This paper aims to study and design an experiment based on the Pulse Current Method (PCM) for measuring the AC loss of superconductors. This method overcomes the limitations of traditional measurement techniques, part...
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Fiber Bragg Grating (FBG) sensors are widely used for dual-parameter monitoring of strain and temperature. Traditional demodulation methods, however, are often complex and costly. In this work, we present a demodulati...
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The detection algorithms for various engineering structure cracks often suffer from missed detections, false positives, and low accuracy. This paper proposes an improved crack detection model based on Yolov11, integra...
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This paper proposes a new technique for designing bandpass filters based on low-temperature cofired ceramic (LTCC) technology. The proposed method innovatively represents the conductor shape contour of the LTCC bandpa...
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Aiming at the current problem that the accurate measurement method of the joint angle of the robotic arm relies on the known position and attitude of the end of the robotic arm and the structural dimensions of the rob...
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In today’s healthcare landscape, where participation is widespread, the need for secure and efficient record management is evident. However, many healthcare organizations, particularly in regions like India, still re...
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This paper addresses the inefficiencies in human-computer interaction (HCI) within manned ground equipment interfaces, which stem from empirical and subjective design approaches that lead to suboptimal observation and...
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In the study of voiceprint recognition, the model parameters are large, the robustness is poor, and the features of voiceprint are not fully utilized. In this paper, an improved method based on Densenet framework for ...
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Diabetes is a prevalent chronic health disease affecting millions of people over the world. Early detection and effective management contribute in preventing its complications. This study investigates the use of machi...
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At present, the prediction effect of using deep learning to predict futures prices is usually not good. A Multi Contract LSTM model (MC-LSTM) was designed and implemented to predict futures prices by utilizing actual ...
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