Search Results

Recommendation systems are widely used in e-commerce websites and online platforms to address information overload. However, existing systems primarily rely on historical data and user feedback, making it difficult to capture user intent transitions. ...

Covariance matrix estimation is an important problem in statistics, with wide applications in finance, neuroscience, meteorology, oceanography, and other fields. However, when the data are high-dimensional and constantly generated and updated in a ...

The muck removal operation in tunnel boring machine (TBM) construction seriously restricts the safety and efficiency of tunnel engineering. To meet the requirements of muck removal at the bottom of the tunnel, a mechanism design and path planning ...

Modeling users' historical behaviors is an essential task in many industrial recommender systems. The user interest representation, in previous works, is obtained through the following paradigm: concrete behaviors are firstly embedded as low-dimensional ...

In this paper, several domain decomposition algorithms are considered to solve parallelly non-steady diffusion equations. The contributions of this work are threefold. The first one is that we present effective parallel domain ...

Modern recommendation systems introduce the re-ranking stage to optimize the entire list directly. This paper focuses on the design of re-ranking framework in feed to optimally model the mutual influence between items and further promote user ...

Abstract: As the distribution network business hub, the distribution network production command center faces the need to improve the efficiency of the distribution network production command business. This article draws on international mainstream ...

Nowadays, many network security related personnel are accustomed to using simple passwords or default passwords set by system. Based on this kind of weak password vulnerabilities, the hackers can gain access to the systems easily. Weak password ...

Recent studies in recommender systems have managed to achieve significantly improved performance. However, despite being extensively studied, these methods still suffer from two limitations. First, previous studies either encode the document or extract ...

In the Click-Through Rate (CTR) prediction scenario, user's sequential behaviors are well utilized to capture the user interest in the recent literature. However, despite being extensively studied, these sequential methods still suffer from three ...

This paper presents a comprehensive platform named AutoRec, which can help developers build effective and explainable recommender models all in one platform. It implements several well-known and state-of-art deep learning models in item ...

In order to increase the power density of the three-phase AC-DC converter, this paper presents a weight optimization method, which considers taking advantage of generator inductance. The optimization method analyzes the interdependence of all the ...

The permanent magnet synchronous machine (PMSM)with variable flux hybrid rotor(VFHR) is a hot topic in reliability-critical application like aeronautical servo/drive systems. It is of great benefits to deepen the working mechanism of the permanent magnet ...

Fuel-cell can be a competitive energy device in the future due to the features of zero emission and high efficiency. Generally, fuel-cell will be used with other energy storage devices because of its slow dynamic response. This paper presents an optimized ...

The paper presents a motor design of permanent magnet synchronous motor (PMSM)used for electric aircraft propeller drive. The goal of motor design is to meet high power density and high efficiency simultaneously. First, in order to improve the power ...

This paper deals with a class of fuzzy cellular neural networks with multi-proportional delays. By applying the contraction mapping fixed point theorem and differential inequality techniques, a set of easily verifiable sufficient conditions are ...

Formula SAE is an international engineering design competition for university students to design, build and test a four-wheel race car in one year. Formula student electric series has been introduced into formula student duo to the increasing interest in ...

In this paper, a new sensorless control strategy based on sliding mode observer(SMO) and phase-locked loop(PLL) for high speed surface-mounted permanent-magnet synchronous motor(SPMSM) is proposed. Compared to conventional sliding mode observer, the novel ...

The need for increased performance of mobile device directly conflicts with the desire for longer battery life. Offloading computation to resourceful servers is an effective method to reduce energy consumption and enhance performance for mobile ...

The recent availability of Intel Haswell processors marks the transition of hardware transactional memory from research toys to mainstream reality. DBX is an in-memory database that uses Intel's restricted transactional memory (RTM) to achieve high ...