Search Results

• Physics-guided sample generation for intelligent model training without labeled fault samples.
• Domain distribution alignment discriminative network (DDADN) for addressing distribution shift.
• Adaptive softmax (A-Softmax) loss for ...

The diagnostic performance of most intelligent models depends on having a sufficient number of labeled samples, which are difficult to obtain in real-world scenarios. Physics-guided sample generation emerges as a promising remedy for addressing ...

This article addresses the safe tracking control problem of quadrotor unmanned aerial vehicles (QUAV) considering uncertain aerodynamics and unknown external disturbances. First, a robust adaptive backstepping controller is designed, where the ...

As a promising multi-carrier modulation scheme, Generalized Frequency Division Multiplexing (GFDM) has certain advantages in low earth orbit satellite communications. However, the cost of GFDM to obtain these advantages is the self-interference ...

• Summarized two GFDM modulation structures and proposed corresponding low-complexity algorithms.
• Derived two types of sparse modulation sub-matrices and developed transmitter structures based on them, resulting in reduced complexity and ...

Using multi-criteria decision making (MCDM) technique to rank alternatives is a well-known area of study in which aggregation operators, such as ordered weighted averaging (OWA) and induced OWA (IOWA) operators, play an important role in merging ...

• Deep learning-based predicting and compensating method for the pose deviations of parallel robots is described.
• Comparative prediction results of pose deviations for CNN-BiLSTM-SE, ANN and LSTM networks are shown.
• The improvement ...

The static pose accuracy is regarded as a crucial performance indicator for parallel robots, which is inevitably affected by the geometric and nongeometric errors. However, an accurate error model for parallel robots is highly complex, especially ...

In recent years, data analysis in the sports industry has significantly advanced, enabling the analysis of players from various perspectives. The introduction of systems utilizing cutting-edge technology has allowed the quantification of player ...

Ship detection in synthetic aperture radar (SAR) images is an important and active topic, due to the characteristics of SAR images involving all-time and all-weather imaging. However, complex backgrounds caused by speckle noise and inshore land, ...

• Localization detail information and classification semantic information are integrated for tiny object detection.
• A cross-level feature refinement detector (CLFR-Det) is proposed.
• A uniform IoU-weighted adaptive training sample ...

Traditional machine learning in the education industry is facing difficulties in accurately identifying students' emotions, impacting the personalised delivery of online education. To address this, we propose the development of an enhanced YOLOv7 model ...

The Stewart platform is a typical 6-DOF (six-degree-of-freedom) parallel platform, which has been widely used in aeronautic testing, robot manufacturing, and underwater researching. The accuracy of static pose is considered as one of the critical ...

The 6-UCU parallel manipulator is both ends of the drive chain which are connected to the moving and fixed platform via the Hooke joints. The six drive chains are controlled by six servo-electric cylinders, which should have a prismatic and ...

This article addresses the observer-based event-triggered non-parallel distribution compensation (PDC) H ∞ control issue for networked T-S fuzzy systems (TSFSs) under actuator failures and aperiodic denial-of-service (DoS) attacks. In ...

The authentication technology of mobile device users has been studied for decades. To balance security, privacy, and usability, motion sensors-based user authentication methods are widely investigated in recent years. However, existing studies meet the ...

Material recognition plays an essential role in areas including industry automation, medical applications, and smart homes. However, existing material recognition systems suffer from low accuracy, inconvenience (e.g., deliberate measuring ...

Mobile crowdsensing (MCS) requires users to move to a specific area to complete the sensing task within a specified period. In order to match the tasks and users when users’ historical visit data is relatively sparse, and to allocate the tasks ...

Formation maintenance control is one of the important methods to maintain the flight stability of multiple UAVs, and the inevitable wind disturbances during formation flight make many existing methods difficult to implement. In this paper, we study the ...

In the emerging business of food delivery, rider traffic accidents raise financial cost and social traffic burden. Although there has been much effort on traffic accident forecasting using temporal-spatial prediction models, none of the existing work ...

Based on the equations of the f-plane shallow water model, a new set of nonlinear models for the interaction of the vortices in the f-plane shallow water system are established by using perturbation expansion and multi-scale method. These models ...

With the popularization of the Internet and the prevalence of online marketing, e-commerce systems provide enterprises with unlimited display space and provide customers with more product choices, while its structure is becoming increasingly complex. The ...

Gait authentication, especially sensor-based patterns, has been studied by researchers for decades. Nowadays, gait authentication has become an important facet of biometric systems due to the so-called unique characteristics of each user. With the ...

This paper investigates fault-tolerant passive synchronization for a class of complex dynamical networks with Markovian jump and coupling time-varying delays based on sampled-data control. The main purpose is to design a fault-tolerant ...