Rastrigin function losses for . حسب Shikun Chen (14625352)

"…The approach leverages gradient information from neural networks to guide SLSQP optimization while maintaining XGBoost’s prediction precision. …"

Rosenbrock function losses for . حسب Shikun Chen (14625352)

"…The approach leverages gradient information from neural networks to guide SLSQP optimization while maintaining XGBoost’s prediction precision. …"

New building interior space layout model flow. حسب Ling Zhao (111365)

NRPStransformer, an Accurate Adenylation Domain Specificity Prediction Algorithm for Genome Mining of Nonribosomal Peptides حسب Zhihan Zhang (1403308)

"…Our work lays a foundation to understand the sequence-to-function relationship of the bacterial adenylation domain and will facilitate the exploitation of nonribosomal peptides. …"

Agreements and disagreements between scores of the therapist’s score on the tablet (T-score) and the automatic score (A-score) from the TabMe2 software. حسب Dominique Vincent-Genod (20552594)

Data is generated from ARMA (p, q) models with (p, q) , and the corresponding AIC table is created. حسب Jesse Wheeler (18462457)

Spectrograms extracted from the generalized S-transform corresponding to the adjustment parameters λ_<i>G</i> = 0.05, λ_<i>L</i> = 0.01. حسب Li Jiashen (20552690)

Type-1 membership function for distance. حسب Seung-Min Ryu (21463891)

"…<div><p>In this study, we present an algorithm to estimate the distance between a vehicle and a target object using light from headlights captured by a camera. …"

Type-1 membership function for speed. حسب Seung-Min Ryu (21463891)

"…<div><p>In this study, we present an algorithm to estimate the distance between a vehicle and a target object using light from headlights captured by a camera. …"

Workflow of the BOMS algorithm. حسب Ocima Kamboj (21533199)

Recursive-Expansive Dynamics Frameworks Formalization with Negation Isolation and Inverse Zero Operators حسب Del Bel, Julian (21403013)

الموضوعات: "…Mathematical methods and special functions…"

Supplementary Tables from SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors حسب Xinyi Liu (20493753)

The convergence curves of the test functions. حسب Ruiyu Zhan (21602031)

"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

Single-peaked reference functions. حسب Ruiyu Zhan (21602031)

"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

IDRAS algorithm outline. حسب Ron Teichner (21492434)

Cross-validated estimate of MSE error for the LASSO, Ridge and Elastic Net penalties (from top to bottom respectively) as a function of <i>log</i>λ. حسب Omid Chatrabgoun (17960015)

Cross-validated estimate of MSE error for the LASSO, Ridge and Elastic Net penalties (from top to bottom respectively) as a function of <i>log</i>λ. حسب Omid Chatrabgoun (17960015)

Heatmap results from the global sensitivity analysis for the generation of villous vessels within a placentone. حسب Diana C. de Oliveira (9220729)

Supplementary Figure S2 from SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors حسب Xinyi Liu (20493753)

Supplementary Figure S7 from SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors حسب Xinyi Liu (20493753)