Log in

Relevant bibliographies by topics / Hybrid estimation model-based

Contents

Journal articles
Dissertations / Theses
Books
Book chapters
Conference papers
Reports

Academic literature on the topic 'Hybrid estimation model-based'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Hybrid estimation model-based.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Hybrid estimation model-based"

1

Zhang, C., H. Xue, G. Dong, H. Jing, and S. He. "RUNOFF ESTIMATION BASED ON HYBRID-PHYSICS-DATA MODEL." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2022 (May 17, 2022): 347–52. http://dx.doi.org/10.5194/isprs-annals-v-3-2022-347-2022.

Full text

Abstract:

Abstract. Runoff estimations play an important role in water resource planning and management. Existing hydrological models can be divided into physical models and data-driven models. Although the physical model contains certain physical knowledge and can be well generalized to new scenarios, the application of physical models is limited by the high professional knowledge requirements, difficulty in obtaining data and high computational costs. The data-driven model can fit the observed data well, but the estimation may not be physically consistent. In this letter, we propose a hybrid physical

APA, Harvard, Vancouver, ISO, and other styles

2

Demir, Ridvan, and Murat Barut. "Novel hybrid estimator based on model reference adaptive system and extended Kalman filter for speed-sensorless induction motor control." Transactions of the Institute of Measurement and Control 40, no. 13 (2017): 3884–98. http://dx.doi.org/10.1177/0142331217734631.

Full text

Abstract:

This paper presents a novel hybrid estimator consisting of an extended Kalman filter (EKF) and an active power-based model reference adaptive system (AP-MRAS) in order to solve simultaneous estimation problems of the variations in stator resistance ([Formula: see text]) and rotor resistance ([Formula: see text]) for speed-sensorless induction motor control. The EKF simultaneously estimates the stator stationary axis components ([Formula: see text] and [Formula: see text]) of stator currents, the stator stationary axis components ([Formula: see text] and [Formula: see text]) of stator fluxes, r

APA, Harvard, Vancouver, ISO, and other styles

3

Carius, L., J. Pohlodek, B. Morabito, et al. "Model-based State Estimation Based on Hybrid Cybernetic Models." IFAC-PapersOnLine 51, no. 18 (2018): 197–202. http://dx.doi.org/10.1016/j.ifacol.2018.09.299.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Bretas, Arturo S., Newton G. Bretas, Julio A. D. Massignan, and João B. A. London Junior. "Hybrid Physics-Based Adaptive Kalman Filter State Estimation Framework." Energies 14, no. 20 (2021): 6787. http://dx.doi.org/10.3390/en14206787.

Full text

Abstract:

State-of-the art physics-model based dynamic state estimation generally relies on the assumption that the system’s transition matrix is always correct, the one that relates the states in two different time instants, which might not hold always on real-life applications. Further, while making such assumptions, state-of-the-art dynamic state estimation models become unable to discriminate among different types of anomalies, as measurement gross errors and sudden load changes, and thus automatically leads the state estimator framework to inaccuracy. Towards the solution of this important challeng

APA, Harvard, Vancouver, ISO, and other styles

5

Liu, Jun, Julian Koch, Simon Stisen, Lars Troldborg, and Raphael J. M. Schneider. "A national-scale hybrid model for enhanced streamflow estimation – consolidating a physically based hydrological model with long short-term memory (LSTM) networks." Hydrology and Earth System Sciences 28, no. 13 (2024): 2871–93. http://dx.doi.org/10.5194/hess-28-2871-2024.

Full text

Abstract:

Abstract. Accurate streamflow estimation is essential for effective water resource management and adapting to extreme events in the face of changing climate conditions. Hydrological models have been the conventional approach for streamflow interpolation and extrapolation in time and space for the past few decades. However, their large-scale applications have encountered challenges, including issues related to efficiency, complex parameterization, and constrained performance. Deep learning methods, such as long short-term memory (LSTM) networks, have emerged as a promising and efficient approac

APA, Harvard, Vancouver, ISO, and other styles

6

Li, Xiang, Feihu Xue, Jianli Ding, et al. "A Hybrid Model Coupling Physical Constraints and Machine Learning to Estimate Daily Evapotranspiration in the Heihe River Basin." Remote Sensing 16, no. 12 (2024): 2143. http://dx.doi.org/10.3390/rs16122143.

Full text

Abstract:

Accurate estimation of surface evapotranspiration (ET) in the Heihe River Basin using remote sensing data is crucial for understanding water dynamics in arid regions. In this paper, by coupling physical constraints and machine learning for hybrid modeling, we develop a hybrid model based on surface conductance optimization. A hybrid modeling algorithm, two physical process-based ET algorithms (Penman–Monteith-based and Priestley–Taylor-based ET algorithms), and three pure machine learning algorithms (Random Forest, Extreme Gradient Boosting, and K Nearest Neighbors) are comparatively analyzed

APA, Harvard, Vancouver, ISO, and other styles

7

Zheng, Yan Ping, Tian Tian, and Zhengang He. "Performance Parameter Estimation of the Parallel Hybrid Electric Vehicle." Applied Mechanics and Materials 130-134 (October 2011): 2180–84. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.2180.

Full text

Abstract:

Based on the theory of HEV (Hybrid Electric Vehicle) and the idea of reverse simulation, the simulation model of the parallel HEV is established in MATLAB and the estimation of the energy efficiency, the power performance and the fuel economy of HEV is achieved, which provides reference for the performance estimation of parallel HEV. At the same time the definition and the estimating method about HEV energy efficiency were mentioned in this paper and the energy efficiency can be achieved by the simulation model. The results of the simulation show that this estimating method has certain practic

APA, Harvard, Vancouver, ISO, and other styles

8

Jung, Hye-Young, Woo-Joo Lee, and Seung Hoe Choi. "Hybrid Fuzzy Regression Analysis Using the F-Transform." Applied Sciences 10, no. 19 (2020): 6726. http://dx.doi.org/10.3390/app10196726.

Full text

Abstract:

This paper proposes a hybrid estimation algorithm for independently estimating the response function for the center and the response function for the spread in fuzzy regression model. The proposed algorithm combines the least absolute deviations estimation with discriminant analysis. In addition, the F-transform is used to convert spreads of the dependent variable into several groups. Two examples show that our method is superior to the existing methods based on the fuzzy regression model that assumes the same function for spread and center.

APA, Harvard, Vancouver, ISO, and other styles

9

Tsai, Tzong-Ru, Yuhlong Lio, Jyun-You Chiang, and Ya-Wen Chang. "Stress–Strength Inference on the Multicomponent Model Based on Generalized Exponential Distributions under Type-I Hybrid Censoring." Mathematics 11, no. 5 (2023): 1249. http://dx.doi.org/10.3390/math11051249.

Full text

Abstract:

The stress–strength analysis is investigated for a multicomponent system, where all strength variables of components follow a generalized exponential distribution and are subject to the generalized exponential distributed stress. The estimation methods of the maximum likelihood and Bayesian are utilized to infer the system reliability. For the Bayesian estimation method, informative and non-informative priors combined with three loss functions are considered. Because the computational difficulty on working posteriors, the Markov chain Monte Carlo method is adopted to obtain the approximation o

APA, Harvard, Vancouver, ISO, and other styles

10

Emeksiz, Cem, and Muhammed Musa Fındık. "Hybrid Estimation Model (CNN-GRU) Based on Deep Learning for Wind Speed Estimation." International Journal of Multidisciplinary Studies and Innovative Technologies 6, no. 1 (2022): 104. http://dx.doi.org/10.36287/ijmsit.6.1.104.

Full text

APA, Harvard, Vancouver, ISO, and other styles

More sources

Dissertations / Theses on the topic "Hybrid estimation model-based"

1

Henry, Melvin Michael 1968. "Model-based estimation of probabilistic hybrid automata." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/82249.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

"A hybrid approach to expert and model based effort estimation." WEST VIRGINIA UNIVERSITY, 2008. http://pqdtopen.proquest.com/#viewpdf?dispub=1451942.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Haw, Chen Shang, and 陳尚昊. "A model-based hybrid control design for a robot with on-line onment estimation." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/61492640536172561795.

Full text

Abstract:

碩士<br>國立交通大學<br>控制工程系<br>82<br>In this thesis, we investigate the problems of compliant motion control and the uncertainties of compliant motion. A generalized hybrid controller is developed based on the dynamic model of the manipulator. Uncertainties such as environment geometric relation and contact stiffness have been taken into consideration in this design. The hybrid control scheme is widely used to control both the position and force of the end- effector. However, some difficulties

APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Hybrid estimation model-based"

1

Center, Langley Research, and United States. National Aeronautics and Space Administration., eds. Application of model based parameter estimation for fast frequency response calculations of input characteristics of cavity-backed aperture antennas using hybrid FEM/MoM technique. National Aeronautics and Space Administration, Langley Research Center, 1998.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

2

National Aeronautics and Space Administration (NASA) Staff. Application of Model Based Parameter Estimation for Fast Frequency Response Calculations of Input Characteristics of Cavity-Backed Aperture Antennas Using Hybrid Fem/Mom Technique. Independently Published, 2018.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

3

Morozova, Katerina. Parameter Estimation on Hybrid Zenith Camera and Gravimeter Data for Integrated Gravity Field and Geoid Determination Based on Spherical-cap-harmonics Modelling. RTU Press, 2022. http://dx.doi.org/10.7250/9789934228179.

Full text

Abstract:

The main objective of the Doctoral Thesis is to develop a new solution for the Earth gravity field determination based on spherical-cap-harmonic modelling, using both vertical deflection and gravimetric hybrid data. The values of vertical deflections caused by gravity field anomaly are computed using digital zenith camera. It is a new kind of astrogeodetic instrument employing recent advancements in several areas of technology. The intention is to use vertical deflections along with GNSS/levelling and gravity data to improve the local quasi-geoid model including both physical and geometrical d

APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Hybrid estimation model-based"

1

Wang, Danwei, Ming Yu, Chang Boon Low, and Shai Arogeti. "Application of Real Time FDI and Fault Estimation to a Vehicle Steering System." In Model-based Health Monitoring of Hybrid Systems. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7369-5_6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Jacobs, Arne, Thorsten Hermes, and Otthein Herzog. "Hybrid Model-Based Estimation of Multiple Non-dominant Motions." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28649-3_11.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Mourtzis, Dimitris, John Angelopoulos, and Vasileios Siatras. "Cycle Time Estimation Model for Hybrid Assembly Stations Based on Digital Twin." In IFIP Advances in Information and Communication Technology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57993-7_20.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Sharma, Sneha, Kamakhya Chaturvedi, and Aman Gupta. "A Hybrid Residual and Capsule Layer Based CNN Model for Yoga Pose Estimation." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-9045-6_32.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Naumann, Christian, Andreas Naumann, Nico Bertaggia, et al. "Hybrid Thermal Error Compensation Combining Integrated Deformation Sensor and Regression Analysis Based Models for Complex Machine Tool Designs." In Lecture Notes in Production Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34486-2_3.

Full text

Abstract:

AbstractThermal errors remain the dominant sources of positioning inaccuracies in machine tools. Various methods of reducing them have already been developed, ranging from cooling and air conditioning strategies, thermally optimized machine tool designs and component optimization to accurate model based thermal error estimation methods used for control-integrated compensation. Some reasons for the limited success of these strategies are the general complexity of the thermo-elastic and thermodynamic processes involved and the fact that many models’ effectiveness is dependent on the machine tool

APA, Harvard, Vancouver, ISO, and other styles

6

Michaud, Marc-Antoine, and Roland Maranzana. "Cost Estimation Aided Software for Machined Parts: An Hybrid Model Based on PLM Tools and Data." In Product Lifecycle Management and the Industry of the Future. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72905-3_18.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Wang, Shengyuan, and Heng Zhao. "A Hybrid Model Based on CNN, Transformer and GRU for SOC Estimation of Lithium-Ion Batteries." In Communications in Computer and Information Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-9946-9_41.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Schuchardt, Christiane. "Sola Dosis Facit Venenum: Dosimetry for Molecular Radiotherapy in Bad Berka." In Beyond Becquerel and Biology to Precision Radiomolecular Oncology: Festschrift in Honor of Richard P. Baum. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-33533-4_27.

Full text

Abstract:

AbstractThe estimation of the absorbed dose is an essential factor for the determination of risks and therapeutic benefit of internal radiation therapies. Optimal dose estimations require time-consuming and sophisticated methods, which are difficult owing to practical purposes mainly related to the patients’ status and physical reasons. Nevertheless, to make patient-specific dosimetry available, we use a special developed dosimetry procedure, which can be used in daily clinical routine.The so-called Bad Berka Dose Protocol (BBDP) is a hybrid method based on serial planar whole body scans and S

APA, Harvard, Vancouver, ISO, and other styles

9

Prandi, Federico, Umberto Di Staso, Marco Berti, Luca Giovannini, Piergiorgio Cipriano, and Raffaele De Amicis. "Hybrid Approach for Large-scale Energy Performance Estimation Based on 3D City Model Data and Typological Classification." In Lecture Notes in Geoinformation and Cartography. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-19602-2_10.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Zwingel, Maximilian, Christopher May, Sebastian Reitelshöfer, and Wolfgang Mauerer. "Optimization Problems in Production and Planning: Approaches and Limitations in View of Possible Quantum Superiority." In Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2023. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-74010-7_23.

Full text

Abstract:

Abstract Modern production and process planning is characterized by complex and diffuse interrelationships of parameters, properties and control values. New materials, innovative production technologies, differing degrees of automatability and application dependency form a multidimensional problem space for optimization, which cannot be efficiently solved by today’s technologies. Approximations in form of genetic algorithms, different heuristics and simplifications exist, but lack applicability due to high runtime and estimation errors. Quantum computers, quantum annealers and hybrid algorithm

APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Hybrid estimation model-based"

1

Yazar, Muhammed Duran, and Oktay Aytar. "PV Model Parameter Estimation Based on Hybrid Metaheuristic Approach." In 2024 XV International Symposium on Industrial Electronics and Applications (INDEL). IEEE, 2024. https://doi.org/10.1109/indel62640.2024.10772662.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Sai, Sujith, Anuvab Sen, Chhandak Mallick, et al. "QGAPHnet : Quantum Genetic Algorithm Based Hybrid QLSTM Model for Soil Moisture Estimation." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641651.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Yang, Hao, Haoying Zhou, Gregory S. Fischer, and Jie Ying Wu. "A Hybrid Model and Learning-Based Force Estimation Framework for Surgical Robots." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10802648.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Jayagoda, Nipuna Madhawa, and Dharshana Kasthurirathna. "Hybrid Model-Based Automated Exterior Vehicle Damage Assessment and Severity Estimation for Insurance Operations." In 2025 International Research Conference on Smart Computing and Systems Engineering (SCSE). IEEE, 2025. https://doi.org/10.1109/scse65633.2025.11031047.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Muntoni, G., M. B. Lodi, A. Melis, C. Macciò, A. Fanti, and G. Mazzarella. "Dielectric Permittivity Estimation of Liquid Phantoms Using a Coaxial Fixture Based on Hybrid PSO-NLR Model." In 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI). IEEE, 2024. http://dx.doi.org/10.1109/ap-s/inc-usnc-ursi52054.2024.10685893.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Hu, Shiyao, Xichun Feng, Jianing Yue, Yuntao Ju, and Jiang Jing. "Dynamic State Estimation of AC/DC Hybrid Distribution Network Based on Model Compensation and Unscented Kalman Filter." In 2024 Second International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE). IEEE, 2024. http://dx.doi.org/10.1109/iccsie61360.2024.10698419.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Chabukswar, Akshay, Praveen Vankadari, Akurathi Sai Sarath Chandra, Avinash Naramu, Rahul Raj Kar, and Rupesh Wandhare. "Hybrid Model-Based and Heuristic Optimal Parameter Estimation for a PV-Fed DC-DC Converter with Maximum Power Extraction." In 2024 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, 2024. https://doi.org/10.1109/pedes61459.2024.10961437.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Wang, Yiqing, Mingming Song, Ye Xia, Wenjun Cao, and Limin Sun. "Joint Input-State Estimation Based on Recurrent Neural Network Assisted-Augmented Kalman Filter." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0338.

Full text

Abstract:

<p>The joint estimation of system states and unknown input loads in dynamic civil structures, based on limited observations, has garnered significant attention in recent years. A widely used method for this is the augmented Kalman filter (AKF), which extends the state vector to include unknown inputs, allowing for simultaneous state and input estimation. However, like the classical Kalman filter (KF), the AKF is highly sensitive to the tuning of hyperparameters—specifically, the covariance matrices of process and measurement noise—and to inaccuracies in the state-space model, which hampe

APA, Harvard, Vancouver, ISO, and other styles

9

Turi Nagy, Martin, Gregor Rozinaj, and Andrej Palenik. "A hybrid pitch period estimation method based on HNM model." In ELMAR 2007. IEEE, 2007. http://dx.doi.org/10.1109/elmar.2007.4418825.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Schneider, Kilian, Maximilian Inderst, and Thomas Brandmeier. "Hybrid Model Based Pre-Crash Severity Estimation for Automated Driving." In 2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS). IEEE, 2020. http://dx.doi.org/10.1109/cavs51000.2020.9334670.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Hybrid estimation model-based"

1

Bajwa, Abdullah, Tim Kroeger, and Timothy Jacobs. PR-457-17201-R04 Residual Gas Fraction Estimation Based on Measured Engine Parameters - Phase IV. Pipeline Research Council International, Inc. (PRCI), 2021. http://dx.doi.org/10.55274/r0012176.

Full text

Abstract:

Based on experimental characterization of the scavenging behavior of a cross-scavenged, piston-aspirated, two-stroke, natural gas engine in phase III of the current project, a computationally inexpensive simple scavenging model was improved in this phase. Experimental results using fast nondispersive infrared (NDIR) CO2 measurements from the cylinder and the exhaust, as well as experiments using unburned fuel pre-mixed in the scavenging chamber as a tracer for short-circuiting during scavenging, were used in this phase to validate the improved model. The model represents the fundamental phenom

APA, Harvard, Vancouver, ISO, and other styles

2

Bajwa, Abdullah, and Timothy Jacobs. PR-457-17201-R03 Residual Gas Fraction Estimation Based on Measured In-Cylinder Pressure - Phase III. Pipeline Research Council International, Inc. (PRCI), 2021. http://dx.doi.org/10.55274/r0011996.

Full text

Abstract:

An experimental study was carried out to characterize the scavenging behavior of a cross-scavenged, piston-aspirated, two-stroke, natural gas engine to aid in the development of computationally inexpensive simple scavenging models for onboard engine control by (1) studying the effects of changing operational parameters on the engine's scavenging performance, and (2) identifying the underlying phenomena driving the observed effects. Tracer based methods were used to quantify the scavenging and trapping performance of the engine - CO2 was used as a tracer for combustion products and pre-mixed fu

APA, Harvard, Vancouver, ISO, and other styles

3

Gur, Amit, Edward Buckler, Joseph Burger, Yaakov Tadmor, and Iftach Klapp. Characterization of genetic variation and yield heterosis in Cucumis melo. United States Department of Agriculture, 2016. http://dx.doi.org/10.32747/2016.7600047.bard.

Full text

Abstract:

Project objectives: 1) Characterization of variation for yield heterosis in melon using Half-Diallele (HDA) design. 2) Development and implementation of image-based yield phenotyping in melon. 3) Characterization of genetic, epigenetic and transcriptional variation across 25 founder lines and selected hybrids. The epigentic part of this objective was modified during the course of the project: instead of characterization of chromatin structure in a single melon line through genome-wide mapping of nucleosomes using MNase-seq approach, we took advantage of rapid advancements in single-molecule se

APA, Harvard, Vancouver, ISO, and other styles

4

Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

Full text

Abstract:

The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!