Results 11 to 20 of about 176,187 (274)
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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knn-seq: Efficient, Extensible kNN-MT Framework
, 2023 k-nearest-neighbor machine translation (kNN-MT) boosts the translation quality of a pre-trained neural machine translation (NMT) model by utilizing translation examples during decoding. Translation examples are stored in a vector database, called a datastore, which contains one entry for each target token from the parallel data it is made from.
Deguchi, Hiroyuki +5 more
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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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Minimum-Norm Adversarial Examples on KNN and KNN based Models [PDF]
2020 IEEE Security and Privacy Workshops (SPW), 2020 3rd Deep Learning and Security Workshop (co-located with the 41st IEEE Symposium on Security and Privacy)
Sitawarin, Chawin, Wagner, David
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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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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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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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Improved AURA k-Nearest Neighbour approach [PDF]
, 2003 The k-Nearest Neighbour (kNN) approach is a widely-used technique for pattern classification. Ranked distance measurements to a known sample set determine the classification of unknown samples. Though effective, kNN, like most classification methods does
Austin, J. +4 more
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Early Explorations using KNN to Classify Emotions in Virtual Reality based on Heart Rate (HR) and Electrodermography (EDG) [PDF]
ITM Web of ConferencesTo detect multimodal emotions using Virtual Reality (VR), this research demonstrates the findings and results of using a KNN Classifier by merging Heart Rate and Electrodermography signals. The participants in the study were shown 360-degree videos using
Bulagang Aaron Frederick +2 more
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