In this section we describe the dataset and our preprocessing methods, and then show how we constructed a ProtoPNet for classifying eDNA sequences. We also briefly explain the ProtoPNet itself.
Dataset and preprocessing
The dataset used in this…
Category: 7. Maths
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An efficient intelligent transportation system for traffic flow prediction using meta-temporal hyperbolic quantum graph neural networks
This section introduces the proposed MTH-QGNN(Meta-Temporal Hyperbolic Quantum Graph Neural Network) framework for traffic prediction in ITS. The MTH-QGNN model is developed to address its complex spatiotemporal dynamics of traffic flow through…
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Scrutinizing the applicability of blockchain in the sustainability of supply chains using an intelligent fuzzy multi criteria decision making
Zadeh, L. A. Fuzzy sets. Inf. Control 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X (1965).
Atanassov, K. T. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20(1), 87–96.
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Automated underwater image analysis reveals sediment patterns and megafauna distribution in the tropical Atlantic
Study Area
Our working area offshore Mauritania and North of Cape Verdes (Fig. 9) followed an East-West orientation, with a total of seven camera deployment stations distributed between the Eastern region (comprising dives 131, 144, 145) and…
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Visual delta generation with large multi-modal models enhances composed image retrieval using unlabeled data
Sec. 5.1 details the setup and VDG generation and refer this section for data availability. Sec. 5.2 covers quality checks of visual deltas. Evaluations and baseline comparisons are in Sec. 5.3, and further analyses in Sec. 5.6.
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Location allocation approach based on influence of points of dispensing
This section presents existing work on locating new facilities/PODs where facilities/PODs already exist based on location selection queries and facility location problems.
Location selection query
The location selection query is filed in a spatial…
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Harnessing infrared thermography and multi-convolutional neural networks for early breast cancer detection
The Thermo-CAD framework signifies a notable improvement in breast cancer detection through thermographic imaging, overcoming prevalent challenges in preprocessing and segmentation to optimise and elevate diagnostic precision. Thermo-CAD avoids…
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AI-based prediction of traffic crash severity for improving road safety and transportation efficiency
The proposed Traffic Data Analysis Framework is a highly sophisticated and systematic pipeline designed to integrate multi-source traffic datasets, optimize feature engineering, and leverage advanced ML and clustering techniques to predict crash…
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The potential of machine learning in classifying relapse and non-relapse in children with clubfoot based on movement patterns
Study population
In this study, a total of 35 children with Ponseti-treated idiopathic clubfoot were included. All children were between the age of 5–9 years old. During consultation, the treating orthopaedic surgeon, who is specialized in…
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New robust two-parameter estimator for overcoming outliers and multicollinearity in Poisson regression model
One of the most popular biased estimators for handling multicollinearity recently is the two-parameter estimator, which Yang and Chang introduced54 and has been applied to many GLMs. Following Yang and Chang54, the Poisson two-parameter estimator…
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