1,241 Result(s)
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Article
Long-short interest network with graph-based method for sequential recommendation
In recommender systems, sequence information is crucial. Sequence data contains user preferences and reflects the evolution of user interests over time. Therefore, how to utilize sequence information to captur...
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Article
Open AccessSensor organic light-emitting diode display, combining fingerprint and biomarker capturing
Display has been evolving its role as a conventional optical output device into an user interactive input and output device by harnessing various sensors and taking full advantage of its user interaction frien...
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Frequency-Dependence of Dynamic Resilient Modulus of Subgrade Clay: Mechanism and Modeling
Existing prediction model for the dynamic resilient modulus of subgrade clay ignores the effects from loading frequency. This study focuses on the frequency dependence of the dynamic resilient modulus of clay ...
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A novel F-RCNN based hand gesture detection approach for FMCW systems
With the rapid development of artificial intelligence, hand gesture detection has gradually become a research hotspot in human–computer interaction. However, the traditional hand gesture detection has low robu...
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A task unloading strategy of IoT devices using deep reinforcement learning based on mobile cloud computing environment
Aiming at the task unloading mode in cloud computing environment, the task unloading problem for IoT devices is studied. Through theoretical analysis, we can know that in the task unloading problem, it is usua...
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GPS attitude measurement with baseline constrained optimization algorithm for unpiloted car
Unpiloted technology requires attitude measurement from global positioning system to adjust the moving direction of car. However, the measurement result from the satellites suffer from fluctuation, which reduc...
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A low power clock generator with self-calibration for UHF RFID tags in intelligent terrestrial sensor networks
A low power clock generator with self-calibration for UHF RFID tags compatible with the EPCglobal Class-1 Gen-2 (EPC Gen2) standard is presented. By utilizing the timing information of the reader to tag (R ...
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Cracking on a nickel-based superalloy fabricated by direct energy deposition
Cracks have consistently been a significant challenge limiting the development of additive manufactured nickel-based superalloys. It is essential to investigate the location of cracks and their forming mechani...
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Scientific Objectives and Suggestions on Landing Site Selection of Manned Lunar Exploration Engineering
Focusing on cutting-edge scientific issues related to lunar exploration and applications, 9 overarching goals and 38 specific objectives for China's manned lunar exploration program have been proposed. Leverag...
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CBF-Based Distributed Model Predictive Control for Safe Formation of Autonomous Mobile Robots
A distributed model predictive control (DMPC) method based on robust control barrier function (RCBF) is developed to achieve the safe formation target of multi-autonomous mobile robot systems in an uncertain d...
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Improving RSW nugget diameter prediction method: unleashing the power of multi-fidelity neural networks and transfer learning
This research presents an innovative approach to accurately predict the nugget diameter in resistance spot welding (RSW) by leveraging machine learning and transfer learning methods. Initially, low-fidelity (L...
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The Chaos Sparrow Search Algorithm: Multi-layer and Multi-pass Welding Robot Trajectory Optimization for Medium and Thick Plates
The welding of medium and thick plates has a wide range of applications in the engineering field. Industrial welding robots are gradually replacing traditional welding operations due to their significant advan...
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Experimental investigations into the effect of process parameters on the machining quality for ITO conductive glass by using microgroove grinding
To investigate the effect of microscale grinding on the quality of ITO conductive glass, this paper conducted microscale grinding experiments on ITO conductive glass. The influence of process parameters on mac...
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Open AccessA DRL-based resource allocation for IRS-enhanced semantic spectrum sharing networks
Semantic communication and spectrum sharing are pivotal technologies in addressing the perennial challenge of scarce spectrum resources for the sixth-generation (6G) communication networks. Notably, scant atte...
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Dynamic Response of Sand Cushion Layer Isolation Concrete Liquid Storage Structure with X-Type Soft Steel-SMA Shock Absorber Considering Long (Short) Period Earthquake
To study the seismic response characteristics of sand cushion layer isolation Concrete Liquid Storage Structure (CLSS) with X-type soft steel-SMA (Shape Memory Alloy) shock absorbers under different seismic pe...
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Correction to: Integrated thermal error modeling and compensation of machine tool feed system using subtraction‑average‑based optimizer‑based CNN‑GRU neural network
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Open AccessEfficient relation extraction via quantum reinforcement learning
Most existing relation extraction methods only determine the relation type after identifying all entities, thus not fully modeling the interaction between relation-type recognition and entity mention detection...
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A stochastic SIHR epidemic model with general population-size dependent contact rate and Ornstein–Uhlenbeck process: dynamics analysis
The purpose of this work is to investigate a novel stochastic SIHR epidemic model, which includes a general incidence rate and mean-reversion Ornstein–Uhlenbeck process. Firstly, the existence of global positi...
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Article
UHSC flexural strength prediction using optimized three-phase classifier and improved feature selection
Experimental testing has shown that UHSC (Ultra-high-strength concrete) has a long-life expectancy, improved ductility, as well as extremely high mechanical properties, which are contributing to its growing po...
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Article
Robust control design for zero-sum differential games problem based on off-policy reinforcement learning technique
This paper aims to figure out the robust zero-sum differential game problem using an off-policy reinforcement learning technique. The robust system model is first established based on the nominal one. The cont...