Variant data used during semi-synthetic data generation. by Eric V. Strobl (16854789)

Subjects:

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

Data cleaning and preparation algorithm. by Ayana Ablayeva (22103708)

Data augmentations used on the data during model training. by Henrik Mustonen (20378529)

Flowchart of SIMPLE algorithm and PISO algorithm. by Feng Gao (3548)

“…Results show that under the comprehensive consideration of calculation accuracy, calculation time and memory occupancy, using sinusoidal expiratory boundary conditions combined with the PISO algorithm, with the RNG <i>k-ε</i> model during expiratory phase, and switching into the laminar flow during inspiratory phase, is the optimal strategy of simulating human breathing.…”

Schematic illustration of the study periods and algorithms applied during the COVID-RED study. by Laura C. Zwiers (21492805)

Subjects:

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

The data used in the figures. by Yonghui Zhang (279832)

Subjects:

Federated averaging algorithm. by Yan Qin (118276)

Boundary conditions used during the simulations. by Feng Gao (3548)

“…Results show that under the comprehensive consideration of calculation accuracy, calculation time and memory occupancy, using sinusoidal expiratory boundary conditions combined with the PISO algorithm, with the RNG <i>k-ε</i> model during expiratory phase, and switching into the laminar flow during inspiratory phase, is the optimal strategy of simulating human breathing.…”

Data augmentation parameters used during training. by Sai Balakavi (21728626)

Illustration of the training algorithm for the sPHMM. by Tianshu Li (1527088)

Flow chart of the EDR estimation algorithm. by Hongping Wei (196994)

“…This process generates feature fusion weights, which are mapped onto the three-dimensional wind matrix and used to convert the three-dimensional wind data into one-dimensional wind data, thereby achieving the fusion of three-dimensional wind features. …”

Periodic Table’s Properties Using Unsupervised Chemometric Methods: Undergraduate Analytical Chemistry Laboratory Exercise by Adrian Gabriel Pereira de Quental (20382423)

Subjects:

Periodic Table’s Properties Using Unsupervised Chemometric Methods: Undergraduate Analytical Chemistry Laboratory Exercise by Adrian Gabriel Pereira de Quental (20382423)

Subjects:

Fitting flow of DAKM algorithm. by Xiaobing Chen (572034)

“…This paper suggests a better algorithm based on feature points method. During the curve approximation process, the projection points of data points and their parameters are calculated, and the data point parameters are corrected to achieve dynamic adjustment of the knot vector. …”

Runtime (s) of 12 algorithms across six datasets. by Siyi Huang (8562174)

Dual deconvolution algorithm: analysis code with experimental data by Wonshik Choi (18877660)

“…<p dir="ltr">This software package provides key algorithms for dual-deconvolution microscopy analysis, along with both experimental and numerical data. …”

Flowchart of the proposed algorithm. by Huanyu Yang (6683780)

“…The sub-block selection algorithm sorts and filters sub-blocks based on the average pixel difference, reconstructing the input data to ensure accurate separation of melanin and hemoglobin. …”