Optimize process data and final results by Dawei Wang (471687)

One advantage of our algorithm is that it is not binary in nature. by Yong Kuk Kim (13955214)

Final settings for the algorithms. by Raphael Souza de Oliveira (12647110)

The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. by Olaide N. Oyelade (14047002)

Subjects:

Binary encoding scheme. by Binh Thanh Dang (12368831)

Final average rankings of algorithms in PSNR, FSIM, and SSIM. by Zhenjing Xie (18196063)

Optimization of tracking parameters based on <i>P</i>_<i>swap</i>. by Benjamin Gallois (10131683)

MSE for ILSTM algorithm in binary classification. by Asmaa Ahmed Awad (16726315)

“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …”

Final results. by Wang Chen (559614)

Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple tea fields.XLSX by Yangyang Liu (807797)

Evaluation of developed intrusion detection model with different heuristic algorithms. by P. M. Vijayan (17095147)

Test performance metrics for the final model. by Ramona Leenings (11167294)

Training process. by Ning Zhao (84707)

Schematic representation of semi-automated algorithm for organoids analyzing. by Anna Demchenko (18449439)

Workpiece processing information. by Guilin Yang (583364)

Comparison with SOTA model in number of iterations and final cost. by Zixi Wang (459102)

The ANFIS algorithm details. by Mohammadmahdi Taheri (21722285)

Two-stage object detection algorithm process. by Xutao Liu (13006965)

Parameter setting of the testing algorithm. by Zhenjing Xie (18196063)

“…The findings reveal that DBO-Otsu substantially surpasses its counterparts in image segmentation quality and processing speed. Further empirical analysis on a dataset comprising TPD cases from level 1 to 5 underscores the algorithm’s practical utility, achieving an impressive 80% accuracy in severity level identification and underscoring its potential for TPD image segmentation and recognition tasks.…”

Test result of seven algorithms. by Zhenjing Xie (18196063)

“…The findings reveal that DBO-Otsu substantially surpasses its counterparts in image segmentation quality and processing speed. Further empirical analysis on a dataset comprising TPD cases from level 1 to 5 underscores the algorithm’s practical utility, achieving an impressive 80% accuracy in severity level identification and underscoring its potential for TPD image segmentation and recognition tasks.…”