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As a fundamental task of the perception system for autonomous driving, LiDAR-based 3D object detection often suffers from the absence of incomplete object shapes under long distances and occlusion. 3D object detectors, based on point cloud ...

Currently, the incomplete point cloud structure in LiDAR point clouds has become the primary challenge for improving detector performance. Point cloud completion methods address this issue by adding more points to regions of interest, however, due ...

Negative transfer mitigation in transfer learning and universal-model establishment are crucial in electroencephalography (EEG)-based emotion recognition research. This study proposed a multi-source domain adaptation pairwise transfer learning ...

Nested simulation concerns estimating functionals of a conditional expectation via simulation. In this paper, we propose a new method based on kernel ridge regression to exploit the smoothness of the conditional expectation as a function of the ...

As the origin of blockchains, the Nakamoto Consensus protocol is the primary protocol for many public blockchains (e.g., Bitcoin) used in cryptocurrencies. Blockchains need to be decentralized as a core feature, yet it is difficult to strike a balance ...

Recently, Transformer-based few-shot classification methods are widely exploited. However, they only leverage feature information at a single scale, resulting in weak feature representations, which cannot fully capture the rich information contained in a ...

Unsupervised cross-modal hashing has attracted much attention in large-scale cross-modal retrieval due to its low storage consumption and high retrieval efficiency. However, existing unsupervised hashing methods fail to capture the relevance of ...

Path Traversal Vulnerability is a significant security flaw that allows attackers to exploit the file system structure of web applications by manipulating user input to access files outside the intended directory structure. This vulnerability can ...

The characteristics of safety management of key units are analyzed, the constituent index elements of safety management of key units are obtained, the logistic regression prediction model of safety management of key units is established to realize the ...

The large pre-trained vision-language models (VLMs) utilized in text-video retrieval have demonstrated strong cross image-text understanding ability. Existing works leverage VLMs to extract features and design fine-grained uni-directional ...

By analyzing the influencing factors of equipment spare parts consumption, dividing the historical consumption data into training set and test set, using the training set to establish ElasticNet regression model, making preliminary prediction of ...

Equipment demand prediction is the basic work of equipment protection, and it has traction for equipment financing and replenishment. Using CNN-LSTM model, a prediction model of factors affecting equipment consumption such as operation duration, ...

This article researches the asymptotic stabilization problem for spatial 2-D linear parabolic partial differential equation (PDE) systems with a mobile collocated actuator/sensor pair. First, the projection modification algorithm is proposed to ...

Issue tracking systems are now prevalent in software development, which would help developers submit and discuss issues to solve development problems on software projects. Most previous studies have been conducted to analyze issue relations ...

If a financial asset’s price movement impacts a firm’s product demand, the firm can respond to the impact by adjusting its operational decisions. For example, in the automotive industry, automakers decrease the selling prices of fuel-inefficient cars when ...

Python package installation is far from trivial. Users encounter a variety of errors when installing Python libraries, including dependency conflicts and incompatibilities. Existing solutions focus on parsing third-party dependencies but ignore ...

• A diagnosis tool gives comprehensive diagnoses for Python package installations and generates feasible installation solutions.
• An empirical study of Python version compatibility in the wild. There is a strong relationship between ...

In order to explore, identify, innovate and utilize of oriental tobacco germplasm resources, the genetic diversity of 60 oriental tobacco germplasms from 11 different countries was first analyzed by 35 SSR markers which evenly distributed on 24 linkage ...

Target lost and robustness to occlusion scenarios hinder real-world applications of current object tracking methods. In this paper, we focus on reducing the frames of target lost in the single object tracking task. We propose a multi-template object ...

Stress has been identified as one of major causes of health issues. To detect the stress levels with higher accuracy, fusion of multimodal physiological signals is a promising technique. However, there is an asynchrony between physiological signals ...

High-dimensional Simulation Metamodeling

Stochastic kriging has been widely employed for simulation metamodeling to predict the response surface of complex simulation models. However, its use is limited to cases where the design space is low-dimensional ...

Stochastic kriging has been widely employed for simulation metamodeling to predict the response surface of complex simulation models. However, its use is limited to cases where the design space is low-dimensional because in general the sample complexity (...