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GCGE: a package for solving large scale eigenvalue problems by parallel block dam** inverse power method
In this paper, we introduce some strategies to improve the efficiency and scalability of the generalized conjugate gradient algorithm and build a...
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Double Grad-CAM Guidance for Improved MRI-based Pseudo-CT Synthesis
Deep learning approaches are capable of learning the map** function from MR to CT images and thus allow synthesizing pseudo-CTs. However, due to...
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On the generalized AOR and CG iteration methods for a class of block two-by-two linear systems
In this work, we utilize the generalized AOR (GAOR) and CG (GCG) methods for constructing iteration methods to solve the block two-by-two linear...
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An Exact Schur Complement Method for Time-Harmonic Optimal Control Problems
By use of Fourier time series expansions in an angular frequency variable, time-harmonic optimal control problems constrained by a linear...
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Synthesis of Distributed Protocols by Enumeration Modulo Isomorphisms
Synthesis of distributed protocols is a hard, often undecidable, problem. Completion techniques provide partial remedy by turning the problem into a...
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Multiview Learning via Non-negative Matrix Factorization for Clustering Applications
Multiview clustering is to more fully use the information between views to guide the division of data points, and multiview data is often accompanied...
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A parallel generalized conjugate gradient method for large scale eigenvalue problems
Based on dam** blocked inverse power method, a type of generalized parallel conjugate gradient method is proposed for large scale eigenvalue...
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Deoxyribonucleic Acid Cryptography Based Least Significant Byte Steganography
Cryptography and steganography are used to safeguard data, but each has its own set of problems. One of the major issues with cryptography is its...
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Who engaged in the team-based assessment? Leveraging EdTech for a self and intra-team peer-assessment solution to free-riding
A STEM-based faculty in an Australian university leveraged online educational technology to help address student and academic concerns associated...
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I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-Shaped Scene Text Detection
Existing methods for arbitrary-shaped text detection in natural scenes face two critical issues, i.e., (1) fracture detections at the gaps in a text...
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Pathway trajectory analysis with tensor imputation reveals drug-induced single-cell transcriptomic landscape
Genome-wide identification of single-cell transcriptomic responses of drugs in various human cells is a challenging issue in medical and...
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Understanding Tumor Micro Environment Using Graph Theory
Based over the historical data statistics of about past 50 years from National Cancer Institute’s Surveillance, the survival rate of patients...
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MVHANet: multi-view hierarchical aggregation network for skeleton-based hand gesture recognition
Skeleton-based gesture recognition (SHGR) is a very challenging task due to the complex articulated topology of hands. Previous works often learn...
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Hierarchical Phenoty** and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms
The cells and their spatial patterns in the tumor microenvironment (TME) play a key role in tumor evolution, and yet the latter remains an...
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Wearable devices and IoT applications for symptom detection, infection tracking, and diffusion containment of the COVID-19 pandemic: a survey
Until a safe and effective vaccine to fight the SARS-CoV-2 virus is developed and available for the global population, preventive measures, such as...
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Multiview Similarity Learning for Robust Visual Clustering
Multiview similarity learning aims to measure the neighbor relationship between each pair of samples, which has been widely used in data mining and...
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A tri-nucleotide map** scheme based on residual volume of amino acids for short length exon prediction using sliding window DFT method
One of the great challenges in the field of bioinformatics is how to locate the accurate protein-coding regions in a given DNA sequence. The accurate...
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Multi-label local awareness and global co-occurrence priori learning improve chest X-ray classification
When analyzing screening chest X-ray (CXR) images, radiologists can naturally consider information about the relationships between pathologies,...
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Examining knowledge entities and its relationships based on citation sentences using a multi-anchor bipartite network
This paper proposes a novel entitymetrics approach by exclusively focusing on citation sentences. Since citation sentences offer authors’ research...
