Machine Learning
you can download these datasets from OpenML: https://www.openml.org/search?type=data&status=active&tags.tag=2019_mult...
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you can download these datasets from OpenML: https://www.openml.org/search?type=data&status=active&tags.tag=2019_mult...
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Liver cancer treatment, especially for metastatic cases, poses significant challenges in accurately targeting tumours while sparing healthy tissue. Radioembolisation with yttrium-90 (Y-90) microspheres is a promising technique, but precise imaging of microsphere distribution is crucial. This study utilises T-PEPT, a novel Positron Emission Particle Tracking (PEPT) algorithm that combines topological data analysis with machine learning to identify Y-90 microsphere clusters in a digital twin of a patient's liver.
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This dataset webpage contains datasets of exisiting and proposed models:
- centrifugalpump1.zip
- centrifugalpump2.zip
- centrifugalpump3.zip
B Model of Fault And Short-Circuit Analysis of Centrifugal Pump
presented in my last Speaker Presentation in Conference - 2025*.
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The Unified Multimodal Network Intrusion Detection System (UM-NIDS) dataset is a comprehensive, standardized dataset that integrates network flow data, packet payload information, and contextual features, making it highly suitable for machine learning-based intrusion detection models. This dataset addresses key limitations in existing NIDS datasets, such as inconsistent feature sets and the lack of payload or time-window-based contextual features.
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We collected programming problems and their solutions from previous studies. After applying some pre-processing steps, we queried advanced LLMs, such as GPT4, with the collected problems to produce machine-generated codes, while the original solutions were labeled as human-written codes. Finally, the entire collected dataset was divided into training, validation, and test sets, ensuring that there is no overlap among these sets, meaning no solutions in two different sets that solve the same programming problem.
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