Summary of the feature selection algorithms. by Martin Kostadinov (20410120)

Run times of two algorithms. by Gourab Saha (8987405)

“…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …”

Running time of each algorithm. by Haiyan Zhang (176919)

“…To verify the superiority of the algorithm, we selected Bilateral, NLM, Kuan, Lee, Lee-Enhanced, and Lee-Sigma as comparison algorithms. …”

List of the time used by each algorithm. by JiaMing Gong (20427837)

“…First, to address the problem of imbalanced learning in training data chunks arriving at different times, EDAC adopts an entropy-based balanced strategy. …”

Fusion outcomes for select frames in the INO dataset. by Yandong Liu (11893664)

Subjects:

Fusion outcomes for select frames in the BEPMS dataset. by Yandong Liu (11893664)

Subjects:

Fusion outcomes for select frames in the OTCBVS dataset. by Yandong Liu (11893664)

Subjects:

Standard model selected for research. by Guangmei Ma (21432861)

Algorithm for MFISTA-VA [30]. by Faisal Najeeb (20542714)

“…Reconstruction results of the proposed method are evaluated by using: (i) convergence error, (ii) peak and mean values of arterial signal intensity in the selected region of interest (ROI) of DCE MR Images, and (iii) reconstruction time. …”

DMTD algorithm. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

Running time in the PPO process. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

HMM to infer selection. by Adam G. Fine (21763286)

Time-frequency feature extraction flowchart. by Minan Tang (20389941)

“…Then, the CPO-CNN classification model is used for feature extraction and feature selection of the time-frequency diagrams and classification of multiple power quality disturbances. …”

EITO_P with flexible trip time. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

Haplotype phylogenies and iSNV frequency trajectories across sampling time points (patient A and J). by Lele Zhao (532080)

EITO_<i>P</i> with a variable trip time. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

Frequency trajectory and evidence for non-neutrality at the ASIP locus. by Adam G. Fine (21763286)

Boxplots for different parameter ranges. by Adam G. Fine (21763286)

Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

“…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …”

Algorithm parameter setting. by Haiyan Zhang (176919)

“…To verify the superiority of the algorithm, we selected Bilateral, NLM, Kuan, Lee, Lee-Enhanced, and Lee-Sigma as comparison algorithms. …”