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Knowledge Base Embeddings for a Recommendation Based on Overlapping Knowledge and Graph Learning
Knowledge bases have grown in size and complexity due to the rapid development of information technology, and recommendation algorithms are the key...
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Measuring sustainable development of intelligent tourism service system: analysis on the user’s intention
The intelligent tourism service system will help strengthen the management of scenic spots, improve tourism efficiency, and help improve the tourism...
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Experimental study on the influence of curing conditions on the mechanical performance of municipal solid waste incinerated-bottom ash (MSWI-BA)
In this study, three groups of municipal solid waste incinerated-bottom ash (MSWI-BA) with different particle sizes (1.18–2.36 mm; 2.36–4.75 mm;...
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Associations of triglyceride-glucose (TyG) index with chest pain incidence and mortality among the U.S. population
BackgroundThe triglyceride and glucose (TyG) index, a simple surrogate marker of insulin resistance, is related to cardiovascular disease. However,...
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Optimizing image captioning algorithm to facilitate english writing
Various studies have been conducted on applying intelligent recognition technology, especially speech recognition technology to improve English...
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Hierarchical Service Composition via Blockchain-enabled Federated Learning
In recent years, the transformative evolution of cloud computing has reshaped organizational practices by enabling the outsourcing of web service...
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Equivalent load model for the numerical simulation of integrated induction heating and mechanical rolling forming of curved hull plates
Integrated induction heating and mechanical rolling forming (IH-MRF) is a new method for producing complex curvature hull plates. The plate undergoes...
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Regularization Factor Based Visual-Inertial SLAM Method Considering State Uncertainty in Dynamic Environments
This paper presents a regularization factor based visual-inertial SLAM method considering state uncertainty in dynamic environments. To address the... -
AU3-GAN: A Method for Extracting Roads from Historical Maps Based on an Attention Generative Adversarial Network
In recent years, the integration of deep learning technology based on convolutional neural networks with historical maps has made it possible to...
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Fault Detection of DFIG Using an Improved Fractional-Order PID Sliding Mode Observer Based on the Adaptive Golden Eagle Optimizer
This paper presents a fault detection approach for doubly-fed induction generators (DFIG) utilizing an improved fractional-order PID sliding mode...
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Multi-teacher Universal Distillation Based on Information Hiding for Defense Against Facial Manipulation
The rapid development of AI-based facial manipulation techniques has made manipulated facial images highly deceptive. These techniques can be misused...
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Otolith Morphometrics and Variations Between Two Populations of Sillago sinica (Perciformes, Sillaginidae) in the East China Sea and the Yellow Sea
Chinese sillago ( Sillago sinica ) is a newly recorded fish species from coastal waters of China. The calcified otolith locating within the inner ear...
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Camera calibration for the surround-view system: a benchmark and dataset
Surround-view system (SVS) is widely used in the advanced driver assistance system (ADAS). SVS uses four fish-eye lenses to monitor real-time scenes...
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SECC Framework: Get the Best from Both the Cloud and Edge Computing in Internet of Things
Internet of Things (IoT) is an important component of the 5 th generation mobile network, which is being deployed worldwide. To achieve the goal of...
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Advanced Diagnosis of Armature Winding Short-Circuit Faults in Variable Flux Reluctance Machines Using Information Fusion on Mechanical and Electrical Signals
Variable flux reluctance machines can be adopted in the field of built-in starter generator for aero-engine. It is critical to achieve reliable...
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Thermal Layout Optimization of Power Devices on PCB
The layout of PCB power devices is a key factor affecting the temperature distribution of power electronics. However, the current targeted... -
Credible Dual-Expert Learning for Weakly Supervised Semantic Segmentation
Great progress has been witnessed for weakly supervised semantic segmentation, which aims to segment objects without dense pixel annotations. Most...
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Analysis of Operating Performance Parameters of the Internal Twin Screw Pump
In response to the challenge of unclear characteristics within the internal flow field and operational performance of internal twin screw pumps, this...
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Research and Application of Joint Interpretation Using P-Wave and PS-Wave in Tight Gas Exploration
The exploration and development of tight sandstone gas reservoirs are controlled by high-quality river channel sand bodies on a large scale in...