A Quadratic Pair Atomic Resolution of the Identity Based SOS-AO-MP2 Algorithm Using Slater Type Orbitals by Arno Förster (8356044)

Subjects:

The “Bubblepole” (BUPO) Method for Linear-Scaling Coulomb Matrix Construction with or without Density Fitting by Frank Neese (736441)

Subjects:

Analytic Gradients for Density Fitting MP2 Using Natural Auxiliary Functions by Klára Petrov (19251734)

“…The natural auxiliary function (NAF) approach is an approximation to decrease the size of the auxiliary basis set required for quantum chemical calculations utilizing the density fitting technique. …”

Effect of the transmission probability function on epidemic spread. by Soler Gabriela Bayolo (21011810)

Contrast enhancement of digital images using dragonfly algorithm by Soumyajit Saha (19726163)

“…The article deals with contrast enhancement as an optimization problem and uses the Dragonfly Algorithm (DA) to find the optimal grey-level intensity values. …”

Cost function calculated by QA with different hyperparameters. by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

Cost function calculated by SA with different hyperparameters. by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

“…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …”

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... by Hassan Mehboob (8960273)

The workflow used to analyze imbalanced and balanced sequences. by Solomon Shiferaw Beyene (9143178)

Table2_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…The computational prediction of protein subcellular localizations can be performed on the basis of the sequence and the functional characteristics. …”

Table3_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…The computational prediction of protein subcellular localizations can be performed on the basis of the sequence and the functional characteristics. …”

Table4_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…The computational prediction of protein subcellular localizations can be performed on the basis of the sequence and the functional characteristics. …”

Table1_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…The computational prediction of protein subcellular localizations can be performed on the basis of the sequence and the functional characteristics. …”

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

Subjects:

Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. by Kevin Sawade (16726527)

“…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…”

Algorithm used for important sampling of the likelihood function. by Zhiyong Huang (3620000)

S1 File - by Yuh-Chin T. Huang (17867207)

Subjects:

S1 Dataset - by Yuh-Chin T. Huang (17867207)

Subjects:

2lpiRNApred: a two-layered integrated algorithm for identifying piRNAs and their functions based on LFE-GM feature selection by Yun Zuo (8541492)

“…Five feature extraction strategies, namely, Kmer, General parallel correlation pseudo-dinucleotide composition, General series correlation pseudo-dinucleotide composition, Normalized Moreau–Broto autocorrelation, and Geary autocorrelation, and two types of classifier, Sparse Representation Classifier (SRC) and support vector machine with Mahalanobis distance-based radial basis function (SVMMDRBF), were used to construct a two-layered integrated classifier algorithm, 2lpiRNApred. …”