Machine Learning
This dataset consists of MRI images of brain tumors, specifically curated for tasks such as brain tumor classification and detection. The dataset includes a variety of tumor types, including gliomas, meningiomas, and glioblastomas, enabling multi-class classification. Each MRI scan is labeled with the corresponding tumor type, providing a comprehensive resource for developing and evaluating machine learning models for medical image analysis. The data can be used to train deep learning algorithms for brain tumor detection, aiding in early diagnosis and treatment planning.
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To download this dataset without purchasing an IEEE Dataport subscription, please visit: https://zenodo.org/records/13896353
Please cite the following paper when using this dataset:
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1066 Views
you can download these datasets from OpenML: https://www.openml.org/search?type=data&status=active&tags.tag=2019_mult...
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131 Viewsyou 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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162 Views
This dataset webpage contains datasets of exisiting and proposed models:
- 12cell.zip
- 16cell.zip
- 36cell.zip
- Proposed_
Presented in my 2nd (may be last) keynote Speaker Presentation in Conference - 2025*.
Novel Perspective of Contemplating Existing Principles of Scientific Truth : Novel B-Unified Theory, Postulates, Propositions And Models With Applications in Impedance, Transformers, Inverters, Generators, Pumps, Solar, Machinery, Turbines, SMPS and Short Circuit Analysis
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561 Views
This dataset webpage contains datasets of existing and proposed models
- 4cell.zip
- 6cell.zip
- 8cell.zip
Presented in my 3rd Speaker Presentation in Conference - 2025*.
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314 Views
This dataset webpage contains datasets of exisiting and proposed models:
- tubular.zip
- tubular2.zip
- tubular3.zip
B Model of Fault And Short-Circuit Analysis of Synchronous Generator
presented in my 3rd Probably last Speaker Presentation in Conference - 2025*.
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418 Views
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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446 Views
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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2581 Views