Results 111 to 120 of about 15,619 (146)

Systematic Review of Retinal Blood Vessels Segmentation Based on AI-driven Technique. [PDF]

J Imaging Inform Med
Verma PK, Kaur J.
europepmc   +1 more source

AOP-networkFinder-a versatile tool for the reconstruction and visualization of Adverse Outcome Pathway networks from AOP-Wiki. [PDF]

Bioinform Adv
Yarar N, Martens M, Rognes T, Lavender J, Dirven H, Audouze K, Wojewodzic MW.   +6 more
europepmc   +1 more source

Using country-level variables to discover country clusters beyond traditional health policy and performance metrics: An unsupervised machine learning approach for HIV healthcare delivery and financing. [PDF]

PLOS Glob Public Health
Alexiou ZW, Dixit S, Ogbuoji O, Kohler S, Atun R, Terris-Prestholt F, Semini I, Bulstra CA, Bärnighausen T.   +8 more
europepmc   +1 more source

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Classification of pyrolysis mass spectra by fuzzy multivariate rule induction-comparison with regression, K-nearest neighbour, neural and decision-tree methods

Analytica Chimica Acta, 1997
The fuzzy multivariate rule building export system (FuRES) is applied to solve classification problems using two pyrolysis mass spectral data sets. The first data set contains three types of milk (from cow, goat and ewe) and the second data set contains two types of olive oils (adulterated and extra virgin).
B.K. Alsberg, R. Goodacre, J.J. Rowland, D.B. Kell   +3 more
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DETEKSI PENYAKIT TANAMAN RAMBUTAN BERDASARKAN CITRA DAUN MENGGUNAKAN FUZZY K-NEAREST NEIGHBOUR

MUSTEK ANIM HA, 2021
Buah rambutan merupakan salah satu tanaman buah lokal Kabupaten Merauke. Tanaman buah ini dihasilkan di beberapa daerah antara lain daerah Muting, Ulilin, dan Bupul. Hasil produksi tanaman buah rambutan ini diekspor ke beberapa daerah di sekitar kota Merauke seperti Kabupaten Boven Digoel, Kabupaten Mappi, Kabupaten Asmat.
Johana Anike Mendes, Tri Kustanti Rahayu
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A fast fuzzy K-nearest neighbour algorithm for pattern classification

Intelligent Data Analysis, 2000
A fast procedure for classifying a given test pattern to one of its possible classes using both the K-NN decision rule and concepts of the fuzzy set theory is described in this paper. The method is divided into two steps; in the first step the K nearest neighbours are found using a fast procedure, whereas in the second step the test pattern is ...
Boutalis, Yiannis S., Andreadis, Ioannis T., Tambakis, George D.   +2 more
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Increasing the speed of fuzzy k‐nearest neighbours algorithm

Expert Systems, 2017
AbstractFuzzy k‐nearest neighbour (FKNN) is one of the most convenient classification approaches. The main challenge of this method is associated with finding the optimal values of its two hyperparameters. The present study attempts to decrease the running time of this approach by reducing the number of its hyperparameters through omitting the ...
Hamed Nikdel, Yahya Forghani, S. Mohammad Hosein Moattar   +2 more
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Modified K-Nearest Neighbour Using Proposed Similarity Fuzzy Measure for Missing Data Imputation on Medical Datasets (MKNNMBI)

International Journal of Fuzzy System Applications, 2022
Early disease diagnosis is a burning problem in health sector, medical domain and disease management. During analysis, quality of the data can be achieved only if the data is complete. Missing values reduces the efficiency of data analysis task. Researchers proposed various imputation methods but always there was a need for a better imputation method ...
B. Mathura Bai, null Mangathayaru N., null Padmaja Rani B.   +2 more
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Fuzzy clustering based on -nearest-neighbours rule

Fuzzy Sets and Systems, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zahid, N., Abouelala, O., Limouri, M., Essaid, A.   +3 more
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Fuzzy K-Nearest Neighbour (FkNN) Based Early Stage Fire Source Classification in Building

2018 IEEE Conference on Systems, Process and Control (ICSPC), 2018
Assessing the smell of burning is vital, as it can help to further detect and prevent early fire. In this paper, an early stage fire detection algorithm has been introduced using Fuzzy k- Nearest Neighbour (FkNN). The tests were made on normally available seven fire sources and three building structure resources. All the test samples were scorched in a
A. M. Andrew, A. Y. M. Shakaff, A. Zakaria, R. Gunasagaran, E. Kanagaraj, S. M. Saad   +5 more
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