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Artykuły w czasopismach na temat „Drift diagnosis”

Autor: Grafiati

Data publikacji: 25 stycznia 2025

Data aktualizacji: 31 lipca 2025

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1

Danko, G., Cs Mczci, G. Zhan, J. Daemen, and P. Mousset-Jones. "Integral Robotic Mine Drift Roof Diagnosis." IFAC Proceedings Volumes 28, no. 17 (1995): 29–35. http://dx.doi.org/10.1016/s1474-6670(17)46741-3.

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Reidenberg, Marcus M. "Diagnosis Drift and Its Contribution to Polypharmacy." Clinical Pharmacology & Therapeutics 103, no. 4 (2017): 556–57. http://dx.doi.org/10.1002/cpt.858.

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Zhao, Zhibin, Jianfeng Xu, Yanlong Zang, and Ran Hu. "Adaptive Abnormal Oil Temperature Diagnosis Method of Transformer Based on Concept Drift." Applied Sciences 11, no. 14 (2021): 6322. http://dx.doi.org/10.3390/app11146322.

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The diagnosis of abnormal transformer oil temperature is of great significance to guarantee the normal operation of the transformer. Due to concept drift, the oil temperature abnormal diagnosis of the oil-immersed main power transformer is usually unstable via the classic data mining method. Thus, this paper proposes an adaptive abnormal oil temperature diagnosis method (AAOTD) of the transformer based on concept drift. First, the bagging ensemble learning method was used to predict the oil temperature. Then, abnormal diagnosis was performed based on the difference between the predicted oil te

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Cheung, Allen, and Anne S. Kiremidjian. "Development of a Rotation Algorithm for Earthquake Damage Diagnosis." Earthquake Spectra 30, no. 4 (2014): 1381–401. http://dx.doi.org/10.1193/012212eqs016m.

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In the attempt to develop simple damage detection algorithms that can be embedded in structural monitoring systems for rapid condition assessment following a large earthquake, a new algorithm is developed that characterizes structural damage, based on the residual drift following a strong motion. The residual drift is estimated from rotations computed from strong motion structural response acceleration measurements taken at key points on the structure. The Paulay and Priestley (1992) plastic hinge model is used to evaluate the residual drift, given rotation measurements at points on a single c

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5

Bhateja, Vikrant, Rishendra Verma, Rini Mehrotra, and Shabana Urooj. "A Non-Linear Approach to ECG Signal Processing using Morphological Filters." International Journal of Measurement Technologies and Instrumentation Engineering 3, no. 3 (2013): 46–59. http://dx.doi.org/10.4018/ijmtie.2013070104.

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Analysis of the Electrocardiogram (ECG) signals is the pre-requisite for the clinical diagnosis of cardiovascular diseases. ECG signal is degraded by artifacts such as baseline drift and noises which appear during the acquisition phase. The effect of impulse and Gaussian noises is randomly distributed whereas baseline drift generally affects the baseline of the ECG signal; these artifacts induce interference in the diagnosis of cardio diseases. The influence of these artifacts on the ECG signals needs to be removed by suitable ECG signal processing scheme. This paper proposes combination of no

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6

Rahpoe, N., M. Weber, A. V. Rozanov, et al. "Relative drifts and biases between six ozone limb satellite measurements from the last decade." Atmospheric Measurement Techniques 8, no. 10 (2015): 4369–81. http://dx.doi.org/10.5194/amt-8-4369-2015.

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Abstract. As part of European Space Agency's (ESA) climate change initiative, high vertical resolution ozone profiles from three instruments all aboard ESA's Envisat (GOMOS, MIPAS, SCIAMACHY) and ESA's third party missions (OSIRIS, SMR, ACE-FTS) are to be combined in order to create an essential climate variable data record for the last decade. A prerequisite before combining data is the examination of differences and drifts between the data sets. In this paper, we present a detailed analysis of ozone profile differences based on pairwise collocated measurements, including the evolution of the

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Pezheva, Madina Kh, Kazbek K. Umarov, Andrey V. Yakimov, and Sergey V. Redkin. "Assessment of the first food of hydrobionts in the ecosystems of small rivers of Kabardino-Balkaria (on the example of the Nalchik river)." Veterinariya, Zootekhniya i Biotekhnologiya 12/1, no. 121 (2023): 122–36. http://dx.doi.org/10.36871/vet.zoo.bio.202312114.

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The article provides information about the drift of the natural food base of fish. The species composition of hydrobionts is given, the role of drift as the first food for river fish species is shown, their role in the diagnosis of the current ecological state of the small Nalchik river is determined.

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Rank, Wendi. "Assessing for pronator drift." Nursing 43, no. 4 (2013): 66. http://dx.doi.org/10.1097/01.nurse.0000428333.01107.94.

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Langenegger, Elisabeth, and Christian Lanz. "Drift injury - postmortal lesions can lead to a false diagnosis." Anthropologischer Anzeiger 63, no. 1 (2005): 103–6. http://dx.doi.org/10.1127/anthranz/63/2005/103.

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Kumar, Jambi Ratna Raja, and Prateeksha Chouksey. "Gas Sensor Array Drift in an E-Nose System: A Dataset for Machine Learning Applications." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 6 (2023): 167–71. http://dx.doi.org/10.17762/ijritcc.v11i6.7343.

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Gas sensor arrays are widely used in various applications such as environmental monitoring, industrial process control, and medical diagnosis. However, one of the main challenges in using gas sensor arrays is their tendency to drift over time, which can significantly affect their accuracy and reliability. In this research paper, we present a gas sensor array drift dataset that can be used to evaluate and develop drift compensation techniques. The dataset consists of measurements from an array of eight metal oxide gas sensors exposed to six different target gases at varying concentrations over

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11

Cui, Rang, Tiancheng Ma, Wenjie Zhang, et al. "A New Dual-Mass MEMS Gyroscope Fault Diagnosis Platform." Micromachines 14, no. 6 (2023): 1177. http://dx.doi.org/10.3390/mi14061177.

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MEMS gyroscopes are one of the core components of inertial navigation systems. The maintenance of high reliability is critical for ensuring the stable operation of the gyroscope. Considering the production cost of gyroscopes and the inconvenience of obtaining a fault dataset, in this study, a self-feedback development framework is proposed, in which a dualmass MEMS gyroscope fault diagnosis platform is designed based on MATLAB/Simulink simulation, data feature extraction, and classification prediction algorithm and real data feedback verification. The platform integrates the dualmass MEMS gyro

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12

PULLEN, RICHARD L. "Neurologic assessment for pronator drift." Nursing 34, no. 3 (2004): 22. http://dx.doi.org/10.1097/00152193-200403000-00019.

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Wu, Zhiwu, Tianfu Huang, Chunguang Wang, Xiang Wu, and Yanzhao Tu. "Transformer Fault Diagnosis and Location Method Based on Fault Tree Analysis." Scalable Computing: Practice and Experience 25, no. 5 (2024): 3587–93. http://dx.doi.org/10.12694/scpe.v25i5.3182.

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Fiber optical current transformer (FOCT) is widely used in power systems for fault diagnosis and analysis, which can improve its operational reliability. Construct fault modes and fault trees based on fault data of all fiber current transformers, and construct a fault feature space. Constructing a fault diagnosis expert system using fault trees and fault feature space clustering centers to achieve accurate diagnosis of fault types, patterns, and components. The proposed method was validated using fault data and case studies of all fiber current transformers in a regional power grid, and the re

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14

Straumann, D., D. S. Zee, and D. Solomon. "Three-Dimensional Kinematics of Ocular Drift in Humans With Cerebellar Atrophy." Journal of Neurophysiology 83, no. 3 (2000): 1125–40. http://dx.doi.org/10.1152/jn.2000.83.3.1125.

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One of the signs of the cerebellar ocular motor syndrome is the inability to maintain horizontal and vertical fixation. Typically, in the presence of cerebellar atrophy, the eyes show horizontal gaze-evoked and vertical downbeat nystagmus. We investigated whether or not the cerebellar ocular motor syndrome also includes a torsional drift and, specifically, if it is independent from the drift in the horizontal-vertical plane. The existence of such a torsional drift would suggest that the cerebellum is critically involved in maintaining the eyes in Listing's plane. Eighteen patients with cerebel

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Inacio, Maurilio, Andre Lemos, and Walmir Caminhas. "Fault Diagnosis with Evolving Fuzzy Classifier Based on Clustering Algorithm and Drift Detection." Mathematical Problems in Engineering 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/368190.

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The emergence of complex machinery and equipment in several areas demands efficient fault diagnosis methods. Several fault diagnosis methods based on different theories and approaches have been proposed in the literature. According to the concept of intelligent maintenance, the application of intelligent systems to accomplish fault diagnosis from process historical data has been shown to be a promising approach. In problems involving complex nonstationary dynamic systems, an adaptive fault diagnosis system is required to cope with changes in the monitored process. In order to address fault dia

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16

Hu, Jie, Tengfei Huang, Jiaopeng Zhou, and Jiawei Zeng. "Electronic Systems Diagnosis Fault in Gasoline Engines Based on Multi-Information Fusion." Sensors 18, no. 9 (2018): 2917. http://dx.doi.org/10.3390/s18092917.

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The rapid development of electronic techniques in automobile has led to an increase of potential safety hazards, thus, a strong on-board diagnostic (OBD) system is desperately needed. To solve the problem of OBD insensitivity to manufacture errors or aging faults, the paper proposes a novel multi information fusion method. The diagnostic model is composed of a data fusion layer, feature fusion layer, and decision fusion layer. They are based on the back propagation (BP) neural network, support vector machine (SVM), and evidence theory, respectively. Algorithms are mainly focused on the reliabi

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17

Luo, Xiang Yan, Jun Bin Cao, and Jun Qing Cao. "Airborne Oxygen-Making System Drift Oxygen Sensor Characteristics for Fault Diagnosis Strategy." Applied Mechanics and Materials 347-350 (August 2013): 371–75. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.371.

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This paper focuses on airborne oxygen-making system shortcomings of oxygen sensor characteristic drift in, proposes a method of fault diagnosis. Oxygen sensor with a Wavelet packet analysis of feature extraction, based on wavelet neural network method to determine whether the sensor has failed, and sensor to detect hardware and software design are given.

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18

Pang, Fubin, Lihui Wang, Haifeng Wu, and Long Wan. "Online diagnosis algorithm for random drift error in fiber optic current sensor." Optical Fiber Technology 68 (January 2022): 102824. http://dx.doi.org/10.1016/j.yofte.2022.102824.

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Shan, Jiazeng, Henry T. Y. Yang, Weixing Shi, Daniel Bridges, and Paul K. Hansma. "Structural Damage Diagnosis Using Interstory Drift–Based Acceleration Feedback with Test Validation." Journal of Engineering Mechanics 139, no. 9 (2013): 1185–96. http://dx.doi.org/10.1061/(asce)em.1943-7889.0000531.

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Nix, Cindy, Gael Cobraiville, Marie-Jia Gou, and Marianne Fillet. "Potential of Single Pulse and Multiplexed Drift-Tube Ion Mobility Spectrometry Coupled to Micropillar Array Column for Proteomics Studies." International Journal of Molecular Sciences 23, no. 14 (2022): 7497. http://dx.doi.org/10.3390/ijms23147497.

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Proteomics is one of the most significant methodologies to better understand the molecular pathways involved in diseases and to improve their diagnosis, treatment and follow-up. The investigation of the proteome of complex organisms is challenging from an analytical point of view, because of the large number of proteins present in a wide range of concentrations. In this study, nanofluidic chromatography, using a micropillar array column, was coupled to drift-tube ion mobility and time-of-flight mass spectrometry to identify as many proteins as possible in a protein digest standard of HeLa cell

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21

Tran, Quang Thinh, and Sy Dzung Nguyen. "Bearing Fault Diagnosis Based on Measured Data Online Processing, Domain Fusion, and ANFIS." Computation 10, no. 9 (2022): 157. http://dx.doi.org/10.3390/computation10090157.

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Processing noise online in sensors-based measurement data (SMD) and mitigating the effect of domain drift are always challenges. As a result, it negatively impacts the effectiveness and feasibility of data-driven model (DDM)-based mechanical-system fault identification (MFI). Here, we propose an online bearing fault diagnosis method named ANFIS-BFDM by using an adaptive neurofuzzy inference system (ANFIS). Reduction in the influence of domain drift between the source domain and target domain (DDSTD) is considered in both the data processing and fault identification. Online solutions for prepro

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22

Al Balushi, Mitha, Fatima Al Maskari, Syed Javaid, and Amar Ahamd. "Drift in Depression Prevalence Disorder in Gulf Cooperation Council (GCC) Countries Over 30 Years." BJPsych Open 10, S1 (2024): S48—S49. http://dx.doi.org/10.1192/bjo.2024.175.

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AimsDepression disorder is a major public health problem and a serious medical illness which negatively affects people's daily life. The WHO's International Classification of Diseases (ICD–10) defines this set of disorders ranging from mild to moderate to severe. Estimated annual percentage change (EAPC) is a useful statistic that is used to measure trends in rates over time-period.The aim of this study was to compute the drift in depression prevalence disorder using the EAPC of the prevalence of depression disorder between 1990 to 2019 with corresponding 95% confidence intervals (95% CI) acro

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23

Tinati, Mohammad Ali, and Behzad Mozaffary. "A Wavelet Packets Approach to Electrocardiograph Baseline Drift Cancellation." International Journal of Biomedical Imaging 2006 (2006): 1–9. http://dx.doi.org/10.1155/ijbi/2006/97157.

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Baseline wander elimination is considered a classical problem. In electrocardiography (ECG) signals, baseline drift can influence the accurate diagnosis of heart disease such as ischemia and arrhythmia. We present a wavelet-transform- (WT-) based search algorithm using the energy of the signal in different scales to isolate baseline wander from the ECG signal. The algorithm computes wavelet packet coefficients and then in each scale the energy of the signal is calculated. Comparison is made and the branch of the wavelet binary tree corresponding to higher energy wavelet spaces is chosen. This

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Mamedli, Siusan N., Marina A. Chekalova, and Liudmila A. Meshcheriakova. "Modern approaches to the diagnosis of malignant trophoblastic tumors." Journal of Modern Oncology 23, no. 2 (2021): 345–48. http://dx.doi.org/10.26442/18151434.2021.2.200478.

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Malignant trophoblastic tumors (TO) include invasive and metastatic cystic drift, choriocarcinoma, TO of the placental bed, and epithelioid TO. They are rare, mainly in women of reproductive age, and most importantly, they are always associated with pregnancy. To date, the Blokhin National Medical Research Center of Oncology has accumulated a large and unique experience of modern diagnostics and treatment of patients with various forms of malignant TO. An obligatory stage of the examination is ultrasound diagnostics of the pelvic organs. In addition, performing an ultrasound examination during

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Chew, Christopher, and Supriya Mannepalli. "COVID-19: No Guaranteed Protection from Future Infection after the Initial Diagnosis." Case Reports in Infectious Diseases 2021 (March 30, 2021): 1–8. http://dx.doi.org/10.1155/2021/6617719.

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The world of microbiology is vast in nature, and viruses continue to be a subset containing a lot of unknowns. Initial infection with certain viruses, such as varicella zoster virus and measles, allows for development of lifelong immunity; on the other hand, the influenza virus requires yearly vaccination, which may not provide adequate immunity. This can be attributed to antigenic shift and drift, rendering previously made antibodies ineffective against new strains of influenza. This article describes six cases of patients who presented with mild acute respiratory symptoms and tested positive

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Ye, Zhenyi, Yuan Liu, and Qiliang Li. "Recent Progress in Smart Electronic Nose Technologies Enabled with Machine Learning Methods." Sensors 21, no. 22 (2021): 7620. http://dx.doi.org/10.3390/s21227620.

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Machine learning methods enable the electronic nose (E-Nose) for precise odor identification with both qualitative and quantitative analysis. Advanced machine learning methods are crucial for the E-Nose to gain high performance and strengthen its capability in many applications, including robotics, food engineering, environment monitoring, and medical diagnosis. Recently, many machine learning techniques have been studied, developed, and integrated into feature extraction, modeling, and gas sensor drift compensation. The purpose of feature extraction is to keep robust pattern information in ra

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Marzanova, Saida N., Davud A. Devrishov, Nurbiy S. Marzanov, et al. "DNA-diagnosis of alleles at the beta-casein locus (CSN2) in dairy breeds of cattle." Veterinariya, Zootekhniya i Biotekhnologiya 12/2, no. 132 (2024): 112–25. https://doi.org/10.36871/vet.zoo.bio.202412212.

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The article is devoted to DNA diagnosis of 4 alleles in the beta-casein locus, as well as allelotype estimation in different dairy breeds. A total of 615 cows and heifers of 9 breeds belonging to 4 genealogical roots were used in the experiment. The predominance of genotypes involving A1 alleles at the beta-casein locus in the breeds was found. It is shown that CSN2A1 and CSN2B alleles are common where carrier bulls were used. Such factors as genetic genealogy of the bull, the effect of the founder of the line, the drift of mutant or normal alleles influence the formation of the allelotype of

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Liang, Guo Zhuang, Su Fang Sun, and Jing Xia Wei. "An Approach Based on Wavelet Transform to Remove the Noises of ECG." Advanced Materials Research 562-564 (August 2012): 1899–902. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1899.

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In the acquisition process of ECG, noise, which mainly consists of power line interference baseline drift and the EMG interference, often exists due to the instrument, the human body and other aspects. This noise mixed with the ECG, will causes ECG distortion, which makes the whole ECG waveform blurred, and impacts the subsequent signal processing and analysis. In this paper, Coif4 wavelet is used to make the ECG decomposed by 8 scale; at the same time, the wavelet decomposition and reconstruction method is used to remove baseline drift, and then the improved wavelet threshold method is used t

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Joo, Jihoon E., Mark Clendenning, Ee Ming Wong, et al. "DNA Methylation Signatures and the Contribution of Age-Associated Methylomic Drift to Carcinogenesis in Early-Onset Colorectal Cancer." Cancers 13, no. 11 (2021): 2589. http://dx.doi.org/10.3390/cancers13112589.

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We investigated aberrant DNA methylation (DNAm) changes and the contribution of ageing-associated methylomic drift and age acceleration to early-onset colorectal cancer (EOCRC) carcinogenesis. Genome-wide DNAm profiling using the Infinium HM450K on 97 EOCRC tumour and 54 normal colonic mucosa samples was compared with: (1) intermediate-onset CRC (IOCRC; diagnosed between 50–70 years; 343 tumour and 35 normal); and (2) late-onset CRC (LOCRC; >70 years; 318 tumour and 40 normal). CpGs associated with age-related methylation drift were identified using a public dataset of 231 normal mucosa sam

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Yam, Jason C. S., Gabriela S. L. Chong, Patrick K. W. Wu, Ursula S. F. Wong, Clement W. N. Chan, and Simon T. C. Ko. "Predictive Factors Affecting the Short Term and Long Term Exodrift in Patients with Intermittent Exotropia after Bilateral Rectus Muscle Recession and Its Effect on Surgical Outcome." BioMed Research International 2014 (2014): 1–4. http://dx.doi.org/10.1155/2014/482093.

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Purpose. To determine the predictive factors that affect short term and long term postoperative drift in intermittent exotropia after bilateral lateral rectus recession and to evaluate its effect on surgical outcome.Methods. Retrospective review of 203 patients with diagnosis of intermittent exotropia, who had surgical corrections with more than 3 years of followup. Different preoperative parameters were obtained and evaluated using Pearson’s correlation analysis.Results. The proportion of exodrift increased from 62% at 6 weeks to 84% at 3 years postoperatively. The postoperative drift was4.3±

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Skurzok, Magdalena, and Aleksander Khreptak. "Efficiency analysis and promising applications of silicon drift detectors." Bio-Algorithms and Med-Systems 19, no. 1 (2023): 74–79. http://dx.doi.org/10.5604/01.3001.0054.1936.

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Silicon drift detectors (SDDs) stand as a groundbreaking technology with a diverse range of applications, particularly in the fields of physics and medical imaging. This paper provides an analysis of the performance of SDDs as detectors for X-ray radiation measurement, shedding light on their exceptional capabilities and potential in medical imaging. Compared to conventional detectors, SDDs have several notable advantages. Their high efficiency in capturing X-rays allows them to provide outstanding sensitivity and accuracy in detecting even low-energy X-rays. In addition, SDDs exhibit signific

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Wang, Lihui, Kai Zhao, Wenpeng Zhang, Jian Liu, and Fubin Pang. "Intelligent fault diagnosis algorithm for fiber optic current transformer." International Journal of Applied Electromagnetics and Mechanics 64, no. 1-4 (2020): 3–10. http://dx.doi.org/10.3233/jae-209301.

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Affected by environmental factors, the performance of fiber optic current transformer (FOCT) will deteriorate over a long period of time. Intelligent fault diagnosis algorithm of Long-Short Term Memory (LSTM) combing with Support Vector Machine (SVM) is an effective way to deal with FOCT failures. According to the characteristics of LSTM, a signal prediction model in FOCT based on LSTM is proposed by analyzing the historical data. The residual signal can be obtained by the prediction signal and the observed signal. Set the residual threshold to determine whether the FOCT has fault. With the re

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Gudagunti, Fleming Dackson, Logeeshan Velmanickam, Dharmakeerthi Nawarathna, and Ivan T. Lima. "Nucleotide Identification in DNA Using Dielectrophoresis Spectroscopy." Micromachines 11, no. 1 (2019): 39. http://dx.doi.org/10.3390/mi11010039.

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We show that negative dielectrophoresis (DEP) spectroscopy is an effective transduction mechanism of a biosensor for the detection of single nucleotide polymorphism (SNP) in a short DNA strand. We observed a frequency dependence of the negative DEP force applied by interdigitated electrodes to polystyrene microspheres (PM) with respect to changes in both the last and the second-to-last nucleotides of a single-strand DNA bound to the PM. The drift velocity of PM functionalized to single-strand DNA, which is proportional to the DEP force, was measured at the frequency range from 0.5 MHz to 2 MHz

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Huang, Kaifeng, Zegong Liu, and Dan Huang. "Fault Diagnosis for Methane Sensors using Generalized Regression Neural Network." International Journal of Online Engineering (iJOE) 12, no. 03 (2016): 42. http://dx.doi.org/10.3991/ijoe.v12i03.5443.

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To identify the hang, collision and drift faults of methane sensors, this paper presents a fault diagnosis method for methane sensors using multi-sensor information fusion. A methane concentration monitoring approximation model with multi-sensor information fusion is established based on generalized regression neural network (GRNN).The output of the neural network is compared with the measured value of the sensor to be diagnosed to obtain the variation curve of the residual error signal. Through the analysis of the variation tendency of the residual error signal, the fault status of a methane

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Miller, Eric Tyler, Lorna Kwan, Sandy Liu, and Isla Garraway. "Evaluating PSA nadir drift in high-risk and metastatic prostate cancer." Journal of Clinical Oncology 34, no. 2_suppl (2016): 310. http://dx.doi.org/10.1200/jco.2016.34.2_suppl.310.

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310 Background: Prostate cancer (PC) is a heterogeneous, clinically disparate, and often unpredictable disease whereby nearly 3% of patients present with bone metastatic PC (BMPC). Virtually all patients diagnosed with stage M1 disease fail to achieve complete remission and rapidly progress to castration-resistant PC (CRPC) and death (28% 5-year survival). Androgen deprivation therapy (ADT), the current standard of care for M1 disease, does not induce durable remissions. Improved understanding of tumor biology associated with lethal progression is desperately needed to guide clinical trials. M

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Xiao, Hongjun, Yiqi Liu, and Daoping Huang. "Semiadaptive Fault Diagnosis via Variational Bayesian Mixture Factor Analysis with Application to Wastewater Treatment." Journal of Control Science and Engineering 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/2034826.

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Mainly due to the hostile environment in wastewater plants (WWTPs), the reliability of sensors with respect to important qualities is often poor. In this work, we present the design of a semiadaptive fault diagnosis method based on the variational Bayesian mixture factor analysis (VBMFA) to support process monitoring. The proposed method is capable of capturing strong nonlinearity and the significant dynamic feature of WWTPs that seriously limit the application of conventional multivariate statistical methods for fault diagnosis implementation. The performance of proposed method is validated t

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Bax, Carmen, Stefano Prudenza, Giulia Gaspari, Laura Capelli, Fabio Grizzi, and Gianluigi Taverna. "Drift compensation on electronic nose data for non-invasive diagnosis of prostate cancer by urine analysis." iScience 25, no. 1 (2022): 103622. http://dx.doi.org/10.1016/j.isci.2021.103622.

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Tijms, Betty M., Sandra D. Mulder, Pieter Jelle Visser, Wiesje M. van der Flier, Philip Scheltens, and Charlotte E. Teunissen. "CSF AMYLOID BETA 1-42 LEVELS OBTAINED OVER 15 YEARS SHOW A DIAGNOSIS-DEPENDENT UPWARD DRIFT." Alzheimer's & Dementia 13, no. 7 (2017): P198—P199. http://dx.doi.org/10.1016/j.jalz.2017.07.060.

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Fuhrmann, A., I. A. Kane, M. A. Clare, et al. "Hybrid turbidite-drift channel complexes: An integrated multiscale model." Geology 48, no. 6 (2020): 562–68. http://dx.doi.org/10.1130/g47179.1.

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Abstract The interaction of deep-marine bottom currents with episodic, unsteady sediment gravity flows affects global sediment transport, forms climate archives, and controls the evolution of continental slopes. Despite their importance, contradictory hypotheses for reconstructing past flow regimes have arisen from a paucity of studies and the lack of direct monitoring of such hybrid systems. Here, we address this controversy by analyzing deposits, high-resolution seafloor data, and near-bed current measurements from two sites where eastward-flowing gravity flows interact(ed) with northward-fl

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Ng, Selina Ka-wai, Eric Yat-tung Chan, and Shuk-yu Leung. "Comparison of Calibration Drift in Transcutaneous Carbon Dioxide Monitoring Devices for Overnight Level 4 Sleep Study in Hong Kong Children." Pediatric Respirology and Critical Care Medicine 8, no. 2 (2024): 25–32. http://dx.doi.org/10.4103/prcm.prcm_21_23.

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Abstract Background: Level 4 sleep study with transcutaneous carbon dioxide (TcCO2) monitoring is a simple, non-invasive method to investigate sleep-related hypoventilation. However, calibration drift in the TcCO2 device weakens its reliability. Materials and Methods: We conducted a retrospective study of 61 patients from <1 to 20 years of age in our paediatric unit, who were assigned one of the two models of TcCO2 machines (SenTec Digital Monitoring System and Tina Radiometer Copenhagen TCM4 Transcutaneous Blood Gas Monitor) for performing the Level 4 sleep study, using capillary blood gas

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Bucci, Ovidio M., Gennaro Bellizzi, Sandra Costanzo, Lorenzo Crocco, Giuseppe Di Massa, and Rosa Scapaticci. "Experimental Characterization of Spurious Signals in Magnetic Nanoparticles Enhanced Microwave Imaging of Cancer." Sensors 21, no. 8 (2021): 2820. http://dx.doi.org/10.3390/s21082820.

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Magnetic nanoparticles enhanced microwave imaging relies on the capability of modulating the response of such nanocomponents at microwaves by means of a (low frequency) polarizing magnetic field. In medical imaging, this capability allows for the detection and imaging of tumors loaded with nanoparticles. As the useful signal is the one which arises from nanoparticles, it is crucial to remove sources of undesired disturbance to enable the diagnosis of early-stage tumors. In particular, spurious signals arise from instrumental drift, as well as from the unavoidable interaction between the polari

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Cheng, Chi-Cheng, Yih-Tun Tseng, Cheng-Da Wu, and Der-Lin Wang. "Fault Diagnosis of a High-Speed Cam-Driven Pin Assembly System." Advances in Materials Science and Engineering 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/5917408.

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A cam-driven mechanical system applied for pin assembly of connectors of electrical devices is studied in this paper. Three cooperative cams are involved in the tasks of approaching, cutting, insertion, and restoring. In order to meet the demanded productivity growth, the operation speed tends to be elevated. However, high running speeds usually cause deficiencies of pin dropping and inaccurate positioning. Diagnosis is therefore conducted to explore their physical reasons so that modification of future mechanical design can be made. Frequency responses of experimental measurements show greate

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Gao, Dianzhu, Jun Peng, Yunyou Lu, Rui Zhang, Yingze Yang, and Zhiwu Huang. "Sensor Fault Diagnosis of Locomotive Electro-Pneumatic Brake Using an Adaptive Unscented Kalman Filter." Journal of Sensors 2021 (December 16, 2021): 1–9. http://dx.doi.org/10.1155/2021/5407817.

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Normal operation of the pressure sensor is important for the safe operation of the locomotive electro-pneumatic brake system. Sensor fault diagnosis technology facilitates detection of sensor health. However, the strong nonlinearity and variable process noise of the brake system make the sensor fault diagnosis become challenging. In this paper, an adaptive unscented Kalman filter- (UKF-) based fault diagnosis strategy is proposed, aimed at detecting bias faults and drift faults of the equalizing reservoir pressure sensor in the brake system. Firstly, an adaptive UKF based on the Sage-Husa meth

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Kushwah, Ashi. "Adaptive Data Mining Approaches for Efficient Predictive Analytics in Healthcare." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 5057–62. https://doi.org/10.22214/ijraset.2025.68979.

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The healthcare sector is rapidly evolving with the integration of big data and machine learning. Predictive analytics enables early diagnosis, risk assessment, and efficient patient management. However, traditional data mining techniques are often static and cannot adapt to the continuous flow of medical data from wearable sensors, hospital systems, and remote diagnostics. This paper explores adaptive data mining approaches, emphasizing incremental learning, concept drift handling, and ensemble strategies. The study evaluates the performance of these approaches using real-world healthcare data

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Rahpoe, N., M. Weber, A. V. Rozanov, et al. "Relative drifts and biases between six ozone limb satellite measurements from the last decade." Atmospheric Measurement Techniques Discussions 8, no. 4 (2015): 3697–728. http://dx.doi.org/10.5194/amtd-8-3697-2015.

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Abstract. As part of ESA's climate change initiative high vertical resolution ozone profiles from three instruments all aboard ESA's Envisat (GOMOS, MIPAS, SCIAMACHY) in combination with ESA's third party missions (OSIRIS, SMR, ACE-FTS) are to be combined in order to create an essential climate variable data record for the last decade. A prerequisite before combining data is the examination of differences and drifts between the datasets. In this paper, we present a detailed analysis of ozone profile differences based on pairwise collocated measuerements, including the evolution of the differen

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Kermenov, Renat, Giacomo Nabissi, Sauro Longhi, and Andrea Bonci. "Anomaly Detection and Concept Drift Adaptation for Dynamic Systems: A General Method with Practical Implementation Using an Industrial Collaborative Robot." Sensors 23, no. 6 (2023): 3260. http://dx.doi.org/10.3390/s23063260.

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Industrial collaborative robots (cobots) are known for their ability to operate in dynamic environments to perform many different tasks (since they can be easily reprogrammed). Due to their features, they are largely used in flexible manufacturing processes. Since fault diagnosis methods are generally applied to systems where the working conditions are bounded, problems arise when defining condition monitoring architecture, in terms of setting absolute criteria for fault analysis and interpreting the meanings of detected values since working conditions may vary. The same cobot can be easily pr

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Kafili, D., J. Bashford, and S. Erigadoo. "P062 Agreement between arterial and capillary CO2 level in patients undergoing sleep study for suspected hypoventilation." SLEEP Advances 3, Supplement_1 (2022): A50—A51. http://dx.doi.org/10.1093/sleepadvances/zpac029.134.

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Abstract Background Measurement of arterial CO2 (PaCO2) is the gold standard for diagnosis of sleep hypoventilation during polysomnography. However, arterial PaCO2 measurement is a labour-intensive and painful. Previous audit in our unit demonstrated ABGs are often delayed or omitted when requested. Continuous monitoring of transcutaneous carbon dioxide (TcCO2) is often used as a surrogate marker of PaCO2, however caution should be applied in interpreting TcCO2 due to the “sensor drift” phenomenon. Arterialized capillary blood gas (CBG) measurement has been described in various settings and is

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Yang, Liman, Lianming Su, Yixuan Wang, et al. "Metal Roof Fault Diagnosis Method Based on RBF-SVM." Complexity 2020 (December 3, 2020): 1–12. http://dx.doi.org/10.1155/2020/9645817.

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Metal roof enclosure system is an important part of steel structure construction. In recent years, it has been widely used in large-scale public or industrial buildings such as stadiums, airport terminals, and convention centers. Affected by bad weather, various types of accidents on metal roofs frequently occurred, causing huge property losses and adverse effects. Because of wide span, long service life and hidden fault of metal roof, the manual inspection of metal roof has low efficiency, poor real-time performance, and it is difficult to find hidden faults. On the basis of summarizing the w

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Blesa, Joaquim, Joseba Quevedo, Vicenç Puig, Fatiha Nejjari, Raul Zaragoza, and Alejandro Rolán. "Fault Diagnosis and Prognosis of a Brushless DC motor using a Model-based Approach." PHM Society European Conference 5, no. 1 (2020): 9. http://dx.doi.org/10.36001/phme.2020.v5i1.1257.

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This paper proposes a model-based fault diagnosis and prognosis approach applied to brushless DC motors (BLDC). The objective is an early detection of mechanical and electrical faults in BLDC motors operating under a variety of operating conditions. The proposed model-based method is based on the evaluation of a set of residuals that are computed taking into account analytical redundancy relations. Fault diagnosis consist of two steps: First, checking if at least one of the residuals is inconsistent with the normal operation of the system. And, second, evaluating the set of the residuals that

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Dong, Zheng, and Zheifeng Xu. "Novel Electrochemical Biosensors for Detecting Specific Colorectal Cancer Biomarkers, Delving Into Advancements in Early Detection and Personalized Treatment Strategies." Biomedical Research Bulletin 2, no. 2 (2024): 79–86. https://doi.org/10.34172/biomedrb.2024.13.

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The rising incidence and mortality rates of cancer have spurred advancements in precise and effective early diagnosis methods. This study aimed to explore electrochemical biosensors for detecting colorectal cancer (CRC). Biomarkers are crucial in screening tests and the treatment, prognosis, and medical management of CRC. Quick and accurate detection of these biomarkers aids in the early diagnosis of CRC. The article reviews various electrochemical recognition methods for CRC biomarkers, including nanomaterials and immunosensors. It also discusses the construction of electrochemical biosensors

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