Working of airspeed and altitude controller. حسب Hasan Raza Khanzada (22404835)

"…However, a critical gap persists in the rigorous evaluation and comparative analysis of leading continuous-space RL algorithms. This paper aims to provide a comparative analysis of RL-driven flight control systems for fixed-wing UAVs in dynamic and uncertain environments. …"

Comparison of RL agents. حسب Hasan Raza Khanzada (22404835)

"…However, a critical gap persists in the rigorous evaluation and comparative analysis of leading continuous-space RL algorithms. This paper aims to provide a comparative analysis of RL-driven flight control systems for fixed-wing UAVs in dynamic and uncertain environments. …"

Track followed by fixed wing UAV. حسب Hasan Raza Khanzada (22404835)

"…However, a critical gap persists in the rigorous evaluation and comparative analysis of leading continuous-space RL algorithms. This paper aims to provide a comparative analysis of RL-driven flight control systems for fixed-wing UAVs in dynamic and uncertain environments. …"

Training process for RL agents. حسب Hasan Raza Khanzada (22404835)

"…However, a critical gap persists in the rigorous evaluation and comparative analysis of leading continuous-space RL algorithms. This paper aims to provide a comparative analysis of RL-driven flight control systems for fixed-wing UAVs in dynamic and uncertain environments. …"

Exploiting travel sequences to optimise facility layouts with multiple input/output points حسب Seyyed Mahdi Ghorashi Khalilabadi (20475618)

Data Sheet 1_Real-world data-driven early warning system for risk-stratified liver injury in hospitalized COVID-19 patients—Machine learning models for clinical decision support.do... حسب Yuanguo Xiong (20135991)

"…Thirteen distinct machine learning (ML) algorithms were trained and benchmarked to construct an optimal risk stratification framework. …"

PENGELOMPOKAN SISWA BERDASARKAN SKOR AKADEMIK (MATEMATIKA, MEMBACA, MENULIS) MENGGUNAKAN METODE K-MEANS & HIERARCHICAL CLUSTERING حسب Warlina . (21691328)

"…These findings provide valuable insights for developing adaptive, data-driven learning strategies tailored to each cluster’s characteristics. …"

Data Sheet 2_Early stroke detection through machine learning in the prehospital setting.pdf حسب María Ríos Delgado (22004942)

Data Sheet 1_Early stroke detection through machine learning in the prehospital setting.pdf حسب María Ríos Delgado (22004942)

Table 1_Early stroke detection through machine learning in the prehospital setting.xlsx حسب María Ríos Delgado (22004942)

Blessing from Human-AI Interaction: Super Policy Learning in Confounded Environments حسب Jiayi Wang (294312)

"…Building upon on these novel identification results, we develop several super-policy learning algorithms and systematically study their theoretical properties such as finite-sample regret guarantee. …"

Table1_RETRACTED: Generating adversarial deep reinforcement learning -based frequency control of Island City microgrid considering generalization of scenarios.XLSX حسب Houtianfu Wang (18145792)

"…A new policy generation algorithm, based on generative adversarial-proximal policy optimization (DAC-PPO), is proposed. …"

The control result in Experiment 6. حسب Jiamin Hu (8972420)

"…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …"

Diagram of the IoT network evolutionary model. حسب Jiamin Hu (8972420)

"…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …"

The evaluation of experiments. حسب Jiamin Hu (8972420)

"…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …"

The control results in Experiment 1. حسب Jiamin Hu (8972420)

"…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …"

The control result in Experiment 5. حسب Jiamin Hu (8972420)

"…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …"

The control results in Experiment 2. حسب Jiamin Hu (8972420)

"…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …"

The control results in Experiment 3. حسب Jiamin Hu (8972420)

"…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …"

Ackermann steering model. حسب Zhigang Zhou (2371921)

"…With the objectives of dynamically minimizing wheel slip ratio and maintaining driving stability, the non-dominated sorting genetic algorithm-II (NSGA-II) is employed to optimally distribute the total driving torque. …"