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Resolution-Aware Deep Learning with Feature Space Optimization for Reliable Identity Verification in Electronic Know Your Customer Processes
Published 2025-05-01“…In modern digital transactions involving government agencies, financial institutions, and commercial enterprises, reliable identity verification is essential to ensure security and trust. …”
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T lymphocyte-targeted immune checkpoint modulation in glioma
Published 2020-05-01“…This review summarizes our current understanding of T lymphocyte-modulating checkpoint molecules as it pertains to glioma with the hope for a renewed focus on the most promising therapeutic strategies.…”
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Channel and Spatial Attention in Chest X-Ray Radiographs: Advancing Person Identification and Verification with Self-Residual Attention Network
Published 2024-11-01“…Discriminative feature embedding is essential for large-scale image verification, especially in applying chest X-ray radiographs for identity identification and verification. …”
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Development and verification of a convolutional neural network-based model for automatic mandibular canal localization on multicenter CBCT images
Published 2025-08-01“…Abstract Objectives Development and verification of a convolutional neural network (CNN)-based deep learning (DL) model for mandibular canal (MC) localization on multicenter cone beam computed tomography (CBCT) images. …”
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Design and Optimization of a Phase-Tunable Mixer Based on Cascaded Dual-Drive Mach–Zehnder Modulator Considering Nonlinear Behavior of Modulator
Published 2025-01-01“…This paper proposes a novel phase-tunable mixer based on a cascaded dual-drive Mach–Zehnder modulator (DDMZM), designed to address the critical need for simultaneous frequency mixing and precise phase control in phased array antennas. …”
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Metamaterial based tri-band compact MIMO antenna system for 5G IoT applications with machine learning performance verification
Published 2025-07-01“…The compact antenna module measures 36 × 36 × 1.6 mm2 and uses a Rogers RT-5880 substrate. …”
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E-guided discovery module for cartesian coordinates topic in junior high school
Published 2024-12-01“…Qualitative data analysis was conducted through documentation and interviews, which were then organized into data reduction, display, and verification steps. The results indicate that the E-Guided Discovery Module effectively enhances students' interest and understanding of mathematical concepts, although several areas require technical and pedagogical improvements. …”
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State Identification of Charging Module Based on SN‐EMD‐SSEE and DBO‐HKELM
Published 2025-03-01“…In modeling, DBO‐HKELM identification model is constructed by improving ELM (Extreme Learning Machine) and optimizing parameters based on DBO 60 state characteristics values and 24 states including normal state, which are, respectively, used as the input and output of the identification model. In verification, the proposed state identification method based on SN‐EMD‐SSEE and DBO‐HKELM is embedded into the control chip of charging module to obtain fault state code in real time. …”
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The development of a novel virtual reality simulation module for canine laparoscopic ovariectomy
Published 2025-06-01“…A validity investigation study has been initiated to evaluate the module as an assessment tool.…”
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Locality-guided based optimization method for bounded model checker
Published 2018-03-01“…For software model checking,approaches that combine with different kind of verification methods are now under research.The key to improve scale and complexity of verifiable software is handling the method for abstraction widening and strengthening wisely and precisely.To archive that,using extra knowledge that extracted from programming pattern or learned through verifying procedure to help eliminate the redundant state has been proved effective.Definition of program locality was given.It took the important role in accelerating software verification,then the strategy was raised and an algorithm was implemented to take advantage of program locality.This method exploits the features of modern BMC (bounded model checker) and scales up the capability of its power in large scale and comprehensive software modules.…”
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Study on method of distinguishing influence factors for vector modulation errors measurement
Published 2012-07-01“…In order to distinguish between the intrinsic modulation errors of vector signal generator and the measurement errors of vector signal analyzer,a method based on experimental measurement and analytical calculation was proposed,then numberical simulation and actual measurement were presented for verification.This method can not only improve accuracy and reliability of calibration for vector signal generator and vector signal analyzer,but also provide some theoretical basis for the establishment of traceability in the measurement of digital modulation quality parameters.…”
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