Distraction descriptor for brainprint authentication modelling using probability-based Incremental Fuzzy-Rough Nearest Neighbour [PDF]
Brain Informatics, 2023 This paper aims to design distraction descriptor, elicited through the object variation, to refine the granular knowledge incrementally, using the proposed probability-based incremental update strategy in Incremental Fuzzy-Rough Nearest Neighbour ...
Siaw-Hong Liew +3 more
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A LITERATURE SURVEY ON VARIOUS ILLUMINATION NORMALIZATION TECHNIQUES FOR FACE RECOGNITION WITH FUZZY K NEAREST NEIGHBOUR CLASSIFIER [PDF]
ICTACT Journal on Image and Video Processing, 2015 The face recognition is popular in video surveillance, social networks and criminal identifications nowadays. The performance of face recognition would be affected by variations in illumination, pose, aging and partial occlusion of face by Wearing Hats ...
A. Thamizharasi, J.S. Jayasudha
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Non‐negative matrix factorisation based on fuzzy K nearest neighbour graph and its applications
IET Computer Vision, 2013 Non‐negative matrix factorisation (NMF) has been widely used in pattern recognition problems. For the tasks of classification, however, most of the existing variants of NMF ignore both the discriminative information and the local geometry of data into ...
Jun Ye, Zhong Jin
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Flood River Water Level Forecasting using Ensemble Machine Learning for Early Warning Systems [PDF]
, 2022 Flood forecasting is crucial for early warning system and disaster risk reduction. Yet the flood river water levels are difficult and challenging task that it cannot be easily captured with classical time-series approaches.
Abdullah, Shahrum Shah +2 more
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Software restructuring models for object oriented programming languages using the fuzzy based clustering algorithm [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2021 Advances in the domain of software-based technology pave the way for widespread use of object-oriented programs. There is a need to develop a well-established software system that will reduce maintenance costs and enhance the usability of the component ...
Sarika Bobde, Rashmi Phalnikar
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Journal of ICT, 2021 Diabetes classification is one of the most crucial applications of healthcare diagnosis. Even though various studies have been conducted in this application, the classification problem remains challenging.
Hayder Naser Khraibet Al-Behadili +1 more
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Alexandria Engineering Journal, 2022 The indoor localisation based on indoor magnetic field (MF) has drawn much research attention since they have a range of applications field in science and industry.
Caceja Elyca Anak Bundak +3 more
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Comparison of artificial intelligence methods for predicting compressive strength of concrete
Građevinar, 2021 Compressive strength of concrete is an important parameter in concrete design. Accurate prediction of compressive strength of concrete can lower costs and save time.
Mehmet Timur Cihan
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A Fuzzy K-Nearest Neighbour-based Model for detecting Lameness in Cattle
FUOYE Journal of Engineering and Technology, 2023 In Africa, cattle are reared for meat and milk production and lameness is considered a major problem in modern dairy farming. Several studies have attempted to explicate automatic lameness detection systems using different techniques. However, these detection techniques are easily impacted by the physiological attributes of individual cows, ensuing in ...
Oyeyemi T. Oyewole, Opeyemi O. Adanigbo
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Contactless Biometric Based on Palm Vein Recognition Using Wavelet and Local Line Binary Patterns
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 To support the roadmap for coexistence with Covid-19, contactless biometrics is needed as an individual identity verification technology in daily activities such as control systems, recording attendance at offices/schools/agencies and access rights to a ...
Jayanti Yusmah Sari, Suharsono Bantun
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