Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Spatial spectrum of the 100th frame under array distortion conditions (20 elements). by Gaoxiang Xing (21755689)

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Flowchart of the cohort selection process. by Debra A. Butt (11268344)

Schematic diagram of the end iterations of the genetic solution after the calculation of the greedy algorithm. by Zixi Wang (459102)

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Schematic diagram of the end iteration of the genetic solution after the calculation of the greedy algorithm. by Zixi Wang (459102)

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Comparison of PSNR values of different algorithms. by Xiaojun Wang (50332)

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Changes in FID values of different algorithms. by Xiaojun Wang (50332)

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Comparison of SSIM values of different algorithms. by Xiaojun Wang (50332)

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Changes in loss values for different algorithms. by Xiaojun Wang (50332)

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Overview of the C&CG method. by Tianhe Sun (21145341)

“…The model is solved iteratively using the column generation algorithm and strong duality theory. Case studies on a Northeast China power grid demonstrate that, by optimally configuring generation and storage capacity guided by flexibility and other indicators, the proposed method reduces curtailment/load shedding costs and system flexibility insufficiency probability by 45% and 4.3% respectively. …”

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

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Selected transaction data. by Ali Shahzad (15251641)

Comparison between pyAKI’s generated labels and the labels generated by the MIMIC-code implementation of the KDIGO criteria. by Christian Porschen (12967868)

Panel (a): Schematic diagram of model predictive control for optimising epidemic interventions. by Sandor Beregi (22177739)

A sample demonstration of DBCAA algorithm for 4 observers. by Abdulkerim Capar (20390120)

The source code includes training/validation scripts, pre-trained model weights, configuration files, and data processing tools. by Ju Liang (4277062)

Collaborative Research: Elements: A task-based code for multiphysics problems in astrophysics at exascale by Nils Deppe (19460062)

“…The code uses transformative algorithms to reach exascale. …”

Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)