The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

Subjects:

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:

Performance Analysis of Super-resolution Algorithms. by Persiya J. (21743388)

Performance Metrics Comparison for Various Detection Algorithms. by Persiya J. (21743388)

Process of facial feature extraction and recognition method based on ipca algorithm. by Lu Lin (201289)

Acc epoch loss curve of IPCA algorithm. by Lu Lin (201289)

Data Sheet 1_Semantic composition of robotic solver algorithms on graph structures.pdf by Sven Schneider (1366548)

Subjects: “…Artificial Intelligence and Image Processing…”

Algorithm pseudocode. by Cheng-jie Chen (22272090)

Subjects:

Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)

Effects of processing rate and algorithms performance on estimates of biodiversity. by Valentine Fleuré (12822137)

Subjects:

Experimental software and hardware configuration and algorithm initialization parameter settings. by Lu Lin (201289)

Four algorithms construct feature face time and recognition time on different datasets. by Lu Lin (201289)

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

tUbenet Foundation Model Weights by Natalie Holroyd (7099391)

Subjects: “…Image processing…”

GenSearch algorithm. by Tarun Khajuria (12117309)

Subjects:

Here is the extracted cattle’s image from the original image using YOLOv5 algorithm, which accurately detects and isolates the cattle for further processing. by Md Junayed Hossain (22615268)

Subjects:

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.…”