Search Results

This study aims to design a new adaptive control method for permanent magnet synchronous motors (PMSMs) using neural networks (NNs). In comparison to traditional motor backstepping control designs, this research introduces a command filtering ...

This work deals with the Multi-Vehicle Trajectory Planning (MVTP) problem in unstructured conflict areas. Compared with MVTP on structured roads, the more complex intersection and the more conflicting motions of vehicles, set higher requirements for the ...

In the foreseeable Intelligent Transportation System, Intelligent Connected Vehicles (ICVs) will play an important role in improving travel efficiency and safety. However, it is challenging for ICVs to support the resource-hungry autonomous driving ...

Well-trained visual object detectors are generally confronted with a severe performance decline when deployed in a novel driving scenario due to the impact of domain shift. Despite excellent improvements in unsupervised domain adaptive object detection ...

The task of math word problem (MWP) generation, which generates an MWP given an equation and relevant topic words, has increasingly attracted researchers’ attention. In this work, we introduce a simple memory retrieval module to search related training ...

Cementitious coating effectively prevents chloride‐induced corrosion in offshore reinforced concrete (RC) structures. Strain hardening cementitious composites (SHCC) is a class of advanced cementitious composites with superior ductility and ...

• The development of process planning software for DED-Arc, which can convert 3D graphics directly into a robot executable language.

Establishing manufacturability design criteria for multidimensional complex parts can significantly reduce the production cost, shorten the manufacturing cycle, and improve the production quality of directed energy deposition. ...

Reliability analysis aims at quantitatively assessing the risks of structures and infrastructure systems considering various sources of aleatory or epistemic uncertainties. This concept can be interpreted as reliability updating (RU) to track the ...

Communication delays are inevitable in vehicle platoons and may inhibit control performance. To address this issue, existing delay compensation strategies often resort to a greater time headway based on the delay upper bound, which compromises ...

Support vector machines (SVMs) are powerful statistical learning tools, but their application to large datasets can cause time-consuming training complexity. To address this issue, various instance selection (IS) approaches have been proposed, ...

A fully integrated 6–18 GHz bulk CMOS ultra-wideband (UWB) gain-compensation amplifier for phased-array radar system based on SMIC 40-nm CMOS process is presented in this paper. Combined with dual-branch input matching network, three-...

Graph Neural Networks (GNNs) have demonstrated promising results on exploiting node representations for many downstream tasks through supervised end-to-end training. To deal with the widespread label scarcity issue in real-world applications, Graph ...

Modern recommender systems often deal with a variety of user interactions, e.g., click, forward, purchase, etc., which requires the underlying recommender engines to fully understand and leverage multi-behavior data from users. Despite recent efforts ...

Binary and source matching is vital for vulnerability detection or program comprehension. Most existing works focus on library matching (coarse-grained) by utilizing some simple features. However, they are so coarse-grained that high false ...

This paper presents the <italic>Eidetic</italic> architecture, which is an SRAM-based ASIC neural network accelerator that eliminates the need to continuously load weights from off-chip, while also minimizing the need to go off chip for intermediate ...

Traditional NAS methods improve performance by sacrificing the landing ability of the architecture and the re-parameterization technology is expected to solve this problem. However, most current Rep methods rely on prior knowledge to select the re-...

With the development of the Internet of Things (IoT), mobile devices are playing an increasingly important role in our daily lives. There are various malware threats present in these mobile devices, which can steal users’ personal information. Some ...

The task of math word problem generation (MWPG), which generates a math word problem (MWP) given an equation and several topic words, has increasingly attracted researchers’ attention. In this work, we propose a memory retrieval model to better ...

Click-through rate (CTR) prediction is a research hotspot in the field of recommendation systems and online advertising. Because of the diversity, large-scale, and high real-time characteristics of Internet data, manual feature interaction is ...

Multi-task learning (MTL) has been widely utilized in various industrial scenarios, such as recommender systems and search engines. MTL can improve learning efficiency and prediction accuracy by exploiting commonalities and differences across tasks. ...