Comparison Experiment with deep learning methods. by Anqi Chen (1950547)

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Ensemble deep learning classifiers results. by Abdullah Sheneamer (19169236)

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<b>ODS2 - Dataset of smear microscopy images labelled to evaluate algorithms for bacilli detection</b> by Marly G F Costa (19812192)

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

Data supporting figures and tables in Reimagining Electrical Diagrams in Construction: Automated Symbol Detection and Wiring Design and Generation with Deep Learning by IKENNA EKEKE (20996041)

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Performance Analysis of Super-resolution Algorithms. by Persiya J. (21743388)

Effects of processing rate and algorithms performance on estimates of biodiversity. by Valentine Fleuré (12822137)

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ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)

Performance Metrics Comparison for Various Detection Algorithms. by Persiya J. (21743388)

Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Facial Expression Image Dataset for Computer Vision Algorithms by Ali Alameer (12549592)

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Video 1_Learning-based control for tendon-driven continuum robotic arms.mp4 by Nima Maghooli (21710783)

Subjects: “…Artificial Intelligence and Image Processing…”

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

COVID-CT-Rate.zip by Nastaran Enshaei (11943785)

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Research progress on anomaly target detection algorithms for hyperspectral imagery by Baozhi Cheng (22754994)

“…In particular, because anomaly target detection does not require any prior information, it has become one of the key technologies and research hotspots in HSI processing and information extraction. Through systematic sorting and analysis, this paper summarizes the existing anomaly target detection algorithms in detail, and evaluates the key issues involved in HSI-ATD, future technological development directions (such as deep learning, multimodal, and real-time processing, etc), as well as the problems existing in the algorithms. …”

Data supporting figures and tables in Attention-Based Framework for Automated Symbol Recognition and Wiring Design in Electrical Diagrams by IKENNA CLEMENT EKEKE (20995226)

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Flowchart of the GAN–BWGNN HAD algorithm. by Ruhan A (12403982)

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FIS image analysis using the semi-automatic algorithm. by Anna Demchenko (18449439)

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