Relationship between primary and cumulative extinction in 12 food webs in order of species richness. حسب Chuanjin Fan (15453381)

Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement حسب Antoine Falisse (6061601)

"…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …"

Table_1_Optimal Reopening Pathways With COVID-19 Vaccine Rollout and Emerging Variants of Concern.pdf حسب Yanyu Xiao (682443)

Schematic representation of semi-automated algorithm for organoids analyzing. حسب Anna Demchenko (18449439)

ACSA flowchart. حسب Faizan e Mustafa (18004325)

"…This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. …"

ACSA pseudo code for proposed control process. حسب Faizan e Mustafa (18004325)

"…This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. …"

Original waveform of fault 14. حسب Faizan e Mustafa (18004325)

"…This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. …"

Original waveform of fault 15. حسب Faizan e Mustafa (18004325)

"…This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. …"

ACSA convergence profile. حسب Faizan e Mustafa (18004325)

"…This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. …"

ACSA plots for FAR vs FDR. حسب Faizan e Mustafa (18004325)

"…This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. …"

SQP fitness progress for TEP [56]. حسب Faizan e Mustafa (18004325)

"…This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. …"

Process fault of Tennessee Eastman process. حسب Faizan e Mustafa (18004325)

"…This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. …"

ACSA fitness progress for TEP. حسب Faizan e Mustafa (18004325)

"…This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. …"

Schematic diagram of TEP. حسب Faizan e Mustafa (18004325)

"…This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. …"

Detection of fault 15. حسب Faizan e Mustafa (18004325)

"…This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. …"

Detection of fault 14. حسب Faizan e Mustafa (18004325)

"…This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. …"

Quantitative analysis of ACSA for TEP process. حسب Faizan e Mustafa (18004325)

"…This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. …"

Combined ACSA plots for FAR and FDR progression. حسب Faizan e Mustafa (18004325)

"…This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. …"

Table_4_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX حسب Hui Tang (226667)

"…On the one hand, the high-order Pearson's correlation coefficient can highlight the latent patterns underlying noisy input datasets and thus improve the accuracy and robustness of the algorithms currently available for sample clustering. …"

Table_2_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX حسب Hui Tang (226667)

"…On the one hand, the high-order Pearson's correlation coefficient can highlight the latent patterns underlying noisy input datasets and thus improve the accuracy and robustness of the algorithms currently available for sample clustering. …"