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Performance Optimization of Hg<sub>1-x</sub>Cd<sub>x</sub>Te Photovoltaic Detectors Under Strong Illumination Considering Temperature and Wavelength Dependencies
Published 2024-01-01“…Moreover, detectors with array electrodes design achieve a peak responsivity of 1.5 A/W under 200 W/cm<sup>2</sup> (∼1.8 mW) at room temperature, which is three times higher than the pre-optimized structure. Additionally, the peak detectivity increased by more than 20%. …”
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Research on Detection and Optimization Measures of High-speed EMU Power Network Voltage Interruption
Published 2020-09-01Get full text
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Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy Optimization
Published 2025-04-01“…The method integrates the variable action space and the composite reward function and achieves the balanced optimization of different types of defect detection performance by adjusting the scaling and translation amplitude of the detection region. …”
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Triboelectric pressure sensor using PDMS/β-Si₃N₄ micro-composite for plantar pressure detection
Published 2025-09-01Get full text
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Simulation Analysis of Near and Remote Field Pulse Eddy Current Composite Detection Method for Single-Metal Pipeline
Published 2025-01-01“…The near and remote field pulse eddy current composite detection method improves detection capabilities and accuracy, enabling precise identification of inner and outer wall defects.…”
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Optimizing Polyaniline-Based Gas Sensors for Hydrogen Sulfide Detection: The Crucial Role of Solvent Choice
Published 2024-04-01Get full text
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Optimization of the Microwave-Assisted Extraction Conditions for Phenolic Compounds from Date Seeds
Published 2024-11-01Get full text
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COVID-19 detection from chest CT images using optimized deep features and ensemble classification
Published 2024-12-01“…Hence, this research aims at a faster and automatic detection approach of COVID-19 disease from the chest Computed tomography (CT) scan images. …”
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Covalent organic framework/carbon black/molecularly imprinted polydopamine composites for the selective recognition and electrochemical detection of ciprofloxacin
Published 2025-07-01“…The specific recognition of CF by COF@CB@MPDA involved hydrogen bonding and van der Waals interactions. Under optimized conditions, the sensor showed a good linear relationship with CF concentration over the range of 5.0 × 10–7 and 1.0 × 10–4 mol/L, with a limit of detection (LOD) of 9.53 × 10–8 mol/L. …”
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Hybrid layer-by-layer assembly of AuNPs/NSF composite for electrochemical detection of miRNA-196a
Published 2024-11-01Get full text
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Enhanced electromechanical properties in SWCNT/GO-based flexible composites with preliminary healing capability for human motion detection
Published 2025-08-01“…These results underscore the potential of the developed SWCNT/GO@MS-PDMS and SWCNT/Ci-based adhesive composites for use in human motion detection, health monitoring, and stretchable electronics.…”
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Research on electromagnetic ultrasonic guided wave and eddy current composite detection method for cracks in aircraft aluminum alloy thin-wall sheet
Published 2025-06-01“…During the long-term service of aircraft, aluminum alloy thin-walled plates will generate a large number of cracks, which requires rapid and effective detection. Based on electromagnetic ultrasound and electromagnetic eddy current technology, an electromagnetic ultrasound guided wave eddy current composite detection method for aircraft aluminum alloy thin-walled plates is proposed, and the crack composite detection experiments on large-area aluminum alloy thin-walled plates are studied. …”
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Deploying UAV-based detection of bridge structural deterioration with pilgrimage walk optimization-lite for computer vision
Published 2024-12-01“…Explicitly designed for detecting underside deterioration in composite bridges, this system provides bridge management authorities and construction firms with a comprehensive tool. …”
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A multi-modal graph-based framework for Alzheimer’s disease detection
Published 2025-07-01“…Abstract We propose a compositional graph-based Machine Learning (ML) framework for Alzheimer’s disease (AD) detection that constructs complex ML predictors from modular components. …”
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