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

Testing algorithm for modified 2-tiered approaches to Lyme disease diagnosis. حسب Richard Porwancher (11413931)

<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

"…The sequences can include from a single SNP-allele pair up to a maximum number of pairs defined by the user (<i>l</i>_max). <b>(C)</b> The whole training data is then scanned, searching for these sequences and deriving a re-encoded dataset where interaction terms are binary features (i.e., 1 if sequence <i>i</i> is observed in <i>j</i>-th patient genotype, 0 otherwise). …"

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. …"

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). …"

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)

Molecular modeling and SEC analysis of CAR and CD46 binding. حسب A. Manuel Liaci (20642831)

Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield... حسب Uttam Khatri (12689072)

"…Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. …"

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles حسب Soham Savarkar (21811825)

"…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…"