Algorithm operation steps. by Junyan Wang (4738518)

“…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”

Evolution of objective function. by Serdar Ekinci (15927455)

“…In AVR control, QWGBO is coupled with a cascaded real proportional-integral-derivative with second order derivative (RPIDD²) and fractional-order proportional-integral (FOPI) controller, aiming for precision, stability, and quick response. The algorithm’s performance is verified through rigorous simulations, emphasizing its effectiveness in optimizing complex engineering problems. …”

WGCNA and machine learning algorithms. by Shushu Wang (6870191)

The control algorithm of MPC for SSI. by Ahmed Abdelaleem (19066115)

Flowchart of step() function. by Raed Alharthi (18340157)

Completion times for different algorithms. by Jianbin Zheng (587000)

“…In the context of intelligent manufacturing, there is still significant potential for improving the productivity of riveting and welding tasks in existing H-beam riveting and welding work cells. In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …”

The average cumulative reward of algorithms. by Jianbin Zheng (587000)

“…In the context of intelligent manufacturing, there is still significant potential for improving the productivity of riveting and welding tasks in existing H-beam riveting and welding work cells. In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …”

The GOR4 and SOPMA algorithm findings. by Ahmad Abdullah Mahdeen (19704401)

Brief sketch of the quasi-attraction/alignment algorithm. by Takayuki Niizato (162226)

“…The focal agent selects its next direction randomly based on . (D) A brief sketch of the avoidance algorithm. …”

Simulation settings of rMAPPO algorithm. by Jianbin Zheng (587000)

“…In the context of intelligent manufacturing, there is still significant potential for improving the productivity of riveting and welding tasks in existing H-beam riveting and welding work cells. In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …”

Comparative analysis of algorithms. by Xumin Zhao (18261643)

“…Moreover, it curtails the average system response time by 2.4% and 16.5% compared to the LRU and LFU algorithms, respectively, particularly in scenarios involving large cache sizes. …”

Mean OP score on the visual tracker benchmark dataset and its challenging sub-categories for the top ten tracking algorithms[1,2,3,4,5,21,11,8,7,6]. by Mingqi Luo (8703627)

Loss function and accuracy curve comparison. by Dayu Zhang (710629)

Iteration Vs fitness function. by Ajmeera Kiran (16819294)

The fog calculates the average response speed. by Xumin Zhao (18261643)

“…Moreover, it curtails the average system response time by 2.4% and 16.5% compared to the LRU and LFU algorithms, respectively, particularly in scenarios involving large cache sizes. …”

Data_Sheet_1_Resting-State Functional Connectivity Estimated With Hierarchical Bayesian Diffuse Optical Tomography.docx by Takatsugu Aihara (4433524)

“…We recently proposed a hierarchical Bayesian (HB) DOT algorithm and verified its performance in terms of task-related brain responses. …”

Experimental results for all algorithms on benchmark functions. by Shuhan Du (13955497)

Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

Average runtime for all algorithms on benchmark functions (in second). by Shuhan Du (13955497)

Example of a network, its transition function, and its initial and desired states. by Mohammad Moradi (3642007)