Type-1 membership function for speed. by Seung-Min Ryu (21463891)

Subjects:

GraSPy: an Open Source Python Package for Statistical Connectomics by Benjamin Pedigo (6580352)

“…We developed GraSPy, an open-source Python toolkit for statistical inference on graphs. …”

Machine learning analysis of 10 hub genes related to SCI was performed using eight algorithms applied to the dataset. by Tianbao Feng (21722233)

Slicing aided hyper inference algorithm. by Chunhua Yang (346871)

“…Intersection over Union (IoU) is used to optimize the loss function calculation. The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. …”

Globus Compute: Fire-and-Forget Federated Function-as-a-Service by Kyle Chard (5131859)

Burden of variants for different CVS thresholds across epilepsy phenotypes. by Alexandre Girard (203555)

Accuracy across different ROIs for the classification shown by various models. by Anant Shinde (3954662)

Single-cell RNA sequencing analysis reveals the expression patterns of the prognostic signature across cellular subpopulations. by Xiangxin Wu (22320058)

Pseudo-code of MWOA algorithm. by Yi-Qiang Xia (20161326)

“…<div><p>This paper proposes the Modulated Whale Optimization Algorithm(MWOA), an innovative metaheuristic algorithm derived from the classic WOA and tailored for bionics-inspired optimization. …”

Modular architecture design of PyNoetic showing all its constituent functions. by Gursimran Singh (575288)

Subjects:

IEEE CEC 2017 benchmark function specifications. by Kankan Tang (21474968)

IEEE CEC 2022 benchmark function specifications. by Kankan Tang (21474968)

Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

Adjusted R2 accuracy of EUR-to-AFR trans-ancestral PRS model for HDL cholesterol, coronary artery disease, and type 2 diabetes of the TITR optimization algorithm for TURF functiona... by Bradley Crone (19346873)

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

Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN). by Solomon Shiferaw Beyene (9143178)

Accuracy, sensitivity, specificity and F-score. by Solomon Shiferaw Beyene (9143178)

The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. by Solomon Shiferaw Beyene (9143178)

Table_5_Benchmarking freely available HLA typing algorithms across varying genes, coverages and typing resolutions.csv by Nikolas Hallberg Thuesen (14072517)

Table_4_Benchmarking freely available HLA typing algorithms across varying genes, coverages and typing resolutions.csv by Nikolas Hallberg Thuesen (14072517)