Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. حسب Liyan Sun (760586)

الموضوعات:

Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset. حسب Liyan Sun (760586)

الموضوعات:

The penetrance tables for the 8 DME models. حسب Liyan Sun (760586)

الموضوعات:

F-measure comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset. حسب Liyan Sun (760586)

الموضوعات:

The penetrance tables for the 6 DNME3 models. حسب Liyan Sun (760586)

الموضوعات:

Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. حسب Liyan Sun (760586)

الموضوعات:

F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. حسب Liyan Sun (760586)

الموضوعات:

Part of epistatic interactions found by Epi-SSA (n = 600 maxG = 800000). حسب Liyan Sun (760586)

الموضوعات:

Source code for data mining from Apache JIRA project. حسب Susmita Haldar (17707125)

TreeMap 2016 Stand Size Code Field (Image Service) حسب U.S. Forest Service (17476914)

"…<div>TreeMap 2016 provides a tree-level model of the forests of the conterminous United States.…"

Average faces. حسب Radek Ošlejšek (21982892)

The impact of auto-cropping on the registration. حسب Radek Ošlejšek (21982892)

Comparison of distance heatmaps. حسب Radek Ošlejšek (21982892)

G4SNVHunter workflow for identifying variants that affect G4 formation. حسب Rongxin Zhang (1618159)

CBAM module architecture. حسب Buyu Wang (17889178)

Distribution of centrality measures on the interaction network of <i>G. glauca</i> targets. حسب María José Cambero Acosta (21637492)

Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4 حسب Berith Atemoztli De la Cruz Sánchez (21758708)

"…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. To address this, we propose a hybrid approach that combines elastic and hyperelastic finite element simulations, complemented by convolutional neural networks (CNNs), to generate synthetic tactile maps of a soft capacitive tactile sensor. …"

Enhancing the Robustness of Vehicle Re-Identification in Intelligent Transportation Systems حسب Mei Qiu (21081170)

Code and data for evaluating oil spill amount from text-form incident information حسب Yiming Liu (18823387)

"…<h2>Dataset and Code Description</h2><p dir="ltr">This repository includes the code and data for evaluating oil spill amounts from incident textual information. …"

Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" حسب 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. The detailed implementation, source code and demo dataset are included in dedicated folders for each chapter.…"