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... حسب Ross J. Burton (10941910)

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

Reward function related parameters. حسب Honglei Pang (22693724)

الموضوعات:

Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection حسب Samin Aref (4683934)

"…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. …"

Details the DLKA structure, which includes the DLKA-Attention module and the FFN module. The DLKA-Attention module mainly consists of the DLKA module, which comprises deformable de... حسب Xunqian Xu (21261899)

Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration. حسب Raul Castañeda (13932971)

3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. حسب Giacomo Janson (8138517)

Search-based testing (Genetic Algorithm) - Chapter 11 of the book "Software Testing Automation" حسب Saeed Parsa (13893726)

"…</p> <p><br></p> <p>3. Algorithm</p> <p>Below is the main body of the test data generator program:</p> <p>  </p> <p>the main body of a Python program to generate test data for Python functions.…"

RMSE results. حسب YueSheng Jiang (19267984)

"…To overcome these limitations, this paper developed a simple and fast adaptive remote sensing image Spatio-Temporal fusion method based on Fit-FC, called Adapt Lasso-Fit-FC (AL-FF). Firstly, the sparse characteristics of time phase change between images are explored, and a time phase change estimation model based on sparse regression is constructed, which overcomes the fuzzy problem of fusion image caused by the failure of linear regression to capture complex nonlinear time phase transition in the weighted Function method, making the algorithm better at capturing details. …"

Results of the Kherson Area Visual Assessment. حسب YueSheng Jiang (19267984)

"…To overcome these limitations, this paper developed a simple and fast adaptive remote sensing image Spatio-Temporal fusion method based on Fit-FC, called Adapt Lasso-Fit-FC (AL-FF). Firstly, the sparse characteristics of time phase change between images are explored, and a time phase change estimation model based on sparse regression is constructed, which overcomes the fuzzy problem of fusion image caused by the failure of linear regression to capture complex nonlinear time phase transition in the weighted Function method, making the algorithm better at capturing details. …"

Work flow chart. حسب YueSheng Jiang (19267984)

"…To overcome these limitations, this paper developed a simple and fast adaptive remote sensing image Spatio-Temporal fusion method based on Fit-FC, called Adapt Lasso-Fit-FC (AL-FF). Firstly, the sparse characteristics of time phase change between images are explored, and a time phase change estimation model based on sparse regression is constructed, which overcomes the fuzzy problem of fusion image caused by the failure of linear regression to capture complex nonlinear time phase transition in the weighted Function method, making the algorithm better at capturing details. …"

Experimental data. حسب YueSheng Jiang (19267984)

"…To overcome these limitations, this paper developed a simple and fast adaptive remote sensing image Spatio-Temporal fusion method based on Fit-FC, called Adapt Lasso-Fit-FC (AL-FF). Firstly, the sparse characteristics of time phase change between images are explored, and a time phase change estimation model based on sparse regression is constructed, which overcomes the fuzzy problem of fusion image caused by the failure of linear regression to capture complex nonlinear time phase transition in the weighted Function method, making the algorithm better at capturing details. …"

Results of the PY area visual assessment. حسب YueSheng Jiang (19267984)

"…To overcome these limitations, this paper developed a simple and fast adaptive remote sensing image Spatio-Temporal fusion method based on Fit-FC, called Adapt Lasso-Fit-FC (AL-FF). Firstly, the sparse characteristics of time phase change between images are explored, and a time phase change estimation model based on sparse regression is constructed, which overcomes the fuzzy problem of fusion image caused by the failure of linear regression to capture complex nonlinear time phase transition in the weighted Function method, making the algorithm better at capturing details. …"

3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. حسب Giacomo Janson (8138517)

Information of nodes and pipes of NYN. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

The topology of the NYN. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

The result of Wilcoxon signed-rand test. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

The Simulation and optimization process of pipe diameter selection. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Optional pipe diameter and unit price of NYN. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Optional pipe diameter and unit price of HN. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"