Compare different datasets using the same algorithm. by Qingtao Zeng (6270308)

The accuracy of all employed learning algorithms. by Quan Shao (20148209)

Flowchart of PRGA algorithm. by Yicheng Liu (2179626)

“…A case study of a bidirectional disruption during the 08:00–10:00 on the section of Xi’an Metro Line 2 demonstrates that: (1) The proposed model exhibits stronger robustness under demand uncertainty, achieving a reduction of 3 dispatched vehicles and a cost saving of 9,439 RMB by moderately increasing passenger costs by 850 RMB and extending bridging time; (2) The RPGA algorithm outperforms Non-dominated Sorting Genetic Algorithm II (NSGA-II), Reinforcement Learning-based NSGA-II (RLNSGA-II), and Multi-objective Particle Swarm Optimization Algorithm (MOPSO) in hypervolume (HV), generational distance (GD), and non-dominated ratio (NDR); (3) Increasing the rated passenger capacity within a certain range can reduce average passenger delays but correspondingly raises transportation costs. …”

Data Sheet 1_Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms.pdf by Norhan Khallaf (20710673)

(a) Prediction using traditional algorithm. (b) Prediction using optimization algorithm. by Dandan Wang (286632)

Schematic diagram of multi-round interaction. by Ting Xie (191025)

Data Sheet 1_Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive.pdf by Elena Pastorelli (7024235)

Point cloud data registration using the original ICP algorithm. by Mengyuan Yan (14200322)

Research on Vehicle Detection Algorithms Based on Deep Learning in Complex Environments by Xiaodan Li (22309438)

Registered and fused point cloud data using improved ICP algorithm. by Mengyuan Yan (14200322)

Classification results of multi-omics data integration using conventional machine learning methods. by Zilu Li (1477513)

Efficiency of imputation algorithms. by Yongqi Bu (20477564)

Depiction of how predictions are made from the output embeddings. The largest encoded multi-scale feature map is resized and combined with the original multi-scale features to form... by Owen M. O’Connor (11965460)

The encoder employs deformable self-attention to transform multi-scale features into encoded multi-scale features. Query selection is used to derive the object queries from these e... by Owen M. O’Connor (11965460)

Heatmap illustrating which multi-scale feature pixels were classified as “cell” by query selection. This data was collected by processing the full test set for the DeepCell dataset... by Owen M. O’Connor (11965460)

Optimal hyperparameters of the model-agnostic meta-learning algorithm with few-shot tasks. by Soraya Khanmohmmadi (21539953)

QRS detection in ECG signal using pan-tompkins algorithm with R-peak detection. by Rida Nayyab (21519512)

Descriptive analysis of the outcomes by the optimized LSTM using several optimization algorithms. by Ahmed M. Elshewey (21463867)

Subjects:

The Workflow of Federated Harmony. by Ruizhi Yuan (16864629)

Results of multi-objective optimization. by Juan Ren (733592)