Reconstruction results of a central slice of MPRAGE data at 3T. by Chi Zhang (9857)

Reconstruction results of a central slice of MPRAGE data at 7T. by Chi Zhang (9857)

Actual vs predicted EV charging demand in three regions. by Qing Zhu (349093)

Genetic algorithm RfaH designs exhibit greater sequence similarity to NusG-like foldswitching proteins than non-foldswitching proteins. by Lu Hong (399882)

Line plots current over fault type. by Zawar Ahmed Khan (22574556)

EITO_P with flexible trip time. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

Energy consumption in the PPO process. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

Speed limits. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

Running time in the PPO process. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

Speed limits and gradients from RJ to WYJ. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

EITO_E speed distance profile. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

Speed limits and gradient from SJZ to XHM. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

Parameters of DKZ32. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

EITO_<i>P</i> with a variable trip time. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

mAP@0.5 line charts for different models. by Meiling Shi (13148944)

Table_1_Deep Learning for Predicting Complex Traits in Spring Wheat Breeding Program.docx by Karansher S. Sandhu (9938522)

“…Analytical methods for complex datasets traditionally used in other disciplines represent an opportunity for improving prediction accuracy in GS. Deep learning (DL) is a branch of machine learning (ML) which focuses on densely connected networks using artificial neural networks for training the models. …”

Fig 19 - by Tomasz Gutowski (17200042)

Fig 18 - by Tomasz Gutowski (17200042)

Fig 16 - by Tomasz Gutowski (17200042)

Fig 17 - by Tomasz Gutowski (17200042)