Results 21 to 30 of about 23,530,343 (331)
IEEE Access, 2020 A recently modern stochastic optimization algorithm has been developed by observing the life of slime mold physarum polycephalum in nature. The algorithm is called the slime mold algorithm (SMA) with an excellent exploratory capacity and exploitation ...
Trong-The Nguyen +5 more
doaj +1 more source
HMD-Net: A Vehicle Hazmat Marker Detection Benchmark
Entropy, 2022 Vehicles carrying hazardous material (hazmat) are severe threats to the safety of highway transportation, and a model that can automatically recognize hazmat markers installed or attached on vehicles is essential for intelligent management systems ...
Lei Jia +5 more
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Deep Learning for Spatio-Temporal Data Mining: A Survey [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2019 With the fast development of various positioning techniques such as Global Position System (GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly available nowadays.
Senzhang Wang +2 more
semanticscholar +1 more source
COD Optimization Prediction Model Based on CAWOA-ELM in Water Ecological Environment
Journal of Chemistry, 2021 The change of water quality can reflect the important indicators of ecological environment measurement. Sewage discharge is an important factor causing environmental pollution.
Lili Jiang +10 more
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Fine Classification of UAV Urban Nighttime Light Images Based on Object-Oriented Approach
Sensors, 2023 Fine classification of urban nighttime lighting is a key prerequisite step for small-scale nighttime urban research. In order to fill the gap of high-resolution urban nighttime light image classification and recognition research, this paper is based on a
Daoquan Zhang +3 more
doaj +1 more source
A case study of predicting banking customers behaviour by using data mining [PDF]
, 2019 Data Mining (DM) is a technique that examines information stored in large database or data warehouse and find the patterns or trends in the data that are not yet known or suspected.
Abdar, Moloud +5 more
core +2 more sources
A Flame Detection Method Based on Novel Gradient Features
Journal of Intelligent Systems, 2018 In this study, we present a novel approach to efficiently detect the flame in multiple scenes in an image. The method uses a set of parametric representation named as Gradient Features (GF), to learn the features of flame color changes in the image ...
Liping Zhu +5 more
doaj +1 more source
Revisiting Local Descriptors via Frequent Pattern Mining for Fine-Grained Image Retrieval
Entropy, 2022 Fine-grained image retrieval aims at searching relevant images among fine-grained classes given a query. The main difficulty of this task derives from the small interclass distinction and the large intraclass variance of fine-grained images, posing ...
Min Zheng, Yangliao Geng, Qingyong Li
doaj +1 more source
InformationInformation from social networks is currently being widely used in many application domains, although in the music recommendation area, its use is less common because of the limited availability of social data. However, most streaming platforms allow for
Diego Sánchez-Moreno +4 more
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An Improved Heteroscedastic Modeling Method for Chest X-ray Image Classification with Noisy Labels
Algorithms, 2023 Chest X-ray image classification suffers from the high inter-similarity in appearance that is vulnerable to noisy labels. The data-dependent and heteroscedastic characteristic label noise make chest X-ray image classification more challenging. To address
Qingji Guan, Qinrun Chen, Yaping Huang
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