The final grasping of the experimental UVMS. by Yong Dai (108856)

Hyperparameter optimization results. by Jiayue Zhang (7832669)

“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”

Optimal Sampling for Generalized Linear Models Under Measurement Constraints by Tao Zhang (43681)

“…We propose a response-free sampling procedure optimal sampling under measurement constraints (OSUMC) for generalized linear models. …”

General structure of COA optimized MNS-YOLO. by Jiayue Zhang (7832669)

“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”

Model comparison experiment. by Jiayue Zhang (7832669)

“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”

Modeling total time using vertices count and video size as predictors (linear regression). by Mohammed Hlayel (20455634)

Performance of COA on different models. by Jiayue Zhang (7832669)

“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”

Bayesian Optimization Methods for Nonlinear Model Calibration by Montana N. Carlozo (22175927)

“…This work develops and compares seven Gaussian process Bayesian optimization (GPBO) methods for calibrating nonlinear models. …”

Bayesian Optimization Methods for Nonlinear Model Calibration by Montana N. Carlozo (22175927)

“…This work develops and compares seven Gaussian process Bayesian optimization (GPBO) methods for calibrating nonlinear models. …”

Bayesian Optimization Methods for Nonlinear Model Calibration by Montana N. Carlozo (22175927)

“…This work develops and compares seven Gaussian process Bayesian optimization (GPBO) methods for calibrating nonlinear models. …”

Bayesian Optimization Methods for Nonlinear Model Calibration by Montana N. Carlozo (22175927)

“…This work develops and compares seven Gaussian process Bayesian optimization (GPBO) methods for calibrating nonlinear models. …”

Relationship between decompression time and bundle size (linear regression). by Mohammed Hlayel (20455634)

Comparison of different solution algorithms. by Jinqu Chen (20258031)

Individual relationship between total time and bundle size (linear regression). by Mohammed Hlayel (20455634)

Decompression time in relation to vertices count and video size (linear regression). by Mohammed Hlayel (20455634)

Branch power flow model. by Dai Wan (20108122)

“…This paper first introduces an assessment model of maximum DG hosting capacity in distribution network based on optimal power flow (OPF). …”

Experimental parameter settings. by Jiayue Zhang (7832669)

“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”

Structure of MNS-YOLO. by Jiayue Zhang (7832669)

“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”

Values used to build graphs. by Jiayue Zhang (7832669)

“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”

Minimal data set. by Jiayue Zhang (7832669)

“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”