Machine Learning

you can download these datasets from OpenML: https://www.openml.org/search?type=data&status=active&tags.tag=2019_multioutput_paper. 

EDM: The Electrical Discharge Machining dataset (Karalic and Bratko 1997) represents a two-target regression problem. The task is to shorten the machining time by reproducing the behaviour of a human operator that controls the values of two variables. Each of the target variables takes 3 distinct numeric values ( -1,0,1 ) and there are 16 continuous input variables.

you can download these datasets from OpenML: https://www.openml.org/search?type=data&status=active&tags.tag=2019_multioutput_paper. 

EDM: The Electrical Discharge Machining dataset (Karalic and Bratko 1997) represents a two-target regression problem. The task is to shorten the machining time by reproducing the behaviour of a human operator that controls the values of two variables. Each of the target variables takes 3 distinct numeric values ( -1,0,1 ) and there are 16 continuous input variables.

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.

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

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*.

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*.  

This dataset webpage contains datasets of exisiting and proposed models:

1. centrifugalpump1.zip
2. centrifugalpump2.zip
3. centrifugalpump3.zip

   B Model of Fault And Short-Circuit Analysis of Centrifugal Pump

presented in my  last Speaker Presentation in Conference -  2025*.

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.

This dataset webpage contains datasets and models 

• inductionmotor1.zip
• inductionmotor2.zip
• inductionmotor3.zip
• pmsm1.zip
• pmsm2.zip
• pmsm3.zip
• BLDC1.zip
• BLDC1.zip

  presented in my 3rd last Speaker Presentation in Conference -  2025*.

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.