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

“…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”

Reward function related parameters. by Honglei Pang (22693724)

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Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. by Gabriel Matías Lorenz (21094672)

Workflow from data acquisition to automated diagnostics. by Bernhard Vennemann (7434353)

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Valve during diastole with inserts creating an artificial leak. by Bernhard Vennemann (7434353)

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Test section including model of the aortic root with BHV and a flow sensor at the ascending aorta. by Bernhard Vennemann (7434353)

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Sinusoidal fit to the measurement data. by Bernhard Vennemann (7434353)

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The phases of automated BHV monitoring. by Bernhard Vennemann (7434353)

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Baseline one-class SVM model. by Bernhard Vennemann (7434353)

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Bar plots of MCI for different AR scenarios. by Bernhard Vennemann (7434353)

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Steps of data preprocessing. by Bernhard Vennemann (7434353)

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Mild AR scenario measurement overlaid onto the baseline model. by Bernhard Vennemann (7434353)

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Overview of algorithm. by Takayuki Niizato (162226)

Machine learning algorithm parameters. by Namal Rathnayake (15361124)

“…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …”

Parameter variations on motion deblurring with kernel size 19. by Ting Lv (455878)

An example motion activated camera installed at a trail bridge in Rwanda in support of this study (co-author Gerster pictured). by Evan Thomas (532706)

Schematic result of RRT algorithm. by Naeem Ul Islam (19837966)

“…<div><p>One of the key challenges in robotics is the motion planning problem. This paper presents a local trajectory planning and obstacle avoidance strategy based on a novel sampling-based path-finding algorithm designed for autonomous vehicles navigating complex environments. …”

The RRT algorithm’s software architecture. by Naeem Ul Islam (19837966)

“…<div><p>One of the key challenges in robotics is the motion planning problem. This paper presents a local trajectory planning and obstacle avoidance strategy based on a novel sampling-based path-finding algorithm designed for autonomous vehicles navigating complex environments. …”

Motion model. by Tuan Anh Nguyen (121944)

Novel intelligent MPP tracker and sliding mode control for decentralized street lighting systems using photovoltaic energy by Hussain Attia (20654044)

“…Unlike traditional decentralised street lighting solutions, which focus mainly on LED dimming based on motion detection or basic MPPT algorithms, this paper proposes a hybrid approach that integrates an intelligent ANN-based MPPT battery charger with a robust SMC for load driving. …”