Results 21 to 30 of about 50,437 (269)
Challenges in KNN Classification [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2022 The KNN algorithm is one of the most popular data mining algorithms. It has been widely and successfully applied to data analysis applications across a variety of research topics in computer science. This paper illustrates that, despite its success, there remain many challenges in KNN classification, including K computation, nearest neighbor selection,
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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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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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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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Ilkom Jurnal Ilmiah, 2023 Nowadays, information technology especially machine learning has been used to evaluate the feasibility of debtors. One of the challenges in this classification model is the occurrence of imbalanced datasets, especially in the German Credit Dataset ...
Edi Priyanto +3 more
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Deep Residual Network for High-Resolution Background Matting [PDF]
Revista Română de Informatică și Automatică, 2021 Image matting is one of the most important tasks in the computer vision community whose popularity has increased in recent years. This is a highly critical method in video and image editing applications, which involves the separation of the foreground ...
Said EL ABDELLAOUI, Ilham KACHBAL
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Jambura Journal of Mathematics, 2023 The classification of a country's economic status as developed or developing often involves factors such as life expectancy and its underlying variables.
N. K. Kutha Ardana +6 more
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Investigating Discharge Coefficient of Slide Gate-Sill Combination Using Expert Soft Computing Models [PDF]
Journal of Hydraulic Structures, 2023 The use of gate-sill combinations in recent years has been one of the new methods in increasing the hydraulic performance of gates, including the discharge coefficient (Cd).
Yousef Hassanzadeh, Hamidreza Abbaszadeh
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