1,947 Result(s)
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Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications
Knowledge Graph (KG) has attracted more and more companies’ attention for its ability to connect different types of data in meaningful ways and support rich data services. However, due to privacy concerns, dif...
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Unsupervised domain adaptation via feature transfer learning based on elastic embedding
Supervised classification algorithms usually require a large quantity of well-labeled samples for training to achieve satisfied performance. Nevertheless, it is prohibitively difficult to create such datasets ...
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Enhanced DNA sequence design with learning PSO
DNA computing is a novel computing technology with high storage density and parallelism and promising applications. The reliability of DNA computing relies on data encoded DNA sequences, but designing qualifie...
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Consistent multi-view subspace clustering with local structure information
Multi-view subspace clustering has attracted extensive attention in recent years because it can fully utilize the inherent characteristics of each view data. The low-rank structure in many current successful m...
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Open AccessA novel method for measuring center-axis velocity of unmanned aerial vehicles through synthetic motion blur images
Accurate velocity measurement of unmanned aerial vehicles (UAVs) is essential in various applications. Traditional vision-based methods rely heavily on visual features, which are often inadequate in low-light ...
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Cross-dimensional knowledge-guided synthesizer trained with unpaired multimodality MRIs
Magnetic resonance images (MRIs) of different modalities have different reference values for pathological diagnosis. The difficulty of obtaining multimodal MRIs makes it effective to synthesize medical images ...
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A multi-strategy hybrid cuckoo search algorithm with specular reflection based on a population linear decreasing strategy
The cuckoo search algorithm (CS), an algorithm inspired by the nest-parasitic breeding behavior of cuckoos, has proved its own effectiveness as a problem-solving approach in many fields since it was proposed. ...
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Open AccessAn Improved Equilibrium Optimizer for Solving Multi-quay Berth Allocation Problem
The multi-quay berth allocation problem (MQBAP) is an important problem in the planning of seaside operations (POSO) to find the best berthing solution for all the vessels. In this paper, an efficient method b...
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Open AccessCorrection to: IntelPVT: intelligent patch-based pyramid vision transformers for object detection and classification
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A fine-grained convolutional recurrent model for obstructive sleep apnea detection
Obstructive Sleep Apnea (OSA) is a prevalent sleep-related breathing disorder that leads to various health issues such as hypertension, heart disease, diabetes, and stroke. In order to achieve a convenient, ro...
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Multi-granularity network representation learning on overlap** communities
Multi-granularity attributed network representation learning constructs a multi-granularity attributed network to extract multi-granularity features of an attributed network while preserving network’s structur...
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Multi-modal Bionic Motion Analysis of A Cpg-controlled Pneumatic Soft Robot
This paper designs a soft robot with a multi-chamber, multi-airbag mimicking soft biological structure, where the airbags of the same chamber are interconnected with each other. The upper and lower chambers ar...
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Open AccessCFNAM-PG: Bridging Phonetic and Glyphic Information for Chinese Full Name and Abbreviation Matching Based on Simbert and DenseNet
Matching abbreviated names with their full names (full-abbr matching) plays a key role in data integration, address matching, information retrieval, and other fields. Traditional full-abbr matching technology ...
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Contrastive visual feature filtering for generalized zero-shot learning
Generalized zero-shot learning aims to classify images from seen and unseen classes only by training with seen samples, which encounters the seen-unseen bias problem. Existing methods seek to solve the seen-un...
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Deep question generation model based on dual attention guidance
Question generation refers to the automatic generation of questions by computer systems based on given paragraphs and answers, which is one of the research hotspots in natural language processing. Although pre...
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Pronunciation guided copy and correction model for ASR error correction
Error correction has proven to be an effective means for refining mistakes produced by Automatic Speech Recognition (ASR) models, thereby contributing to a notable reduction in the Word Error Rate (WER) at the...
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Open AccessRetraction Note: Meta-analysis of Artificial Intelligence-Assisted Pathology for the Detection of Early Cervical Cancer
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Efficiency Enhancement in Hammer Mills through Biomimetic Pigeon Wing Sieve Design
Hammer mill is widely used in the feed processing industry. During its operation, the material is thrown against the inner wall of the sieve after being broken by the hammer. Limited by the annular structure s...
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Event-Triggered Adaptive Fuzzy Finite-Time Control for Steer-by-Wire Vehicle Systems
This paper investigates an event-triggered adaptive fuzzy finite-time control issue for the steer-by-wire vehicle (SBWV) systems. Different from the steer-by-wire (SBW) system studied by the previous literatur...
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Multi-order attribute network representation learning via constructing hierarchical graphs
Network representation learning (NRL) is widely used for such tasks as link prediction, node classification in network analysis. For NRL, it is a challenge in effectively fusing structural features and attribu...
