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Journal articles on the topic 'Automatic Validation'

Author: Grafiati

Published: 18 April 2022

Last updated: 30 July 2025

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1

Branisavljević, N., D. Prodanović, and D. Pavlović. "Automatic, semi-automatic and manual validation of urban drainage data." Water Science and Technology 62, no. 5 (2010): 1013–21. http://dx.doi.org/10.2166/wst.2010.350.

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Advances in sensor technology and the possibility of automated long distance data transmission have made continuous measurements the preferable way of monitoring urban drainage processes. Usually, the collected data have to be processed by an expert in order to detect and mark the wrong data, remove them and replace them with interpolated data. In general, the first step in detecting the wrong, anomaly data is called the data quality assessment or data validation. Data validation consists of three parts: data preparation, validation scores generation and scores interpretation. This paper will

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Chen, Jiunn-Yeu, Wuu Yang, Bor-Yeh Shen, Yuan-Jia Li, and Wei-Chung Hsu. "Automatic validation for binary translation." Computer Languages, Systems & Structures 43 (October 2015): 96–115. http://dx.doi.org/10.1016/j.cl.2015.05.002.

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Takahashi, Hakuo, Masamichi Yoshika, and Toyohiko Yokoi. "Validation of two automatic devices." Blood Pressure Monitoring 20, no. 5 (2015): 286–90. http://dx.doi.org/10.1097/mbp.0000000000000127.

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Peti, Philip, Armin Timmerberg, Thomas Pfeffer, Simon Müller, and Christoph Rätz. "Automatic validation of diagnostic services." ATZelektronik worldwide 3, no. 6 (2008): 30–35. http://dx.doi.org/10.1007/bf03242199.

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Gao, Feng-Juan, Yu Wang, Lin-Zhang Wang, Zijiang Yang, and Xuan-Dong Li. "Automatic Buffer Overflow Warning Validation." Journal of Computer Science and Technology 35, no. 6 (2020): 1406–27. http://dx.doi.org/10.1007/s11390-020-0525-z.

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Serpeloni, Felipe, Regina Moraes, and Rodrigo Bonacin. "Ontology Mapping Validation." International Journal of Web Portals 3, no. 3 (2011): 1–11. http://dx.doi.org/10.4018/jwp.2011070101.

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The use of ontologies and ontology mappings is increasing in companies. Often the same context is modeled in different ontologies. Mapping is necessary to integrate these ontologies; however, in many cases these mappings are incorrect, i.e., they incorrectly link semantic concepts with different meanings. Tools that validate these mappings are necessary to ensure reliable communication between heterogeneous systems. This validation cannot be done in a completely automatic way, because the mappings are based on human interpretation. This work describes a semi-automatic tool that supports this a

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Ye, Yaojiang, Zixin Luo, Zhengxuan Qiu, et al. "Radiomics Prediction of Muscle Invasion in Bladder Cancer Using Semi-Automatic Lesion Segmentation of MRI Compared with Manual Segmentation." Bioengineering 10, no. 12 (2023): 1355. http://dx.doi.org/10.3390/bioengineering10121355.

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Conventional radiomics analysis requires the manual segmentation of lesions, which is time-consuming and subjective. This study aimed to assess the feasibility of predicting muscle invasion in bladder cancer (BCa) with radiomics using a semi-automatic lesion segmentation method on T2-weighted images. Cases of non-muscle-invasive BCa (NMIBC) and muscle-invasive BCa (MIBC) were pathologically identified in a training cohort and in internal and external validation cohorts. For bladder tumor segmentation, a deep learning-based semi-automatic model was constructed, while manual segmentation was per

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Rahmat, Syaputra, Muhammad Islamida, and Raihan Rizal Fachri. "Design of Automatic Lighting Installation Props Using Photocell and Motion Sensors." JURNAL EDUNITRO Jurnal Pendidikan Teknik Elektro 4, no. 1 (2024): 9–18. http://dx.doi.org/10.53682/edunitro.v4i1.8580.

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This teaching aid design approach is based on compiling learning materials that are fully necessary to achieve the desired understanding and skills. In the lighting installation subject, vocational electrical power installation techniques at SMK Negeri 2 Sinabang, there needs to be more demonstration media, which causes problems for students who find it very difficult to understand lighting installations and put them together. With this teaching aid medium, it is hoped that it can help students' understanding of installing lighting installations and improve student learning outcomes so that le

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Matsui, Daigo, Kazuo Takamoto, and Taro Furuta. "Detergency Validation of an Automatic Endoscope Reprocessor." JAPANES JOURNAL OF MEDICAL INSTRUMENTATION 73, no. 2 (2003): 39–42. http://dx.doi.org/10.4286/ikakikaigaku.73.2_39.

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Kawahito, Motohiro, Reid Copeland, Toshihiko Koju, David Siegwart, and Moriyoshi Ohara. "Automatic Optimize-time Validation for Binary Optimizers." Journal of Information Processing 30 (2022): 155–63. http://dx.doi.org/10.2197/ipsjjip.30.155.

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11

Robert, C., A. Gasnier, P. Blanchard, et al. "SP-0367 Clinical validation of automatic segmentation." Radiotherapy and Oncology 161 (August 2021): S271. http://dx.doi.org/10.1016/s0167-8140(21)08576-5.

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Murphy, Raymond L. H., Elizabeth A. Del Bono, and Frank Davidson. "Validation of an Automatic Crackle (Rale) Counter." American Review of Respiratory Disease 140, no. 4 (1989): 1017–20. http://dx.doi.org/10.1164/ajrccm/140.4.1017.

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Paiva, Ana C. R., Nuno H. Flores, João P. Faria, and José M. G. Marques. "End-to-end Automatic Business Process Validation." Procedia Computer Science 130 (2018): 999–1004. http://dx.doi.org/10.1016/j.procs.2018.04.104.

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Broccia, Giovanna, Marco Manca, Fabio Paternò, and Francesca Pulina. "Flexible Automatic Support for Web Accessibility Validation." Proceedings of the ACM on Human-Computer Interaction 4, EICS (2020): 1–24. http://dx.doi.org/10.1145/3397871.

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Li, Dan, Xiaoshan Li, Jicong Liu, and Zhiming Liu. "Validation of requirement models by automatic prototyping." Innovations in Systems and Software Engineering 4, no. 3 (2008): 241–48. http://dx.doi.org/10.1007/s11334-008-0062-3.

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Baral, Aneesha, Simone Lee, Farah Hussaini, et al. "Clinical Trial Validation of Automated Segmentation and Scoring of Pulmonary Cysts in Thoracic CT Scans." Diagnostics 14, no. 14 (2024): 1529. http://dx.doi.org/10.3390/diagnostics14141529.

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In cystic lung diseases such as lymphangioleiomyomatosis (LAM), a CT-based cyst score that measures the percentage of the lung volume occupied by cysts is a common index of the cyst burden in the lungs. Although the current semi-automatic measurement of the cyst score is well established, it is susceptible to human operator variabilities. We recently developed a fully automatic method incorporating adaptive features in place of manual adjustments. In this clinical study, the automatic method is validated against the standard method in several aspects. These include the agreement between the cy

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Rahamneh, Dr Samah, Ala’ Hanoun, Dr Fahed Jubair, and Khalid A. Darabkh. "WoTs-TDGV: Thing Description Generator and Validator." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 15, no. 3 (2024): 281–97. http://dx.doi.org/10.58346/jowua.2024.i3.019.

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The breakneck evolution of the Web of Things (WoT) has led to a burgeoning demand for reliable tools that facilitate the automatic generation and validation of Thing Descriptions (TD). However, emerging tools that generate or validate TD automatically have suffered from abounding limitations and constraints. In this paper, we propose and implement an automatic web-based Thing Description Generator and Validator (TDGV) application. TDGV automates and simplifies TDs generation while ensuring the compliance with the WoT standards. The application generates more accurate thing description results.

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Collins, D. L., and A. C. Evans. "Animal: Validation and Applications of Nonlinear Registration-Based Segmentation." International Journal of Pattern Recognition and Artificial Intelligence 11, no. 08 (1997): 1271–94. http://dx.doi.org/10.1142/s0218001497000597.

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Magnetic resonance imaging (MRI) has become the modality of choice for neuro-anatomical imaging. Quantitative analysis requires the accurate and reproducible labeling of all voxels in any given structure within the brain. Since manual labeling is prohibitively time-consuming and error-prone we have designed an automated procedure called ANIMAL (Automatic Nonlinear Image Matching and Anatomical Labeling) to objectively segment gross anatomical structures from 3D MRIs of normal brains. The procedure is based on nonlinear registration with a previously labeled target brain, followed by numerical

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Rölle, Annika, Elena Enax-Krumova, Oliver Höffken, et al. "Generation and validation of a PREP sample response." Current Directions in Biomedical Engineering 9, no. 1 (2023): 258–61. http://dx.doi.org/10.1515/cdbme-2023-1065.

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Abstract PREP are typical signal courses in the EEG, which are used to investigate the influence of neuropathologies or, for example, post-traumatic headaches on pain processing. The medically meaningful peaks are detected manually for further analysis. To develop a more time-efficient method, an automatic, latency-independent way of detection was created using the cross-correlation function, which generates a sample response for each data set. The comparison of automatic and manual methods shows advantages and disadvantages of both methods, but no significant deviation of the automatic method

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Wang, Baodong, Congying Zou, Xingyu Liu, Dong Liu, Yiling Zhang, and Lei Zang. "Development and Validation of Deep Learning Preoperative Planning Software for Automatic Lumbosacral Screw Selection Using Computed Tomography." Bioengineering 11, no. 11 (2024): 1094. http://dx.doi.org/10.3390/bioengineering11111094.

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Achieving precise pedicle screw placement in posterior lumbar interbody fusion (PLIF) is essential but difficult due to the intricacies of manual preoperative planning with CT scans. We analyzed CT data from 316 PLIF patients, using Mimics software for manual planning by two surgeons. A deep learning model was trained on 228 patients and validated on 88 patients, assessing planning efficiency and accuracy. Automatic planning successfully segmented and placed screws in all 316 cases, significantly outperforming manual planning in speed. The Dice coefficient for segmentation accuracy was 0.95. T

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Tahir, Hasan Riaz, Benny Malengier, Didier Van Daele, and Lieva Van Langenhove. "Validation of a Platform for the Electrostatic Characterization of Textile." Electronics 11, no. 1 (2021): 115. http://dx.doi.org/10.3390/electronics11010115.

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Floor covering samples of different thickness, pile height, pile design, materials, construction methods, and applied finishes were selected for electrostatic characterization with a standard plotter platform and a newly designed digital platform. There is an existing standard ISO 6356 in which the voltage generated by a human walking on the carpet is measured with human involvement under controlled conditions. A walking person performs the original test procedure to generate the electrostatic charge and manually calculates results. In contrast, the newly designed system does not require a per

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22

Kosonen, Iisakki. "Using Automatic Calibration with Microscopic Traffic Simulation." Journal of Advanced Computational Intelligence and Intelligent Informatics 12, no. 2 (2008): 106–10. http://dx.doi.org/10.20965/jaciii.2008.p0106.

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The microscopic simulation is getting increasingly common in traffic planning and research because of the detailed analysis it can provide. The drawback of this development is that the calibration and validation of such a detailed simulation model can be very tedious. This paper summarizes the research on automatic calibration of a high-fidelity micro-simulation (HUTSIM) at the Helsinki University of Technology (TKK). In this research we used ramp operation as the case study. The automatic calibration of a detailed model requires a systematic approach. A key issue is the error-function, which

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23

Hernández, R., M. Maruri, K. Otxoa de Alda, J. Egaña, and S. Gaztelumendi. "Quality control procedures at Euskalmet data center." Advances in Science and Research 8, no. 1 (2012): 129–34. http://dx.doi.org/10.5194/asr-8-129-2012.

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Abstract. The Basque Country Mesonet measures more than 130 000 observations daily from its 85 Automatic Weather Stations (AWS). It becomes clear that automated software is an indispensable tool for quality assurance (QA) of this mesoscale surface observing network. This work describes a set of experimental semi-automatic quality control (QC) routines that is applied at Euskalmet data center. It has paid special attention to level validation design and associated flags, as well as to the system outputs, which are used by meteorologist and maintenance staff.

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24

Tong, Xiaoyu, Shigeng Wang, Jingyi Zhang, Yong Fan, Yijun Liu, and Wei Wei. "Automatic Osteoporosis Screening System Using Radiomics and Deep Learning from Low-Dose Chest CT Images." Bioengineering 11, no. 1 (2024): 50. http://dx.doi.org/10.3390/bioengineering11010050.

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Objective: Develop two fully automatic osteoporosis screening systems using deep learning (DL) and radiomics (Rad) techniques based on low-dose chest CT (LDCT) images and evaluate their diagnostic effectiveness. Methods: In total, 434 patients who underwent LDCT and bone mineral density (BMD) examination were retrospectively enrolled and divided into the development set (n = 333) and temporal validation set (n = 101). An automatic thoracic vertebra cancellous bone (TVCB) segmentation model was developed. The Dice similarity coefficient (DSC) was used to evaluate the segmentation performance. F

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Olotu, Yahaya, Livinus Apebuamhe Izah, Moses Eromosele Eseigbe, Reuben Ishiekwene, and John Friday Ogbodo. "Re-calibration of an automatic evaporimeter." Studia Universitatis Babeș-Bolyai Engineering 67, no. 1 (2022): 162–71. http://dx.doi.org/10.24193/subbeng.2022.1.15.

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A set of pre-programmed sensors and transducers, including 0.71 EAP, carbon resistor, semi-carbon conductor, IN4007, and lighting diode-4v, 60 mm amp, were used to develop and build an automatic evaporimeter for automating/self-recording evaporation rate. 10 ILP values, 8 FLP values, 150.4 and 12.3 refractive values, respectively, were used to design the evaporimeter's operating principle. The results of equipment calibration utilizing various statistical validations of voltage, calibration index, and refractive index values demonstrate high agreement with R2 values of 0.999, 0.869, and 16.4 c

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Kim, Chong-Sup, In-Je Cho, and Dong-Kyu Lee. "Development and Validation of Automatic Thrust Control System." Journal of Institute of Control, Robotics and Systems 16, no. 9 (2010): 905–12. http://dx.doi.org/10.5302/j.icros.2010.16.9.905.

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27

Caballero, J., S. Thapa, R. Gardner, and M. Potekhin. "Automatic Integration Testbeds validation on Open Science Grid." Journal of Physics: Conference Series 331, no. 6 (2011): 062027. http://dx.doi.org/10.1088/1742-6596/331/6/062027.

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Rijnbeek, Peter R., Marten E. van den Berg, Gerard van Herpen, Henk J. Ritsema van Eck, and Jan A. Kors. "Validation of automatic measurement of QT interval variability." PLOS ONE 12, no. 4 (2017): e0175087. http://dx.doi.org/10.1371/journal.pone.0175087.

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Lugato, David, Céline Bigot, and Yannick Valot. "Validation and automatic test generation on UML models." Electronic Notes in Theoretical Computer Science 66, no. 2 (2002): 33–49. http://dx.doi.org/10.1016/s1571-0661(04)80402-x.

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Cassino, Rosanna, Maurizio Tucci, Giuliana Vitiello, and Rita Francese. "Empirical validation of an automatic usability evaluation method." Journal of Visual Languages & Computing 28 (June 2015): 1–22. http://dx.doi.org/10.1016/j.jvlc.2014.12.002.

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Feenstra, B. W. A., W. P. J. Holland, J. J. B. van Lanschot, and H. A. Bruining. "Design and validation of an automatic metabolic monitor." Intensive Care Medicine 11, no. 2 (1985): 95–99. http://dx.doi.org/10.1007/bf00254782.

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32

Santos, Eugene, and Hang T. Dinh. "On automatic knowledge validation for Bayesian knowledge bases." Data & Knowledge Engineering 64, no. 1 (2008): 218–41. http://dx.doi.org/10.1016/j.datak.2007.07.004.

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Romero, Oscar, and Alberto Abelló. "Automatic validation of requirements to support multidimensional design." Data & Knowledge Engineering 69, no. 9 (2010): 917–42. http://dx.doi.org/10.1016/j.datak.2010.03.006.

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Geiss, Niklas, Jan Dupuis, Christian Fuchs, and Constanze Pradarutti. "Validation of Modern ADAS Systems Through Automatic Annotations." ATZelectronics worldwide 20, no. 6 (2025): 42–45. https://doi.org/10.1007/s38314-025-1995-0.

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Jagtap, Rohan, Yalamanchili Samata, Amisha Parekh, et al. "Clinical Validation of Deep Learning for Segmentation of Multiple Dental Features in Periapical Radiographs." Bioengineering 11, no. 10 (2024): 1001. http://dx.doi.org/10.3390/bioengineering11101001.

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Periapical radiographs are routinely used in dental practice for diagnosis and treatment planning purposes. However, they often suffer from artifacts, distortions, and superimpositions, which can lead to potential misinterpretations. Thus, an automated detection system is required to overcome these challenges. Artificial intelligence (AI) has been revolutionizing various fields, including medicine and dentistry, by facilitating the development of intelligent systems that can aid in performing complex tasks such as diagnosis and treatment planning. The purpose of the present study was to verify

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Chylinski, Daphne, Franziska Rudzik, Dorothée Coppieters ‘t Wallant, et al. "Validation of an Automatic Arousal Detection Algorithm for Whole-Night Sleep EEG Recordings." Clocks & Sleep 2, no. 3 (2020): 258–72. http://dx.doi.org/10.3390/clockssleep2030020.

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Arousals during sleep are transient accelerations of the EEG signal, considered to reflect sleep perturbations associated with poorer sleep quality. They are typically detected by visual inspection, which is time consuming, subjective, and prevents good comparability across scorers, studies and research centres. We developed a fully automatic algorithm which aims at detecting artefact and arousal events in whole-night EEG recordings, based on time-frequency analysis with adapted thresholds derived from individual data. We ran an automated detection of arousals over 35 sleep EEG recordings in h

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Stanojcic, Nick, Eduardo Mangieri, Nathan Little, and David O’Brart. "A new software for automated counting of glistenings in intraocular lenses in vivo." International Journal of Ophthalmology 16, no. 8 (2023): 1237–42. http://dx.doi.org/10.18240/ijo.2023.08.08.

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AIM: To assess the performance of a bespoke software for automated counting of intraocular lens (IOL) glistenings in slit-lamp images. METHODS: IOL glistenings from slit-lamp-derived digital images were counted manually and automatically by the bespoke software. The images of one randomly selected eye from each of 34 participants were used as a training set to determine the threshold setting that gave the best agreement between manual and automatic grading. A second set of 63 images, selected using randomised stratified sampling from 290 images, were used for software validation. The images we

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Lokbani, Ahmed Chaouki. "A New Metric of Validation for Automatic Text Summarization by Extraction." International Journal of Strategic Information Technology and Applications 8, no. 3 (2017): 20–40. http://dx.doi.org/10.4018/ijsita.2017070102.

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In this article, the author proposes a new metric of evaluation for automatic summaries of texts. In this case, the adaptation of the F-measure that generates a hybrid method of evaluating an automatic summary at the same time as both extrinsic and intrinsic. The article starts by studying the feasibility of adaptation of the F-measure for the evaluation of automatic summarization. After that, the author defines how to calculate the F-measure for a candidate summary. Text is presented with a term vector which can be either a word or a phrase, with a binary-weighted or occurrence. Finally, to d

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Goenaga Goicoechea, Garazi, NATALIA GUTIERREZ PEREZ, MAITANE URRUTXUA ANDIA, ARITZ ESNAOLA ARRUTI, and FRANCISCO JAVIER VALLEJO OCHOA DE ALDA. "DEVELOPMENT AND VALIDATION OF AN AUTOMATIC MANUFACTURING PROCESS FOR FIBERGLASS COMPOSITES." DYNA 98, no. 5 (2023): 455–59. http://dx.doi.org/10.6036/10739.

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Fiberglass reinforced polymeric composites are ideal for various applications due to their mechanical properties and lightweight. However, nowadays many fiberglass reinforced composite manufacturing processes are manual, which makes it complicated for them to meet industrial requirements regarding the quality and reliability of the manufactured parts, limiting their applications. The development of automatic and digital processes lead to the reduction of manual labour and, as a consequence, the cost and variability of the process. Nevertheless, the industrial implementation of these automatic

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Lin, Zeyang, Jun Lai, Xiliang Chen, Lei Cao, and Jun Wang. "Curriculum Reinforcement Learning Based on K-Fold Cross Validation." Entropy 24, no. 12 (2022): 1787. http://dx.doi.org/10.3390/e24121787.

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With the continuous development of deep reinforcement learning in intelligent control, combining automatic curriculum learning and deep reinforcement learning can improve the training performance and efficiency of algorithms from easy to difficult. Most existing automatic curriculum learning algorithms perform curriculum ranking through expert experience and a single network, which has the problems of difficult curriculum task ranking and slow convergence speed. In this paper, we propose a curriculum reinforcement learning method based on K-Fold Cross Validation that can estimate the relativit

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Voropaev, A. A., O. V. Fadeikina, V. F. Evlashkina, T. D. Bohanova, and D. S. Davydov. "Validation studies of the spiral plating method to determine the potency of lactobacillus-containing probiotics." Biological Products. Prevention, Diagnosis, Treatment 23, no. 4 (2023): 584–93. http://dx.doi.org/10.30895/2221-996x-2023-23-4-584-593.

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Scientific relevance. Viable cell counting is an important microbiological test for the quality assessment of medicinal products containing live microorganisms. To optimise labour and material costs and enhance testing precision and reproducibility, it is practical to use partially automated instrumental methods, such as the spiral plating method.Aim. The aim was to conduct a validation study of the spiral plating method for assessing the potency of biologicals containing live bacterial cells, using a lactobacillus-containing probiotic medicinal product as a case study.Materials and methods. T

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Noort, Alex, and Willem F. Bronsvoort. "Enforcing Model Validity by Automatic Adjustment." Journal of Computing and Information Science in Engineering 1, no. 4 (2001): 311–19. http://dx.doi.org/10.1115/1.1431549.

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In current modeling systems, all dimensions in a model have to be fully specified by the user. It is desirable that systems become more flexible in this respect, i.e. that non-critical dimensions in a model can be declared variant, and that the model can be automatically adjusted to enforce its validity when it is invalid. A method to realize this in feature modeling systems is described. The underlying feature model definition and validation approach are introduced. Validation is done by a collection of constraint solvers. An overview of invalid situations in which automatic model adjustment

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Mlynarski, Mark, Jay A. Puckett, Chad M. Clancy, et al. "Bridge Software Validation Guidelines and Examples." Transportation Research Record: Journal of the Transportation Research Board 1696, no. 1 (2000): 143–51. http://dx.doi.org/10.3141/1696-17.

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NCHRP 12-50 is a research project to investigate current software validation procedures and to provide an improved method of verifying bridge design and analysis software. The removal of errors in bridge design and analysis software has a far-reaching impact on safety assurance in the design and rating of bridges. Bridge engineers are relying on automated computations at an increasing rate. Automation of bridge computations is now an integral part of routine practice. In theory, this software should be error free—yet perfect software remains elusive. The number of bridge types and geometric co

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Gomes, Otávio da F. M., and Sidnei Paciornik. "Automatic Classification of Graphite in Cast Iron." Microscopy and Microanalysis 11, no. 4 (2005): 363–71. http://dx.doi.org/10.1017/s1431927605050415.

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A method for automatic classification of the shape of graphite particles in cast iron is proposed. In a typical supervised classification procedure, the standard charts from the ISO-945 standard are used as a training and validation population. Several shape and size parameters are described and used as discriminants. A new parameter, the average internal angle, is proposed and is shown to be relevant for accurate classification. The ideal parameter sets are determined, leading to validation success rates above 90%. The classifier is then applied to real cast iron samples and provides results

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Liu, Shumin, Yunli Zhang, Limin Zhao, et al. "QUantitative and Automatic Atmospheric Correction (QUAAC): Application and Validation." Sensors 22, no. 9 (2022): 3280. http://dx.doi.org/10.3390/s22093280.

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The difficulty of atmospheric correction based on a radiative transfer model lies in the acquisition of synchronized atmospheric parameters, especially the aerosol optical depth (AOD). At the moment, there is no fully automatic and high-efficiency atmospheric correction method to make full use of the advantages of geostationary meteorological satellites in large-scale and efficient atmospheric monitoring. Therefore, a QUantitative and Automatic Atmospheric Correction (QUAAC) method is proposed which can efficiently correct high-spatial-resolution (HSR) satellite images. QUAAC uses the atmosphe

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Liu, Shumin, Yunli Zhang, Limin Zhao, et al. "QUantitative and Automatic Atmospheric Correction (QUAAC): Application and Validation." Sensors 22, no. 9 (2022): 3280. http://dx.doi.org/10.3390/s22093280.

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The difficulty of atmospheric correction based on a radiative transfer model lies in the acquisition of synchronized atmospheric parameters, especially the aerosol optical depth (AOD). At the moment, there is no fully automatic and high-efficiency atmospheric correction method to make full use of the advantages of geostationary meteorological satellites in large-scale and efficient atmospheric monitoring. Therefore, a QUantitative and Automatic Atmospheric Correction (QUAAC) method is proposed which can efficiently correct high-spatial-resolution (HSR) satellite images. QUAAC uses the atmosphe

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Liu, Shumin, Yunli Zhang, Limin Zhao, et al. "QUantitative and Automatic Atmospheric Correction (QUAAC): Application and Validation." Sensors 22, no. 9 (2022): 3280. http://dx.doi.org/10.3390/s22093280.

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The difficulty of atmospheric correction based on a radiative transfer model lies in the acquisition of synchronized atmospheric parameters, especially the aerosol optical depth (AOD). At the moment, there is no fully automatic and high-efficiency atmospheric correction method to make full use of the advantages of geostationary meteorological satellites in large-scale and efficient atmospheric monitoring. Therefore, a QUantitative and Automatic Atmospheric Correction (QUAAC) method is proposed which can efficiently correct high-spatial-resolution (HSR) satellite images. QUAAC uses the atmosphe

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Ibrahim Teo, N. H., and M. S. Joy. "Validation of Course Ontology Elements for Automatic Question Generation." EAI Endorsed Transactions on e-Learning 4, no. 15 (2017): 153392. http://dx.doi.org/10.4108/eai.29-11-2017.153392.

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Abdi, Samar, Yonghyun Hwang, Lochi Yu, Gunar Schirner, and Daniel D. Gajski. "Automatic TLM Generation for Early Validation of Multicore Systems." IEEE Design & Test of Computers 28, no. 3 (2011): 10–19. http://dx.doi.org/10.1109/mdt.2010.117.

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Stam, Barbara, Heike Peulen, Maddalena M. G. Rossi, José S. A. Belderbos, and Jan-Jakob Sonke. "Validation of automatic segmentation of ribs for NTCP modeling." Radiotherapy and Oncology 118, no. 3 (2016): 528–34. http://dx.doi.org/10.1016/j.radonc.2015.12.014.

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