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Fringe enhanced phase unwrap** method based on unscented Kalman filter
Phase unwrap** is a crucial step in almost all Interferometric Synthetic Aperture Radar (InSAR) applications. However, the presence of noise often...
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A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method
Credit risk prediction is a crucial task for financial institutions. The technological advancements in machine learning, coupled with the...
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Mutual information-based filter hybrid feature selection method for medical datasets using feature clustering
Clustering is regarded as one of the most difficult tasks due to the large search space that must be explored. Feature selection aims to reduce the...
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Processing Method of Civil Radar Echo Signal Based on Kalman Filter Algorithm
With the popularization of civil radar application, it has great development potential in the situations of earthquake disasters and engineering...
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A scale adaptive generative target tracking method based on modified particle filter
This paper proposes an advanced particle filter (PF) algorithm based on the quantum particle swarm optimization method (QPSO) and adaptive genetic...
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FastTrack: A Highly Efficient and Generic GPU-Based Multi-object Tracking Method with Parallel Kalman Filter
The Kalman Filter based on uniform assumption has been a crucial motion estimation module in trackers. However, it has limitations in non-uniform...
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Nonlinear Time-Varying Weak Signal Enhancement Method Based on Particle Filter
Traditional weak signal enhancement methods have low signal-to-noise ratio, which affects the accuracy of weak signal recognition. Therefore, this...
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Harmonic reduction of second order sallen and key lowpass filter and second order MFB lowpass filter through closed loop PID controlled method
Filters play a crucial role in various sectors, and active filters, in particular, find widespread applications. This research paper focuses on...
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Adaptive target response-based spatio-temporal regularized correlation filter for UAV-based object tracking
Unmanned Aerial Vehicles (UAVs)-based visual object tracking has drawn significant attention recently and is extensively used in military...
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An intelligence method for heart disease prediction using integrated filter-evolutionary search based feature selection and optimized ensemble classifier
Heart disease is more difficult to detect due to certain risk factors such as diabetes, high blood pressure, abnormal heart rate, high cholesterol,...
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A new Legendre wavelet filter-based image super-resolution technique
The present article proposes a new Legendre wavelet (LW) filter-based image super-resolution technique. The LW basis vector is used in compact form...
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Deep Learning-Based Bloom Filter for Efficient Multi-key Membership Testing
Multi-key membership testing plays a crucial role in computing systems and networking applications, encompassing web search, mail systems,...
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Filter pruning based on evolutionary algorithms for person re-identification
Filter pruning has drawn much attention for releasing the limitations of person re-identification (ReID) in resource-constrained platforms due to the...
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Fast and accurate localization and map** method for self-driving vehicles based on a modified clustering particle filter
Self-driving systems require the creation of perception, which means that they must learn to interact with their environment, gather information and...
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A metaheuristic based filter-wrapper approach to feature selection for fake news detection
Due to ease of dissemination, humankind is facing an “infodemic” that has spread through electronic and social media. Therefore, there is a need to...
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Mutli-focus image fusion based on guided filter and image matting network
The problem of limited depth-of-field is one of the major disadvantages in optical imaging devices, whereas multifocus image fusion(MFIF), as an...
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Deep feature based correlation filter for single object tracking in satellite videos
In computer vision, single object tracking in satellite video is a trending research topic with challenging problems. The high-resolution remote...
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Hybrid Noise Reduction Filter Using the Gaining–Sharing Knowledge-Based Optimization and the Whale Optimization Algorithms
Noise reduction is one of the main challenges for researchers. Classical image de-noising methods reduce the image noise but sometimes lose image...
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An improved resampling particle filter algorithm based on digital twin
The problem of weight degradation is inevitable in particle filtering algorithms, and the resampling approach is an important method to reduce the...
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A multi-AUV cooperative navigation method based on the augmented adaptive embedded cubature Kalman filter algorithm
Cooperative navigation is part of the essential method for multiple autonomous underwater vehicles (AUVs) to gain an accurate position when...
