Firefly optimization algorithm flowchart. by Zhengyu Xu (8550660)

Subjects:

Optimization process of adaptive weight adjustment based on the SCSO. by Fengning Liang (20927493)

Performance of machine learning algorithms. by Wenxue Liu (6877754)

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

1d-MSCNN + GRU model process. by Jianpeng Zhang (528185)

Subjects:

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

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

Comparison of hidden state prediction based on the Viterbi algorithm. by Heng Yang (590400)

The true value of the hidden state based on Viterbi algorithm. by Heng Yang (590400)

The predicted value of the hidden state based on Viterbi algorithm. by Heng Yang (590400)

The training process of each classification model. by Dinghong Mu (14204200)

Flow chart of edge folding algorithm. by Cuiying Zhou (10048078)

Comparison of different processing methods. by Jinyu Wang (381467)

“…To address these problems, we propose a new, efficient real-time SLR data processing method. This algorithm combines single-stage filtering with a histogram-based approach and incorporates polynomial fitting to establish a predictive model. …”

User satisfaction scores for different algorithms. by Qingnan Ji (22662198)

Subjects:

The CGO risk prediction process based on data augmentation and neuroevolution. by Wenbing Shi (5806160)

<b>DDS3 - Dataset of mosaic sputum smear microscopy images for evaluation of bacillus detection algorithms</b> by Marly G F Costa (19812192)

The schematic diagram of fault diagnosis process. by Jialiang Zhang (1574704)

The ecological processes in study. by Weifeng Gui (20861864)

Obtained heat map for regression-based algorithms. by Akshansh Mishra (21001499)

Subjects:

Data process. by Maeva El Bouchikhi (20442436)

“…They highlighted an important number of ethical issues which could be grouped into five overarching categories: goal relevance, adverse side effects, role of employees, data process, and vagueness. Their inputs were remarkably coherent with the issues highlighted in the academic literature. …”