Initialization of variables in the APDCA algorithm. by Yangsong He (13909371)

Subjects:

Performance of machine learning algorithms. by Wenxue Liu (6877754)

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.…”

The genetic algorithm. by Viktoria Zemliak (19500335)

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)

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

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

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. …”

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.…”

Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)

S9 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges by Hanne Zillmer (21782030)

S10 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges by Hanne Zillmer (21782030)

S8 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges by Hanne Zillmer (21782030)

S7 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges by Hanne Zillmer (21782030)

S11 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges by Hanne Zillmer (21782030)

Code for "Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset" by Yufeng Ke (16539882)

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