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Generative Adversarial Networks and Data Clustering for Likable Drone Design [PDF]
Sensors, 2022 Novel applications for human-drone interaction demand new design approaches, such as social drones that need to be perceived as likable by users. However, given the complexity of the likability perception process, gathering such design information from ...
Lee J. Yamin, Jessica R. Cauchard
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Urban Road Surface Discrimination by Tire-Road Noise Analysis and Data Clustering [PDF]
Sensors, 2022 The surface condition of roadways has direct consequences on a wide range of processes related to the transportation technology, quality of road facilities, road safety, and traffic noise emissions.
Carlos Ramos-Romero +3 more
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ACM Computing Surveys, 1999 Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disciplines; this reflects its broad appeal and usefulness as one of the steps in exploratory data analysis.
Anil Jain, M N Murty
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Data Clustering Using Moth-Flame Optimization Algorithm [PDF]
Sensors, 2021 A k-means algorithm is a method for clustering that has already gained a wide range of acceptability. However, its performance extremely depends on the opening cluster centers.
Tribhuvan Singh +5 more
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Evaluating Clustering Algorithms: An Analysis using the EDAS Method [PDF]
E3S Web of Conferences, 2023 Data clustering is frequently utilized in the early stages of analyzing big data. It enables the examination of massive datasets encompassing diverse types of data, with the aim of revealing undiscovered correlations, concealed patterns, and other ...
Siva Shankar S. +3 more
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Известия высших учебных заведений России: Радиоэлектроника, 2021 Introduction. Requirements for the quality of information about the trajectory of moving objects provided by sensor networks are increasingly becoming more stringent.
Nguyen Phung Bao, Quang Hieu Dang
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Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2023 Renewable energy sources (RES) are seen as a means of the fuel and energy complex carbon footprint reduction but the stochastic nature of generation complicates RES integration with electric power systems.
P. V. Matrenin +6 more
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Investigation the motion data clustering of lung tumor on its position estimation at external surrogates’ radiotherapy [PDF]
مجله مدل سازی در مهندسی, 2022 Among thorax tumors, lung tumors move mainly due to respiration. In order to enhance the precision of radiotherapy, one solution is estimating tumor motion from external motion of chest wall and abdomen regions. For this aim, consistent prediction models
Ahmad Esmaili Torshabi
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Lithofacies Identification from Wire-Line Logs Using an Unsupervised Data Clustering Algorithm
Energies, 2023 Stratigraphic identification from wire-line logs and core samples is a common method for lithology classification. This traditional approach is considered superior, despite its significant financial cost.
Md Monjur Ul Hasan +5 more
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Improved Deep Embedding Clustering with Ensemble Learning
Jisuanji kexue yu tansuo, 2021 Recently the rapid development of the deep learning technique has provided a powerful tool for the clustering research, and has given rise to quite a number of deep neural network-based clustering methods.
HUANG Yuxiang, HUANG Dong, WANG Changdong, LAI Jianhuang
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