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A data-driven binary-classification framework for oil fingerprinting analysis
A marine oil spill is one of the most challenging environmental issues, resulting in severe
long-term impacts on ecosystems and human society. Oil dispersants are widely applied as …
long-term impacts on ecosystems and human society. Oil dispersants are widely applied as …
Feature selection with artificial bee colony algorithms for classifying Parkinson's diseases
Parkinson's is a brain disease that affects the quality of human life significantly with very
slow progresses. It is known that early diagnosis is of great importance to arrange relevant …
slow progresses. It is known that early diagnosis is of great importance to arrange relevant …
A New Metaheuristic Approach to Diagnosis of Parkinson's Disease Through Audio Signals
O Oguz, H Badem - Elektronika ir Elektrotechnika, 2024 - eejournal.ktu.lt
Parkinson's disease is accepted as one of the most important diseases in the world.
Parkinson's disease can be diagnosed in various conventional techniques. Recently, these …
Parkinson's disease can be diagnosed in various conventional techniques. Recently, these …
Distance correlation sure independence screening for accelerated feature selection in parkinson's disease vocal data
D Schellhas, B Neupane, D Thammineni… - 2020 International …, 2020 - ieeexplore.ieee.org
With the abundance of machine learning methods and the temptation of using them all in an
ensemble, having model-agnostic feature selection is incredibly alluring. Principal …
ensemble, having model-agnostic feature selection is incredibly alluring. Principal …
Yapay Ari Kolonisi Algoritmasi ile Özellik Seçimi
Z Kıran - 2023 - gcris.ktun.edu.tr
Veri madenciliği ve makine öğrenmesi alanında özellik seçimi boyut indirgemek amacıyla
yapılmaktadır. Bu sayede makine öğrenmesi yöntemleri ile işlenen veriler üzerinde hem …
yapılmaktadır. Bu sayede makine öğrenmesi yöntemleri ile işlenen veriler üzerinde hem …
An Efficient Swarm based Feature Selection Technique using Random Weight Neural Network
M Manshah, RA Raza, S Ajmal, U Pasha… - … OF NANOSCOPE (JN), 2021 - jn.wum.edu.pk
Feature selection (FS) is one of the most important pre-processing tasks in machine learning
(ML) and data mining, that selects optimum features by eliminating noisy and irrelevant …
(ML) and data mining, that selects optimum features by eliminating noisy and irrelevant …
[PDF][PDF] Feature selection with artificial bee colony algorithms for classifying Parkinson's Diseases
ME Aydin - uwe-repository.worktribe.com
Machine learning based approaches for classification of oil spills and microplastics in marine environments
Y Chen - 2021 - research.library.mun.ca
Environmental modelling is an important approach of environmental engineering and
management since it helps gain better understanding of environmental problems and …
management since it helps gain better understanding of environmental problems and …