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Needle Tip Tracking During CT-guided Interventions using Fuzzy Segmentation
CT-guided interventions are standard practice for radiologists to treat lesions in various parts of the human body. In this context, accurate...
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Short time fourier transform with coefficient optimization for detecting salient regions in stereoscopic 3D images: GSDU
In multimedia scenario, number of saliency detection designs has been portrayed for different intelligent applications regarding the accurate...
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Verification of Quantum Systems Using Barrier Certificates
Various techniques have been used in recent years for verifying quantum computers, that is, for determining whether a quantum computer/system...
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A novel explainable image classification framework: case study on skin cancer and plant disease prediction
An explainable/interpretable machine learning model is able to make reasoning about its predictions in understandable terms to humans. These...
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Frame Spectral Energy Distribution
Environmental and climatic processes always respond slowly to white noise forcing arising in the Earth system, leading to that background noises in...
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Improved Competitive Ratio for Edge-Weighted Online Stochastic Matching
We consider the edge-weighted online stochastic matching problem, in which an edge-weighted bipartite graph...
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Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline
As the field of digital pathology continues to advance, the computeraided analysis of whole slide images (WSI) has become an essential component for...
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Stochastic Expectation Propagation Learning for Unsupervised Feature Selection
We introduce a statistical procedure for the simultaneous clustering and feature selection of positive vectors. The proposed method is based on...
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Unified construction of two n-order circuit networks with diodes
In this paper, two different n -order topological circuit networks are connected by diodes to establish a unified network model, which is a previously...
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A spatial procedure to spectral subtraction for speech enhancement
The major drawback of the most widely used spectral subtraction (SS) algorithm is, it fails to reduce musical noise. In addition to this in SS, the...
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AIDEDNet: anti-interference and detail enhancement dehazing network for real-world scenes
The haze phenomenon seriously interferes the image acquisition and reduces image quality. Due to many uncertain factors, dehazing is typically a...
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Emotion estimation from nose feature using pyramid structure
The facial expression and human emotions are considered as important components for building various real-time applications such as human expression...
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Correlation Clustering Adapted for Cell Site Management of Mobile Networks in Develo** Countries
Any mobile network operator’s primary concern is ensuring a better customer experience for their subscribers. For this reason, they need to ensure...
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Generalized fused Lasso for grouped data in generalized linear models
Generalized fused Lasso (GFL) is a powerful method based on adjacent relationships or the network structure of data. It is used in a number of...
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Rinocchio: SNARKs for Ring Arithmetic
Succinct non-interactive arguments of knowledge (SNARKs) enable non-interactive efficient verification of NP computations and admit short proofs....
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Neighbor Correlated Graph Convolutional Network for multi-stage malaria parasite recognition
Malaria is a serious and fatal infectious disease and early detection of the patient’s infection severity can effectively curb the outbreak of this...
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Energy-efficient UAV-NOMA aided wireless coverage with massive connections
In this paper, we propose an unmanned aerial vehicle (UAV)-assisted wireless coverage scheme, wherein UAVs help to serve the cell-edge users for...
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Modified dynamic event-triggered scaled formation control for multi-agent systems via a sparrow search algorithm based co-design algorithm
This paper is concerned with the scaled formation control problem for multi-agent systems (MASs) over fixed and switching topologies. First, a...
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Unsupervised person re-identification based on distribution regularization constrained asymmetric metric learning
In unsupervised person re-identification, the traditional asymmetric metric learning alleviates the bias of person images from different views....
