Results 11 to 20 of about 535,764 (342)
A Fusion-Based Defogging Algorithm [PDF]
Remote Sensing, 2022 To solve the problem that traditional dark channel is not suitable for a large sky area and can easyily distort defogged images, we propose a novel fusion-based defogging algorithm. Firstly, an improved remote sensing image segmentation algorithm is introduced to mix the dark channel.
Ting Chen 0003 +5 more
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The fusion–fission optimization (FuFiO) algorithm
Scientific Reports, 2022 AbstractFusion–Fission Optimization (FuFiO) is proposed as a new metaheuristic algorithm that simulates the tendency of nuclei to increase their binding energy and achieve higher levels of stability. In this algorithm, nuclei are divided into two groups, namely stable and unstable. Each nucleus can interact with other nuclei using three different types
Behnaz Nouhi +5 more
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THE S2-ENSEMBLE FUSION ALGORITHM [PDF]
International Journal of Neural Systems, 2011 This paper presents a novel model for performing classification and visualization of high-dimensional data by means of combining two enhancing techniques. The first is a semi-supervised learning, an extension of the supervised learning used to incorporate unlabeled information to the learning process.
Bruno Baruque +2 more
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TopHat-Fusion: an algorithm for discovery of novel fusion transcripts [PDF]
Genome Biology, 2011 AbstractTopHat-Fusion is an algorithm designed to discover transcripts representing fusion gene products, which result from the breakage and re-joining of two different chromosomes, or from rearrangements within a chromosome. TopHat-Fusion is an enhanced version of TopHat, an efficient program that aligns RNA-seq reads without relying on existing ...
Kim, Daehwan, Salzberg, Steven L
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A Risk Profile for Information Fusion Algorithms [PDF]
Entropy, 2011 E.T. Jaynes, originator of the maximum entropy interpretation of statistical mechanics, emphasized that there is an inevitable trade-off between the conflicting requirements of robustness and accuracy for any inferencing algorithm. This is because robustness requires discarding of information in order to reduce the sensitivity to outliers.
Kenric P. Nelson +2 more
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Paradox Elimination in Dempster–Shafer Combination Rule with Novel Entropy Function: Application in Decision-Level Multi-Sensor Fusion [PDF]
, 2019 Multi-sensor data fusion technology in an important tool in building decision-making applications. Modified Dempster–Shafer (DS) evidence theory can handle conflicting sensor inputs and can be applied without any prior information.
Anwar, Sohel, Khan, Md Nazmuzzaman
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Whose Grass Is Greener? Green Marketing: Toward a Uniform Approach for Responsible Environmental Advertising [PDF]
, 1992 An axial algebra $A$ is a commutative non-associative algebra generated by primitive idempotents, called axes, whose adjoint action on $A$ is semisimple and multiplication of eigenvectors is controlled by a certain fusion law.
McInroy, Justin, Shpectorov, Sergey
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Symptom Analysis Using Fuzzy Logic for Detection and Monitoring of COVID-19 Patients
Energies, 2021 Recent developments regarding the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) opened new horizons of healthcare opportunities.
Tayyaba Ilyas +3 more
doaj +1 more source
Statistical image fusion with generalised Gaussian and Alpha-Stable distributions [PDF]
, 2007 This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients of the input images.
Achim, AM +3 more
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A comparison of track-to-track fusion algorithms for automotive sensor fusion [PDF]
2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008 In exteroceptive automotive sensor fusion, sensor data are usually only available as processed, tracked object data and not as raw sensor data. Applying a Kalman filter to such data leads to additional delays and generally underestimates the fused objectspsila covariance due to temporal correlations of individual sensor data as well as inter-sensor ...
Stephan Matzka, Richard Altendorfer
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