Algorithm for constructing Boot-t CIs. by Qin Gong (118801)

Subjects: “…lindley approximation algorithm…”

Research process. by Yongjian Zhang (3986126)

Subjects:

Numbers of iterations (#Ite) and eigenvalue calculations (#Eig) in the DC algorithm on the random and chain graph datasets. by Tomokaze Shiratori (9635271)

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Confusion matrix for RUSBoost algorithm (3000 Learning Cycles) highlights the classification accuracy across different classes. by Sadia Nazim (21440115)

Different steps of the experiment and data processing. by Isabel Barradas (20614853)

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Data processing. by Jay Chandra (19703931)

bppMigration-algorithms-data.tgz by Ziheng Yang (22169779)

“…This challenging problem has been tackled most successfully in the Bayesian framework under the multispecies coalescent (MSC) model via Markov chain Monte Carlo (MCMC) computational algorithms. …”

Frameworks: Infrastructure for Political and Social Event Data Using Machine Learning by Javier Osorio (21782588)

(A) PPI network of Co-genes. (B-D) Three blue, green, and red gene clusters were obtained using k-means for Co-genes. (E) Processing PPI data for Co-genes using Cytoscape. (F) Analyzing PPI data for Co-genes using the Degree algorithm.... by Qingcong Zheng (11169094)

Subjects:

Process flow diagram for the differential analysis of beta-valued DNA methylation data using a novel family of beta mixture models. by Koyel Majumdar (20416871)

Subjects:

Supporting data for "Toward Self-Improving and Sustainable Large Language Models" by Qintong Li (11173806)

Subjects:

1d-MSCNN + GRU model process. by Jianpeng Zhang (528185)

Subjects:

Proposing sequence genetic distances with a locally greedy algorithm. by Hannah Waddel (21520023)

tUbenet Foundation Model Weights by Natalie Holroyd (7099391)

Confusion matrix for Random Forest algorithm (3000 Number of trees) highlights the classification accuracy across different classes. by Sadia Nazim (21440115)

The data processing and analysis pipeline. by Xin Zhang (35492)

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Data augmentations used on the data during model training. by Henrik Mustonen (20378529)

Ultrafast Hydrogen Detection System Using Vertical Thermal Conduction Structure and Neural Network Prediction Algorithm Based on Sensor Response Process by Ruilin Yang (151028)

“…The fabricated sensor exhibits rapid response, wide detection range, and wide operating temperature, while showing good long-term stability and excellent selectivity. Meanwhile, the model significantly enhanced the detection speed by enabling hydrogen concentration prediction using only the initial 40 data points (sampling frequency of 100 Hz) from the sensor response before the sensor completes the entire response process. …”

Ultrafast Hydrogen Detection System Using Vertical Thermal Conduction Structure and Neural Network Prediction Algorithm Based on Sensor Response Process by Ruilin Yang (151028)

“…The fabricated sensor exhibits rapid response, wide detection range, and wide operating temperature, while showing good long-term stability and excellent selectivity. Meanwhile, the model significantly enhanced the detection speed by enabling hydrogen concentration prediction using only the initial 40 data points (sampling frequency of 100 Hz) from the sensor response before the sensor completes the entire response process. …”

Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" by Yifei Gu (9507104)

“…<p dir="ltr">This thesis bridges the gap between field observations and the empirical understanding of ecological systems by applying AI models at different spatial scales and hierarchical levels to study ecological complexity. …”