Experimental statistical results for <i>f</i>₅ to <i>f</i>_10. by Yu Liu (6938)

“…<div><p>The competition of tribes and cooperation of members algorithm (CTCM) is a novel swarm intelligence algorithm, which increases the diversity of the population to a certain extent through tribal competition and member cooperation mechanisms. …”

Experimental statistical results for <i>F</i>₁₄ to <i>F</i>_18. by Yu Liu (6938)

“…<div><p>The competition of tribes and cooperation of members algorithm (CTCM) is a novel swarm intelligence algorithm, which increases the diversity of the population to a certain extent through tribal competition and member cooperation mechanisms. …”

Fig 10 - by Limin Ma (556873)

Original and noisy head phantom images. by Limin Ma (556873)

Test functions. by Jun Fu (163683)

“…By refining the algorithm to augment its parameter control capabilities and employing test functions for experimental comparisons, the improved algorithm exhibited accelerated convergence and increased accuracy. …”

Quantum Simulation of Molecular Dynamics ProcessesA Benchmark Study Using a Classical Simulator and Present-Day Quantum Hardware by Tamila Kuanysheva (21546962)

“…Although Qiskit provides a general method for initializing wave functions, in most cases it generates deep quantum circuits. …”

Trajectory comparison for system 3: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Trajectory comparison for system 1: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Trajectory comparison for system 2: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Computational Pipeline for Accelerating the Design of Glycomimetics by Yao Xiao (227567)

Subjects:

Results from the performance-based assessments of hand function for PALS and the age/sex matched healthy subgroup. by Conor D. Hayden (20855587)

A visual representation of the windows used in the study. by Abeer Aljohani (18497914)

Parameters: <i>A</i> = 20, <i>c</i> = 1, . by Nicholas A. Rondoni (21573261)

Benchmark functions. by Qinghe Guo (21519322)

the functioning of BRPSO. by Hossein Jarrahi (22530251)

Schematic diagram of MHSA mechanism. by Guofeng Qin (11025170)

“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”

Improved FPN combined with PAN structure. by Guofeng Qin (11025170)

“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”

YOLOv5s network structure. by Guofeng Qin (11025170)

“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”

Improved YOLOv5s network structure. by Guofeng Qin (11025170)

“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”

Improved YOLOv5s-DeepSORT network structure. by Guofeng Qin (11025170)

“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”