Illustration of the transformed binary images of normal, benign, and malignant samples into grayscale. حسب Tehnan I. A. Mohamed (16846175)

Principle of the SVM algorithm. حسب Anfeng Zhu (17817144)

Sample image for illustration. حسب Indhumathi S. (19173013)

"…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"

A construction method of a multidimensional and multilingual association network for earth surface system science data حسب Qinjun Qiu (13306416)

"…The method quantitatively computes one-dimensional and multidimensional similarities using five primary indicators of multilingual data, enabling semantic interconnection and facilitating knowledge discovery within open scientific data related to the Earth surface system. …"

Quadratic polynomial in 2D image plane. حسب Indhumathi S. (19173013)

"…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"

Comparison analysis of computation time. حسب Indhumathi S. (19173013)

"…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"

Process flow diagram of CBFD. حسب Indhumathi S. (19173013)

"…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"

Precision recall curve. حسب Indhumathi S. (19173013)

"…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"

Proposed model tuned hyperparameters. حسب Subathra Gunasekaran (19492680)

"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"

The workflow of the proposed model. حسب Subathra Gunasekaran (19492680)

"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"

ResNeXt101 training and results. حسب Subathra Gunasekaran (19492680)

"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"

Proposed model specificity and DSC outcomes. حسب Subathra Gunasekaran (19492680)

"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"

Accuracy comparison of proposed and other models. حسب Subathra Gunasekaran (19492680)

"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"

Architecture of ConvNet. حسب Subathra Gunasekaran (19492680)

"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"

Comparison of state-of-the-art method. حسب Subathra Gunasekaran (19492680)

"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"

Proposed model sensitivity outcome. حسب Subathra Gunasekaran (19492680)

"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"

Proposed ResNeXt101 operational flow. حسب Subathra Gunasekaran (19492680)

"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"

Fortran & C++: design fractal-type optical diffractive element حسب I-Lin Ho (13768960)

"…</p> <p>(2) calculate diffraction fields for fractal and/or grid-matrix (binary) phase-holograms.</p> <p>(3) optimize the fractal and/or grid-matrix holograms for given target diffraction images, using annealing algorithms. …"

Data used to drive the Double Layer Carbon Model in the Qinling Mountains. حسب Huiwen Li (17705280)

"…</p><p dir="ltr">Here we provided the dataset used to drive the DLCM, including annual net primary production (NPP) from 1982 to 2018, SOC maps in the two soil layers during the 1980s, annual mean temperature maps from 1982 to 2018, and annual surface soil moisture and root-zone soil moisture maps from 1982 to 2018. …"

Data_Sheet_1_Hierarchical multi-class Alzheimer’s disease diagnostic framework using imaging and clinical features.docx حسب Yao Qin (385509)