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Map** change in higher-order networks with multilevel and overlap** communities
New network models of complex systems use layers, state nodes, or hyperedges to capture higher-order interactions and dynamics. Simplifying how the...
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Multilevel progressive recursive dilated networks with correlation filter (MPRDNCF) for image super-resolution
Nowadays, deep convolutional neural networks (CNNs) are mostly applied for image Super-Resolution (SR). But still, there are some disadvantages of...
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A Bayesian multilevel model for populations of networks using exponential-family random graphs
The collection of data on populations of networks is becoming increasingly common, where each data point can be seen as a realisation of a...
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Unsupervised deep learning for geometric feature detection and multilevel-multimodal image registration
Medical image registration is a crucial step in computer-assisted medical diagnosis, and has seen significant progress with the adoption of deep...
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Multilevel Asynchronous Time Network for Medication Recommendation
Medication recommendation is a pivotal task for AI in the realm of healthcare. Previous works have primarily focused on recommending medication for...
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Distributed Deep Multilevel Graph Partitioning
We describe the engineering of the distributed-memory multilevel graph partitioner dKaMinPar. It scales to (at least) 8192 cores while achieving...
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AntibotV: A Multilevel Behaviour-Based Framework for Botnets Detection in Vehicular Networks
Connected cars offer safety and efficiency for both individuals and fleets of private vehicles and public transportation companies. However,...
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Battle royale optimizer for multilevel image thresholding
Image segmentation, the process of partitioning an image into meaningful regions, is a fundamental step in image processing, crucial for applications...
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A single-stage fashion clothing detection using multilevel visual attention
Fashion is defined as a prevailing custom or style of dress, etiquette, and socialising. In recent years, fashion clothing analysis has attracted...
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PCGC: a performance compact graph compiler based on multilevel fusion-splitting rules
The existing deep learning compilers are unable to perform efficient hardware performance-related graph fusion when both time and power consumption...
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Semi-supervised 3D shape segmentation with multilevel consistency and part substitution
The lack of fine-grained 3D shape segmentation data is the main obstacle to develo** learning-based 3D segmentation techniques. We propose an...
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Degree assortativity in collaboration networks and breakthrough innovation: the moderating role of knowledge networks
Collaboration networks are widely recognized as essential channels for accessing innovation resources and facilitating creative activities by...
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Multilevel saliency-guided self-supervised learning for image anomaly detection
Anomaly detection (AD) is a fundamental task in computer vision. It aims to identify incorrect image data patterns which deviate from the normal...
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Exponential entropy-based multilevel thresholding using enhanced barnacle mating optimization
Multilevel Thresholding (MLT) is a prominent image segmentation research field that can effectively handle problems encountered while collecting...
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Faster learning of temporal action proposal via sparse multilevel boundary generator
Temporal action localization in videos presents significant challenges in the field of computer vision. While the boundary-sensitive method has been...
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A multilevel object pose estimation algorithm based on point cloud keypoints
The main task of object pose estimation is to predict the 3D rotation and 3D translation of an object in the current scene relative to a fixed object...
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A multilevel graph approach for IoT-based complex scenario management through situation awareness and semantic approaches
Modern reality and the environments in which we live are characterized by technology components geared toward automatic management through pervasive...
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The application of exponential random graph models to collaboration networks in biomedical and health sciences: a review
Collaboration has become crucial in solving scientific problems in biomedical and health sciences. There is a growing interest in applying social...
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Confidentiality Technique for PLC Networks
This chapter presents and details a confidentiality technique for Power Line Communication (PLC) networks. It consists of a new multilevel...
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An automated crack detection method for underwater structures based on multilevel DWT and LPQ feature generation
Underwater image processing is a very important research area to detect cracks in underwater constructions. In this study, a new light computer...
