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. …"

Models and Dataset حسب M RN (9866504)

"…</p><p dir="ltr"><br></p><p dir="ltr"><b>RAO (Rao Optimization Algorithm):</b><br>RAO is a parameter-less optimization algorithm that updates solutions based on simple arithmetic operations involving the best and worst individuals in the population. …"

Table_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx حسب Massaine Bandeira e Sousa (7866242)

"…Cooking data were classified into binary and multiclass variables (CT4C and CT6C). …"

Supplementary Material 8 حسب Nishitha R Kumar (19750617)

"…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…"

Seed mix selection model حسب Bethanne Bruninga-Socolar (10923639)

"…The genetic algorithm then operated over 1000 iterations, applying crossover and mutation processes to optimize bee richness. …"

Flow diagram of the automatic animal detection and background reconstruction. حسب David Tadres (9120564)

"…(E) The threshold value is calculated based on the histogram: it is the mean of the image subtracted by 4 (optimal value defined by trial and error). …"

Table_3_Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species.docx حسب Laura M. Zingaretti (8409285)

"…However, by using a parameterization capable of taking into account these non-linear effects, Bayesian linear models can match or exceed the predictive accuracy of DL. …"

Table_2_Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species.docx حسب Laura M. Zingaretti (8409285)

"…However, by using a parameterization capable of taking into account these non-linear effects, Bayesian linear models can match or exceed the predictive accuracy of DL. …"

Image_1_Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species.pdf حسب Laura M. Zingaretti (8409285)

"…However, by using a parameterization capable of taking into account these non-linear effects, Bayesian linear models can match or exceed the predictive accuracy of DL. …"

Table_1_Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species.docx حسب Laura M. Zingaretti (8409285)

"…However, by using a parameterization capable of taking into account these non-linear effects, Bayesian linear models can match or exceed the predictive accuracy of DL. …"

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

"…Details on the data sourcing process, prompt engineering strategies for large language model (LLM)-based extraction, and validation protocols are provided in the Supplementary Information section.…"