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ISSN: 1674-862X
CN: 51-1724/TN
e-ISSN: 2666-223X

Intelligent obstacle avoidance algorithm for safe urban monitoring with autonomous mobile drones

The growing field of urban monitoring has increasingly recognized the potential of utilizing autonomous technologies, particularly in drone swarms. The deployment of intelligent drone swarms offers...

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UAV data link anti-interference via SLHS-SVM-AdaBoost algorithm: Classification prediction and route planning

The ability to predict the anti-interference communications performance of unmanned aerial vehicle (UAV) data links is critical for intelligent route planning of UAVs in real combat scenarios. Previous...

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Efficient anomaly detection method for offshore wind turbines

Time-series anomaly detection plays a crucial role in the operation of offshore wind turbines. Various wind turbine monitoring systems rely on time-series data to monitor and identify anomalies in real-time,...

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Dual-band and high-isolation shared-aperture antenna for broadband airborne applications

A dual-band and high-isolation shared-aperture antenna for unmanned aerial vehicle (UAV) platforms has been proposed. This shared-aperture antenna consists of a rectangular monopole antenna and a 4-element...

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Compensation for Topographic Effect on P-band PolSAR Data with a Polarimetric Decomposition Technique

A P-band polarimetric synthetic aperture radar (PolSAR) sensor has deep penetration ability into and through the vegetation canopies in forested environments. Thus, the sensor is of great potential...

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Stable computations of the spherically layered media theory with high lossy media by using scaled Bessel functions

The spherically layered media theory has wide applications for electromagnetic wave scattering analysis. Due to the involved Bessel functions, the conventional formulations of the spherically layered...

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Adaptive multi-agent reinforcement learning for dynamic pricing and distributed energy management in virtual power plant networks

This paper presents a novel approach to dynamic pricing and distributed energy management in virtual power plant (VPP) networks using multi-agent reinforcement learning (MARL). As the energy landscape...

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RUDIE: Robust approach for underwater digital image enhancement

Processing underwater digital images is critical in ocean engineering, biology, and environmental studies, focusing on challenges such as poor lighting, image de-scattering, and color restoration. Due...

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Airborne Ultra-low Profile Ultra-wideband Omnidirectional Antenna Based on Tightly Coupled Arrays

Against the backdrop of electromagnetic space integration, the radio system of equipment platforms, such as next-generation aircraft, must possess multifunctional integration and electromagnetic stealth...

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Chinese named entity recognition with multi-network fusion of multi-scale lexical information

Named entity recognition (NER) is an important part in knowledge extraction and one of the main tasks in constructing knowledge graphs. In today’s Chinese named entity recognition (CNER) task, the BERT-BiLSTM-CRF...

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Numerical design of an efficient Ho3+-doped InF3 fiber laser at ∼3.2 ​μm

In this work, we theoretically unlock the potential of Ho3+-doped InF3 fiber for efficient ∼3.2 ​μm laser generation (from the 5F4,5S2→5F5 transition), by employing a novel dual-wavelength pumping scheme...

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Effective approach for conformal subarray design based on maximum entropy of planar mappings

In this paper, an effective algorithm for optimizing the subarray of conformal arrays is proposed. The method first divides the conformal array into several first-level subarrays. It uses the X algorithm...

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An approach to estimate tree height using PolInSAR data constructed by the Sentinel-1 dual-pol SAR data and RVoG model

We estimate tree heights using polarimetric interferometric synthetic aperture radar (PolInSAR) data constructed by the dual-polarization (dual-pol) SAR data and random volume over the ground (RVoG)...

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Global-local combined features to detect pain intensity from facial expression images with attention mechanism

The estimation of pain intensity is critical for medical diagnosis and treatment of patients. With the development of image monitoring technology and artificial intelligence, automatic pain assessment...

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Source localization based on field signatures: Laboratory ultrasonic validation

Location awareness in wireless networks is essential for emergency services, navigation, gaming and many other applications. This article presents a method for source localization based on measuring...

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Sparse antenna array design methodologies: A review

Designing a sparse array with reduced transmit/receive modules (TRMs) is vital for some applications where the antenna system's size, weight, allowed operating space, and cost are limited. Sparse arrays...

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De-biased knowledge distillation framework based on knowledge infusion and label de-biasing techniques

Knowledge distillation, as a pivotal technique in the field of model compression, has been widely applied across various domains. However, the problem of student model performance being limited due...

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A 27 ​GHz, simple 2-bit 1×8 phased array

This study demonstrates a simple 2-bit phased array operating at 27 ​GHz that supports one-dimensional beam scanning with left-handed circular polarization (LHCP). The antenna is constructed using a...

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Electromagnetic scattering and imaging simulation of extremely large-scale sea-ship scene based on GPU parallel technology

Aiming to solve the bottleneck problem of electromagnetic scattering simulation in the scenes of extremely large-scale seas and ships, a high-frequency method by using graphics processing unit (GPU)...

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Enhancing personalized exercise recommendation with student and exercise portraits

The exercise recommendation system is emerging as a promising application in online learning scenarios, providing personalized recommendations to assist students with explicit learning directions. Existing...

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Data augmentation method for insulators based on Cycle GAN

Data augmentation is an important task of using existing data to expand data sets. Using generative countermeasure network technology to realize data augmentation has the advantages of high-quality...

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Miniaturized power detection module operating in millimeter wave band

The miniaturized broadband detection module can be embedded into the microwave application system such as the front end of the transmitter to detect the power or other parameters in real time. It is...

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CNN-LSTM based incremental attention mechanism enabled phase-space reconstruction for chaotic time series prediction

To improve the prediction accuracy of chaotic time series and reconstruct a more reasonable phase space structure of the prediction network, we propose a convolutional neural network (CNN)-long short-term...

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Machine learning algorithm partially reconfigured on FPGA for an image edge detection system

Unmanned aerial vehicles (UAVs) have been widely used in military, medical, wireless communications, aerial surveillance, etc. One key topic involving UAVs is pose estimation in autonomous navigation....

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Efficient ECG classification based on Chi-square distance for arrhythmia detection

This study introduces a new classifier tailored to address the limitations inherent in conventional classifiers such as K-nearest neighbor (KNN), random forest (RF), decision tree (DT), and support...

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