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

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

Comparison between ILSTM and machine learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

Comparison between ILSTM and deep learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

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

الموضوعات:

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

MSE for ILSTM algorithm in binary classification. حسب 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 average rankings of algorithms in PSNR, FSIM, and SSIM. حسب Zhenjing Xie (18196063)

Final results. حسب Wang Chen (559614)

The illustration depicts our CQ-CNN architecture for binary image classification. حسب Mominul Islam (3513758)

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

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

Training process. حسب Ning Zhao (84707)

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

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... حسب Yangyang Liu (807797)

Workpiece processing information. حسب Guilin Yang (583364)

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

The ANFIS algorithm details. حسب Mohammadmahdi Taheri (21722285)

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

Parameter setting of the testing algorithm. حسب 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.…"