Results 1 to 10 of about 56,188 (203)
Weighted Multiclass Intrusion Detection System [PDF]
ITM Web of Conferences, 2023 Attackers are continuously coming up with new attack strategies since cyber security is a field that is continually changing. As a result, it’s important to update and enhance the system frequently to ensure its efficiency against fresh threats ...
Dange Varsha +5 more
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Classification of Chronic Kidney Disease Patients via k-important Neighbors in High Dimensional Metabolomics Dataset [PDF]
Journal of Kerman University of Medical Sciences, 2019 Background: Chronic kidney disease (CKD), characterized by progressive loss of renal function, is becoming a growing problem in the general population. New analytical technologies such as “omics”-based approaches, including metabolomics, provide a useful
Hadi Raeisi shahraki +2 more
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KNN-Based Algorithm of Hard Case Detection in Datasets for Classification
Proceedings of the International Conference on Applied Innovations in IT, 2023 The machine learning models for classification are designed to find the best way to separate two or more classes. In case of class overlapping, there is no possible way to clearly separate such data.
Anton Okhrimenko, Nataliia Kussul
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Comparative Analysis of GMM, KNN, and ViBe Background Subtraction Algorithms Applied in Dynamic Background Scenes of Video Surveillance System [PDF]
Engineering and Technology Journal, 2022 Background subtraction is the most prominent technique applied in the domain of detecting moving objects. However, there is a wide range of different background subtraction models.
Maryam Yasir, Yossra Ali
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Prediction Vulnerability Level of Dengue Fever Using KNN and Random Forest
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020 Indonesia is a country that is prone to Dengue Fever, this happens because Indonesia is a country with a tropical climate. More than 50 years after Indonesia contracted the dengue virus, dengue fever cases have not been resolved, currently the cases that
Abduh Salam +2 more
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Klasifikasi Kualitas Pisang Ambon Menggunakan Metode K-Nearest Neighbor
Jurnal Sarjana Teknik Informatika, 2022 Pisang merupakan jenis buah-buahan yang banyak ditemukan di Indonesia. Pengklasifikasian kematangan buah pisang menggunakan cara nondestruktif dilakukandengan melihat warna dan tekstur kulit pisang yang merupakan komponen eksternal dari buah pisang tanpa
Gading Surya Lesmana, Murinto Kusno
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Jurnal Teknologi dan Sistem Komputer, 2020 Keberadaan outlier pada dataset dapat menyebabkan rendahnya hasil akurasi pada proses klasifikasi. Outlier pada dataset dapat dihilangkan pada tahapan prapemrosesan algoritme klasifikasi.
Sugriyono Sugriyono, Maria Ulfah Siregar
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Automation Mangrove Identification with Case Based Reasoning Process
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems), 2022 Mangroves are ecosystems with unique functions in the environment. Because of its physical properties, mangroves are able to play a role as a wave retardant as well as retaining intrusion and abrasion of the sea.
Arie Vatresia +3 more
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The multi-objective optimization of tunneling boring machine control based on geological conditions identification [PDF]
Journal of Intelligent Manufacturing and Special Equipment, 2020 Purpose – The purpose of this paper aims to design an optimization control for tunnel boring machine (TBM) based on geological identification. For unknown geological condition, the authors need to identify them before further optimization.
Hongyuan Wang, Jingcheng Wang
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Feature Extraction using CNN for Peripheral Blood Cells Recognition [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2022 INTRODUCTION: The diagnosis of hematological diseases is based on the morphological differentiation of the peripheral blood cell types.OBJECTIVES: In this work, a hybrid model based on CNN features extraction and machine learning classifiers were ...
Mohammed Ammar +3 more
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