“…Two approaches, both leveraging batched dense linear algebra, are found to outperform the others across a suite of molecular benchmarks. We show that batched formation of the XC matrix from the density matrix yields the best performance for large (>O(103) basis functions), sparse systems such as glycine chains and water clusters. …”

Skeletonisation algorithm. by Jordan Hembrow (16908051)

Reconstruction performance across algorithms, dynamics, cell types, and recording length. by Christian Donner (3663007)

“…<b>D</b> The mean average precision score (APS, upper panel) and Matthews correlation coefficient (MCC, lower panel), estimated across all connections, obtained from all inference algorithms and the eANN across three different dynamical regimes. …”

Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... by Ross J. Burton (10941910)

Conservation and functional variation across TcdB subtypes. by Michael J. Mansfield (9922934)

Biological Function Assignment across Taxonomic Levels in Mass-Spectrometry-Based Metaproteomics via a Modified Expectation Maximization Algorithm by Gelio Alves (51850)

“…To address this issue, most metaproteomics tools rely on the lowest common ancestor (LCA) algorithm to assign biological functions, which often leads to incomplete biological function assignments across the full taxonomic lineage of identified microorganisms. …”

Function graph and algorithm iterative graph. by WanRu Zhao (18980374)

“…Pattern synthesis in smart antennas is a major area of research because of its widespread application across various radar and communication systems. This paper presents an effective technique to minimize the SLL and thus improve the radiation pattern of the linear antenna array (LAA) using the chaotic inertia-weighted Wild Horse optimization (IERWHO) algorithm. …”

Mean and standard deviation of RBF classifier performance across different training algorithms with cross-validation. by Mohammad Hossein Hadizadeh Isfahani (22634016)

Mean and standard deviation of MLP classifier performance across different training algorithms with cross-validation. by Mohammad Hossein Hadizadeh Isfahani (22634016)

Python cv coding screenshots of all developed fingerprints on distinct surfaces. by Nisha Yadav (366131)

Example psychometric functions for observer DHB. by Daniel H. Baker (11559693)

Demographic, murmur, and clinical outcome distributions across the Challenge training, validation, and test data. by Matthew A. Reyna (16965038)

Workflow of the TITR algorithm. by Bradley Crone (19346873)

The flow of the genetic algorithm with the nested Frank-Wolfe algorithm. by Zhipeng Huang (1759759)

Subjects:

Fig 1 - Fusing multisensory signals across channels and time by Swathi Anil (17382903)

“…In classical multisensory algorithms the information from independent sensory channels (<i>Ch</i>₀, <i>Ch</i>₁) is combined via a linear sum (<b>C</b>) or nonlinear function (<b>D</b>) then summed over time. …”

Table 1 - Fusing multisensory signals across channels and time by Swathi Anil (17382903)

Fig 3 - Fusing multisensory signals across channels and time by Swathi Anil (17382903)