Outline of OSCNN. by Reyhane Ahmadi (14857363)

“…To enhance signal integrity, we employ high-quality optical components, error correction algorithms, adaptive optics, and noise-resistant coding schemes. …”

OSCNN accuracy with different feature extractors. by Reyhane Ahmadi (14857363)

“…To enhance signal integrity, we employ high-quality optical components, error correction algorithms, adaptive optics, and noise-resistant coding schemes. …”

Effect of post-processing model outputs on biodiversity estimates. by Valentine Fleuré (12822137)

Uncertainty-Aware Deep Learning and Structural Feature Analysis for Reliable Nephrotoxicity Prediction by Jian-Wang Liu (22085230)

“…Using this dataset, we developed classification models employing both traditional machine learning algorithms and graph-based deep learning methods. …”

Evaluation of the model. by Aimilia-Christina Vagiona (17584758)

Number of hashtags with frequency thresholds. by Jinbao Song (18601705)

“…Meanwhile, this paper also introduces the RoMLP-AttNet model, which significantly improves the classification recall and precision in the Weibo event classification task by using the topic posting sequences as the background data for assisting event detection. …”

Key fields and meanings of Weibo. by Jinbao Song (18601705)

“…Meanwhile, this paper also introduces the RoMLP-AttNet model, which significantly improves the classification recall and precision in the Weibo event classification task by using the topic posting sequences as the background data for assisting event detection. …”

Research framework. by Jinbao Song (18601705)

“…Meanwhile, this paper also introduces the RoMLP-AttNet model, which significantly improves the classification recall and precision in the Weibo event classification task by using the topic posting sequences as the background data for assisting event detection. …”

The story tree. by Jinbao Song (18601705)

“…Meanwhile, this paper also introduces the RoMLP-AttNet model, which significantly improves the classification recall and precision in the Weibo event classification task by using the topic posting sequences as the background data for assisting event detection. …”

Storyline nodes. by Jinbao Song (18601705)

“…Meanwhile, this paper also introduces the RoMLP-AttNet model, which significantly improves the classification recall and precision in the Weibo event classification task by using the topic posting sequences as the background data for assisting event detection. …”

Graph of number of Weibo posts versus date. by Jinbao Song (18601705)

“…Meanwhile, this paper also introduces the RoMLP-AttNet model, which significantly improves the classification recall and precision in the Weibo event classification task by using the topic posting sequences as the background data for assisting event detection. …”

Relevant conceptual relationship diagrams. by Jinbao Song (18601705)

“…Meanwhile, this paper also introduces the RoMLP-AttNet model, which significantly improves the classification recall and precision in the Weibo event classification task by using the topic posting sequences as the background data for assisting event detection. …”

RoMLP-AttNet modelling framework. by Jinbao Song (18601705)

“…Meanwhile, this paper also introduces the RoMLP-AttNet model, which significantly improves the classification recall and precision in the Weibo event classification task by using the topic posting sequences as the background data for assisting event detection. …”

Change in loss ratio with rounds. by Jinbao Song (18601705)

“…Meanwhile, this paper also introduces the RoMLP-AttNet model, which significantly improves the classification recall and precision in the Weibo event classification task by using the topic posting sequences as the background data for assisting event detection. …”

Hashtag post number over time. by Jinbao Song (18601705)

“…Meanwhile, this paper also introduces the RoMLP-AttNet model, which significantly improves the classification recall and precision in the Weibo event classification task by using the topic posting sequences as the background data for assisting event detection. …”

Hashtag number varies with density thresholds. by Jinbao Song (18601705)

“…Meanwhile, this paper also introduces the RoMLP-AttNet model, which significantly improves the classification recall and precision in the Weibo event classification task by using the topic posting sequences as the background data for assisting event detection. …”

Schematic of the optimized EDLNet for pneumonia prediction. by Shuvo Biswas (21728782)

Distribution of students by dmft/DMFT index. by Susana Lavado (20614221)

“…Logistic regression models with variables selected through low-variance filtering and recursive feature elimination outperformed various others trained with complex machine learning algorithms based on precision@k metric, outperforming also random selection and expert rule-based models in identifying students with poor oral health. …”

Screening of high-efficiency chloroplast-targeting peptides. by Chonprakun Thagun (12120578)

Conv4_Fus scale fusion module. by Mengmeng Pan (6475064)

“…Compared with the existing classical target detection algorithms, EFA-SSD has the highest mean average precision (mAP) in detecting four types of subsurface diseases, which provides a new idea for subsurface disease detection and contributes to the protection of aviation safety.…”