Table_1_A quantization algorithm of visual fatigue based on underdamped second order stochastic resonance for steady state visual evoked potentials.DOCX حسب Peiyuan Tian (6428570)

"…This scheme uses the fixed-step energy parameter optimization algorithm we designed, combined with the USSR model, to significantly improve the signal-to-noise ratio of the processed signal at the target characteristic frequency. …"

Details of 23 basic benchmark functions. حسب Ying Li (38224)

Fire monitoring process. حسب Md. Shafak Shahriar Sozol (21212880)

Algorithm flowchart of OFEO. حسب Wenshun Sheng (21485393)

"…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …"

Graphical user interface for visualization. حسب Yukako Yamane (9034133)

Solving the three-objectives numerical problem from [36] using a generalized version of the ROSE algorithm for three-objective problems: (a) The Pareto front representation corresp... حسب Ihab Hashem (21156806)

Classical Predictive Coding for motion processing. حسب Elnaz Nemati (21402730)

Image1_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.JPEG حسب Wisnu Ananta Kusuma (9276182)

Image2_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.JPEG حسب Wisnu Ananta Kusuma (9276182)

Image4_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.jpg حسب Wisnu Ananta Kusuma (9276182)

Image5_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.jpg حسب Wisnu Ananta Kusuma (9276182)

Image3_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.JPEG حسب Wisnu Ananta Kusuma (9276182)

DataSheet1_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.docx حسب Wisnu Ananta Kusuma (9276182)

The matching process of EIOU. حسب Wenshun Sheng (21485393)

"…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …"

Resource-efficient bio-inspired visual processing on the hexapod walking robot HECTOR - Fig 6 حسب Hanno Gerd Meyer (8655096)

Visualization results of our approach. حسب Huili Dou (20896665)

"…In order to improve the detection performance of the model, we introduced a multi-scale feature fusion module and an improved non-maximum suppression (NMS) algorithm based on the YOLOv8 model. The multi-scale feature fusion module enhances the model’s detection ability for targets of different sizes by combining feature maps of different scales; the improved non-maximum suppression algorithm effectively reduces repeated detection and missed detection by optimizing the screening process of candidate boxes. …"

Data processing. حسب Meiling Shi (13148944)

"…To achieve accurate identification, this paper proposes a small object detection algorithm called STF-YOLO (Small Target Detection with Swin Transformer and Focused YOLO), which integrates the Swin Transformer module and the YOLOv8 network to improve the detection ability of small objects. …"

Comparison of different model algorithms. حسب Meiling Shi (13148944)

"…To achieve accurate identification, this paper proposes a small object detection algorithm called STF-YOLO (Small Target Detection with Swin Transformer and Focused YOLO), which integrates the Swin Transformer module and the YOLOv8 network to improve the detection ability of small objects. …"

Performance comparison of the proposed model against recent studies (related to Table 7). حسب Islam Zada (21755819)

Detection accuracy across individual traffic classes (related to Table 6). حسب Islam Zada (21755819)