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4221
Comparative Evaluation of Q-scan and Disclosing Solution in Plaque Detection: A Comparative Study
Published 2024-12-01“…The objective of the study was to evaluate and compare the ability of plaque detection of fluorescence plaque detecting system Q scan with the traditionally used plaque disclosing solution. …”
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4222
SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis
Published 2025-01-01Subjects: Get full text
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4223
Design of a Drowsiness Prevention Helmet with Vibration and IoT-Based Theft Detection Alarms
Published 2024-03-01“…The helmet theft detector uses a Sharp GP2Y0A21 sensor that can only detect object distances up to 10 cm. …”
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4224
TEMPO-Functionalized Nanoporous Au Nanocomposite for the Electrochemical Detection of H2O2
Published 2018-01-01“…A wide linear range with a detection limit of 7.8 × 10-7 M and a higher sensitivity of 110.403 μA mM-1cm-2 were obtained for detecting H2O2 at optimal conditions.…”
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4225
Research on wireless coverage area detection technology for 5G mobile communication networks
Published 2017-12-01“…The current method for coverage detection is drive test, which is based on mobile terminals. …”
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4226
Application research on the time–frequency analysis method in the quality detection of ultrasonic wire bonding
Published 2021-05-01“…Therefore, a time–frequency analysis method was proposed to detect and identify fault bonds. First, the bonding voltage and current signals were acquired from the ultrasonic generator. …”
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4227
Psychosocial conflicts and defense mechanisms in leadership: psychoanalytic view in Elizabeth: The Golden Age movie
Published 2025-02-01Subjects: Get full text
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4228
A split intein and split luciferase-coupled system for detecting protein-protein interactions
Published 2024-12-01“…We previously developed a sensitive method, Split Intein-Mediated Protein Ligation (SIMPL), for detecting binary PPIs via irreversible splicing of the interacting proteins being investigated. …”
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4229
Automated and Reproducible Detection of Vascular Endothelial Growth Factor (VEGF) in Renal Tissue Sections
Published 2019-01-01“…Subsequently, machine learning classified the cells as VEGF+ and VEGF- cells. Results. VEGF was detected and cells were counted with high sensitivity and specificity. …”
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4230
Load Deflection Analysis of Beam-Column using Total Potential Energy (TPE) Principle
Published 2025-02-01Subjects: Get full text
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4231
TAD: A Large-Scale Benchmark for Traffic Accidents Detection From Video Surveillance
Published 2025-01-01“…Automatic traffic accident detection has attracted the attention of the machine vision community for the rapid development of autonomous intelligent transportation systems (ITS). …”
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4232
Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays
Published 2024-10-01“…Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physicians in the comprehensive detection and localization of abnormalities on chest X-rays. …”
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4233
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4234
Application of PS2M Aptamer as Receptor Layer for Electrochemical Detection of Lead Ions
Published 2025-01-01“…Recently, it was shown that lead ions can also be detected using affinity-based biosensors, namely, using aptamers as recognition elements. …”
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4235
Detection of Corn Quality Based on Surface-Enhanced Raman Spectroscopy and Electronic Nose Technology
Published 2025-01-01“…This study explored a corn quality detection method based on surface-enhanced Raman spectroscopy (SERS) and electronic nose technology. …”
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4236
App-DDoS detection method using partial binary tree based SVM algorithm
Published 2018-03-01“…As it ignored the detection of ramp-up and pulsing type of application layer DDoS (App-DDoS) attacks in existing flow-based App-DDoS detection methods,an effective detection method for multi-type App-DDoS was proposed.Firstly,in order to fast count the number of HTTP GET for users and further support the calculation of feature parameters applied in detection method,the indexes of source IP address in multiple time windows were constructed by the approach of Hash function.Then the feature parameters by combining SVM classifiers with the structure of partial binary tree were trained hierarchically,and the App-DDoS detection method was proposed with the idea of traversing binary tree and feedback learning to distinguish non-burst normal flow,burst normal flow and multi-type App-DDoS flows.The experimental results show that compared with the conventional SVM-based and naïve-Bayes-based detection methods,the proposed method has more excellent detection performance and can distinguish specific App-DDoS types through subdividing attack types and training detection model layer by layer.…”
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4237
Metal nanocluster-enhanced photoluminescence for head and neck cancer detection: A promising approach
Published 2024-06-01Get full text
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4238
Community hydric monitoring: homegrown knowledge as local and environmental defense in Argentina, Peru and Colombia
Published 2021-01-01“…These exchanges aim to generate counter-narratives about water quality, as well as to develop a defense strategy against mining. Here we focus on the research done between 2018 and 2020 in Argentina (Veladero), Peru (Antapaccay- Expansión Tintaya) and Colombia (Cerrejón). …”
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4239
Study on Deflection of Surrounding Rock Force Chain and Disaster Mechanism of Instability in Deep Stope
Published 2020-01-01“…The mechanism of force chain deflection and instability-caused disaster in the deep surrounding rock of large-scale stopes was examined in this study using theoretical analyses, laboratory experiments, PFC3D numerical simulations, and other comprehensive research methods based on a discrete element theory that included force chain research as the main line. …”
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4240
Using Sensor Network in Motion Detection Based on Deep Full Convolutional Network Model
Published 2021-01-01“…Aiming at the shortcomings of traditional moving target detection methods in complex scenes such as low detection accuracy and high complexity, and not considering the overall structure information of the video frame image, this paper proposes a moving-target detection based on sensor network. …”
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