Results 31 to 40 of about 4,058 (185)
Local appearance-based face recognition using adaptive directional wavelet transform
Journal of King Saud University: Computer and Information Sciences, 2019 The latest research has shown that adaptive directional wavelet transform can constitute edges and textures in images efficiently due to the adaptive directional selectivity.
Mohd. Abdul Muqeet, Raghunath S. Holambe
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Information, 2021 Stock movement prediction is important in the financial world because investors want to observe trends in stock prices before making investment decisions. However, given the non-linear non-stationary financial time series characteristics of stock prices,
Lifang Peng, Kefu Chen, Ning Li
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A Quantitative Analysis of an EEG Epileptic Record Based on MultiresolutionWavelet Coefficients
Entropy, 2014 The characterization of the dynamics associated with electroencephalogram (EEG) signal combining an orthogonal discrete wavelet transform analysis with quantifiers originated from information theory is reviewed.
Mariel Rosenblatt +4 more
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Hermite Transform Based Algorithm for Detection and Classification of High Impedance Faults
IEEE Access, 2022 This work proposes a new algorithm to classify high impedance faults (HIFs) in distribution systems. HIFs can be represented by small current magnitudes with non-linear variations, which complicate their detection in distribution grids.
Daniel Guillen +3 more
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Dual‐Scale Transformer Fusion With Meta Learning for Micro Metastasis Detection in Thyroid Cancer
Advanced Intelligent Systems, EarlyView.A dual‐scale transformer model enhanced by meta‐learning enables accurate detection of tiny metastatic lesions in thyroid cancer. By combining cellular and tissue‐level features, the method outperforms existing models and shows strong adaptability to rare cases with limited data.
Jingtao Wang +5 more
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Diagnostics, 2022 Timely discovery of COVID-19 could aid in formulating a suitable treatment plan for disease mitigation and containment decisions. The widely used COVID-19 test necessitates a regular method and has a low sensitivity value. Computed tomography and chest X-
Happy Nkanta Monday +6 more
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Archaeological Prospection, EarlyView.ABSTRACT This study presents a strong framework for the detection and classification of Submerged Cultural Heritage Assets (SCHA) in shallow marine environments using the integration of multibeam echosounder and airborne LiDAR bathymetry with object‐based image analysis and fuzzy logic–based classification.
Łukasz Janowski +4 more
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Deep Underground Science and Engineering, EarlyView.The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao +5 more
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Enhancing Volatility Prediction: A Wavelet‐Based Hierarchical Forecast Reconciliation Approach
Journal of Forecasting, EarlyView.ABSTRACT Forecasting realized volatility (RV) has been widely studied, with numerous techniques developed to enhance predictive accuracy. Among these techniques, the use of RV decompositions based on intraday asset returns has been applied. However, the use of a frequency‐based decomposition, which provides unique insights into the dynamics of RV ...
Adam Clements, Ajith Perera
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Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
Journal of Field Robotics, EarlyView.ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos +6 more
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