Experimental Online Quantum Dots Charge Autotuning Using Neural Networks by Victor Yon (20797473)

Subjects:

MODNet: A Monocular Object-Based Depth Estimation Network for AI Robotic Chemists by Xun Fu (2081062)

Subjects:

MODNet: A Monocular Object-Based Depth Estimation Network for AI Robotic Chemists by Xun Fu (2081062)

Subjects:

MTVRP.ipynb by Brayan Steven Perdomo Cardenas (20553410)

“…A routing model with multiple trips and a heterogeneous fleet is developed, considering these times during soft drink distribution. …”

Simulation of multiple agents minimizing the dissonance function following homophily by Mohsen Raoufi (18775639)

Evaluation of the independent prognostic value of the PRG score index and construction of a nomogram model. by Xiangxin Wu (22320058)

Research on the double-edged effect of intelligent algorithm recommendation on shaping college students' values and the path of collaborative governance by Ye Geng (22390195)

“…<p dir="ltr">This study proposes a stochastic game model of value perception using a multi-agent reinforcement learning framework to address the double-edged influence of algorithmic recommendation systems on college students' values. …”

Rapid identification of Liubao tea vintage based on terahertz spectroscopy combined with improved differentiated creative search algorithm by Huo Zhang (3666256)

“…This approach yields a classification model with higher search efficiency. Compared with the support vector machine models optimized by Genetic Algorithm, Particle Swarm Optimization, and differentiated creative search algorithm, the new model achieved the best classification performance, with an accuracy of 96.87% and an F1 score of 0.9683. …”

Flawless analysis framework overview, with application to EEG power spectral densities as functional data observed over time. by Owen Forbes (4530652)

Land cover change detection map for the Congo Basin. by Yisa Ginath Yuh (20370814)

SimSPPF module structure. by Mengqi Yuan (4852555)

“…<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. …”

mAP@0.5 results. by Mengqi Yuan (4852555)

“…<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. …”

YOLOv8n network architecture diagram. by Mengqi Yuan (4852555)

“…<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. …”

Radar parameters. by Mengqi Yuan (4852555)

“…<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. …”

PANet network design. by Mengqi Yuan (4852555)

“…<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. …”

BiFPN network design. by Mengqi Yuan (4852555)

“…<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. …”

Results of ablation experiments. by Mengqi Yuan (4852555)

“…<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. …”

Image of the ReLU function. by Mengqi Yuan (4852555)

“…<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. …”

Comparative test results. by Mengqi Yuan (4852555)

“…<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. …”

Recall results. by Mengqi Yuan (4852555)

“…<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. …”