Optimal Bayesian sparsity threshold selection. by Jarod Smith (11999040)

Simulation of realistic, wavelength- and time-dependent noise for an absorption kinetic experiment on a bR sample. by László Zimányi (2649973)

Number of samples and sample usage for each site. by Jibo Zhang (38440)

Data Sheet 1_Bayesian Optimization of insect trap distribution for pest monitoring efficiency in agroecosystems.pdf by Eric Yanchenko (3266514)

Comparative analysis of off-policy PPO algorithm and on-policy algorithm on the a) CSMAR and b) MorningStar datasets. by Cai Yuanqing (22513351)

Comparative analysis of computational efficiency across various hyperparameter optimization algorithms on the CSMAR and MorningStar datasets. by Cai Yuanqing (22513351)

ROC curve for binary classification. by Nicodemus Songose Awarayi (18414494)

“…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”

Confusion matrix for binary classification. by Nicodemus Songose Awarayi (18414494)

“…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”

Bayesian network for BMV_OD model. by Xinchi Dong (18554525)

“…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”

A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

“…Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. The A* algorithm then evaluated connectivity by minimizing Euclidean distance and heuristic cost between cells. …”

The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

Bayesian network for BMV_C1 model. by Xinchi Dong (18554525)

“…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”

Bayesian network for BMV_C3 model. by Xinchi Dong (18554525)

“…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”

Bayesian network for BMV_C2 model. by Xinchi Dong (18554525)

“…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”

Distribution of accident categories before and after sampling. by Xinchi Dong (18554525)

Dataset 2: Zip file containing the Tables of the presented method and results by Suchismita Behera (22027316)

Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferroelectrics by Rama K. Vasudevan (1612174)

Subjects:

Action potential of sample points in model 1. by Hang Zhao (143592)

Action potential of sample points in model 2. by Hang Zhao (143592)

Action potential of sample points in model 0. by Hang Zhao (143592)