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Artificial intelligence (AI) technologies should adhere to human norms to better serve our society and avoid disseminating harmful or misleading information, particularly in Conversational Information Retrieval (CIR). Previous work, including approaches ...

Owing to the inherent complementarity among LiDAR, camera, and IMU, a growing effort has been paid to laser-visual-inertial SLAM recently. The existing approaches, however, are limited in two aspects. First, at the front-end, they usually employ a ...

An increasing number of Autonomous Mobile Robots (AMRs) are used in warehouses and factories in recent years. The risk of some of the AMRs being out of control is surging. Although Reinforcement Learning (RL)-based approaches have achieved dramatic ...

In scenarios characterized by significant curvature, such as curves, the presence of steering system hysteresis and linearization of the vehicle model may lead to understeer and steady-state errors, thereby exerting an adverse impact on the performance of ...

In industrial applications, mobile robot navigation involves autonomously moving towards specific target areas. Visual sensors are commonly used to identify and locate the target, enabling actions like manipulator grasping. However, when using the ...

For autonomous ground vehicles, global localization with 3D LiDAR is an indispensable part of tasks such as navigation. Usually, global localization using LiDAR is subdivided into two sub-problems, place recognition and global registration. For place ...

• System consider the situation where users possess mobility and the existence of obstacles in the scene.
• The computing task is partially offloaded.
• We jointly optimize total system energy consumption, total system delay, and ...

The appearance of Mobile Edge Computing (MEC) and Unmanned Aerial Vehicle (UAV) is significant for the future progress of the Internet of Things (IoT). Since the system model with a continuous action space and high-dimensional state space, the ...

Emotion causes constitute a pivotal component in the comprehension of emotional conversations. Recently, a new task named Causal Emotion Entailment (CEE) has been proposed to identify the causal utterances for the target emotional utterance in a ...

Click-through rate is a central issue in ad recommendation and has recently received extensive research attention in academia and industry. Research shows that the accuracy of prediction results in CTR prediction is closely related to interactive ...

The unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) system leverages the high maneuverability of UAVs to provide efficient computing services to terminals. A dynamic deployment algorithm based on double deep Q-networks (DDQN) is ...

• The optimal decisions on adopting livestream selling or BORS are explored.
• The ...

To reduce the adverse impacts of consumer returns, retailers have taken a series of measures to reduce the return rate and improve the consumer purchasing experience. These measures include opening a self-run livestream channel and ...

In recent years, the proportion of the elderly in the society is continuously increasing. Cardiovascular disease is a big problem that puzzles the health of the elderly. Among them, atrial fibrillation is one of the most common ...

• This research proposes an MRN and GAN-C network that are improved to process ECG data.

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• An optimization algorithm for determining water head of SICE was presented.
• ...

Appropriate working water head of subsurface irrigation systems with ceramic emitters (SICE) is crucial for providing a stable and suitable soil water environment to promote crop production and save water resources in intensive ...

The speaker encoder is an important front-end module that explores discriminative speaker features for many speech applications requiring speaker information. Current speaker encoders aggregate multi-scale features from utterances using multi-...

Real-time systems are susceptible to adversarial factors such as faults and attacks, leading to severe consequences. This paper presents an optimal checkpoint scheme to bolster fault resilience in real-time systems, addressing both logical consistency and ...

In the era of media convergence, the discipline of light environment art has changed. The development of media and the evolution of urban environment are the two direct factors. Since the 1980s, the concept of “light environment” has gradually ...

Neural architecture search (NAS) for Graph neural networks (GNNs), called NAS-GNNs, has achieved significant performance over manually designed GNN architectures. However, these methods inherit issues from the conventional NAS methods, such as high ...

Graph neural networks aim to learn representations for graph-structured data and show impressive performance, particularly in node classification. Recently, many methods have studied the representations of GNNs from the perspective of optimization goals ...

Subgraph matching is a fundamental building block for graph-based applications and is challenging due to its high-order combinatorial nature. Existing studies usually tackle it by combinatorial optimization or learning-based methods. However, they suffer ...

With the start of the COVID-19 on 2020, in order to protect the flight crew who are operating in ultra-long-range routes, the Civil Aviation Administration of China has implemented temporary deviation approval for the flight time restrictions of ...