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Relevant bibliographies by topics / Scale estimation ECTS

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Academic literature on the topic 'Scale estimation ECTS'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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Journal articles on the topic "Scale estimation ECTS"

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Khmelnychyі, L., V. Vechorka, and S. Khmelnychyi. "The life expectancy of ukrainian brown dairy breed cows depending on linear estimation of the udder morphological characteristics." Tehnologìâ virobnictva ì pererobki produktìv tvarinnictva, no. 1(156) (May 25, 2020): 29–38. http://dx.doi.org/10.33245/2310-9270-2020-157-1-29-38.

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The Estimation of dairy cattle cows by morphological characteristics of the udder is an important element in the system of linear classifi cation of dairy cattle. This is due to the existence of a correlation between the linear characteristics of the udder and indicators of milk productivity and longevity of cows. Studies on the impact of assessing the linear characteristics of the exterior on the life expectancy of dairy cows are motivated and relevant. The exterior type of fi rst-born cows was evaluated according to the method of linear classifi cation in the leading farms of Sumy region for

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Li, Xin, Xincheng Wang, Yuanfeng Gao, et al. "Comparison of Different Important Predictors and Models for Estimating Large-Scale Biomass of Rubber Plantations in Hainan Island, China." Remote Sensing 15, no. 13 (2023): 3447. http://dx.doi.org/10.3390/rs15133447.

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Rubber (Hevea brasiliensis Muell.) plantations are among the most critical agricultural ecosystems in tropical regions, playing a vital role in regional carbon balance. Accurate large-scale biomass estimation for these plantations remains a challenging task due to the severe signal saturation problem. Recent advances in remote sensing big data, cloud platforms, and machine learning have facilitated the precise acquisition of key physiological variables, such as stand age (A) and canopy height (H), which are critical parameters for biomass estimation but have been underutilized in prior studies

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Özcan, Seyit Emre, and Hayri Arabaci. "Calculation vs. estimation: Impact of internal resistance determination on SOC estimation accuracy in lithium-ion batteries." Energy Storage and Conversion 3, no. 2 (2025): 3249. https://doi.org/10.59400/esc3249.

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The electrical equivalent circuit model (ECM) is widely employed for state of charge (SOC) estimation in lithium-ion batteries. Among ECM-based approaches, the Thevenin equivalent circuit model (TECM) is particularly favored due to its computational efficiency and ease of parameter identification. TECM can be implemented in various configurations, with 1RC, 2RC, and 3RC structures being the most common. In these configurations, each RC unit consists of a resistor (R) and a capacitor (C) connected in parallel and incorporated into the circuit branch in series. As the number of RC branches incre

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Umsura, Bunyarat, Kamonlak Chaidee, Kingkan Puansurin, et al. "Enhancing Smart Farming Capabilities for Small-Scale Cattle Farmers in Chiang Rai, Thailand." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 18, no. 1 (2024): 1–13. http://dx.doi.org/10.37936/ecti-cit.2024181.253823.

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This research aims to develop an IoT-driven smart farming system for beef cattle management in Chiang Rai Province, Thailand. The system empowers small-scale farmers by enabling precise criteria for cattle care, optimized feeding, growth monitoring, breeding analysis, and cost estimation through WSN and cloud-based platforms. The sensors gather raw data on consumption from the feeding troughs and then transmit it to the cloud-based platform. Consumption data is then analyzed using Linear Regression Analysis. Key findings indicate a substantial correlation (0.995) between feed quantity and catt

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Liu, Xia, Marek E. Bialkowski, and Feng Wang. "Investigation into the Effects of Channel Properties on Training-based MIMO Channel Estimation." ECTI Transactions on Electrical Engineering, Electronics, and Communications 8, no. 2 (2008): 173–78. http://dx.doi.org/10.37936/ecti-eec.201082.172093.

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This paper reports on investigations into the effect of channel properties on training-based MIMO channel estimation. Here, the channel's properties are represented by eigenvalues of the complex channel correlation matrix. The influence of these eigen values is assessed for two training based channel estimation methods, Scaled Least Square (SLS) method and Minimum Mean Square Error (MMSE) method. It is shown that for a given transmitted power to noise ratio in the training mode, the performance of the two estimation methods is governed by the sum of eigen values of the channel correlation matr

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Borzì, Iolanda, Brunella Bonaccorso, and Giuseppe Tito Aronica. "Evaluating the Influence of DEM Resolution and Potential Evapotranspiration Assessment on Groundwater Resources Estimation with a Reverse Hydrogeological Balance Method." Proceedings 48, no. 1 (2019): 25. http://dx.doi.org/10.3390/ecws-4-06420.

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Quantifying groundwater resources is important for effective water resource planning and management at the river basin scale, and it has to take into account all the natural and anthropogenic components of the water balance, i.e., rainfall and runoff processes, as well as mutual interactions between surface water and groundwater, but also artificial groundwater recharges (i.e., from irrigation) and groundwater extractions. In the present study, a reverse hydrogeological balance model was applied to estimate the active mean annual recharge of the northern Etna groundwater system within the Alca

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Cheong, Yuk Fai, Randall P. Fotiu, and Stephen W. Raudenbush. "Efficiency and Robustness of Alternative Estimators for Two- and Three-level Models: The Case of NAEP." Journal of Educational and Behavioral Statistics 26, no. 4 (2001): 411–29. http://dx.doi.org/10.3102/10769986026004411.

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This article investigates the efficiency and robustness of alternative estimators of regression coefficients for three-level data. To study student achievement, researchers might formulate a standard regression model or a hierarchical model with a two- or three-level structure. Having chosen the model, the researchers might employ either a model-based or a robust estimator of the standard errors. A simulation study showed that, as expected, the hierarchical model analyses produced more efficient point estimates than did analyses that ignored the covariance structure in the data, even when the

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Fieuzal, Remy, Vincent Bustillo, David Collado, and Gerard Dedieu. "Estimation of Sunflower Yields at a Decametric Spatial Scale—A Statistical Approach Based on Multi-Temporal Satellite Images." Proceedings 18, no. 1 (2019): 7. http://dx.doi.org/10.3390/ecrs-3-06203.

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Recent advances in sensors onboard harvesting machines allow accessing the intra-plot variability of yields, spatial scale fully compatible with numerous on-going satellite missions. The aim of this study is to estimate the sunflower yield at the intra-plot spatial scale using the multi-temporal images provided by the Landsat-8 and Sentinel-2 missions. The proposed approach is based on a statistical algorithm, testing different sampling strategies to partition the dataset into independent training and testing sets: A random selection (testing different ratio), a systematic selection (focusing

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Thonglek, Kundjanasith, Norawit Urailertprasert, Patchara Pattiyathanee, and Chantana Chantrapornchai. "Damaged Vehicle Parts Detection Platforms using Deep Learning Technique." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 15, no. 3 (2021): 313–23. http://dx.doi.org/10.37936/ecti-cit.2021153.223151.

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   Automatic vehicle damage detection platform can increase the market value of car insurance. The es- timation process is usually manual and requires hu- man experts and their time to evaluate the damage cost. Intelligent Vehicle Accident Analysis (IVAA) system provides an artificial intelligence as a service (AIaaS) for building a system that can automatically assess vehicle parts’ damage and severity level. The insurance company can adopt our service to build the application to speedup the claiming process. There are four main elements in the service system which support f

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Xiao, Shuai, Jun Xia, and Lei Zou. "Evaluation of Multi-Satellite Precipitation Products and Their Ability in Capturing the Characteristics of Extreme Climate Events over the Yangtze River Basin, China." Water 12, no. 4 (2020): 1179. http://dx.doi.org/10.3390/w12041179.

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Against the background of global climate change and anthropogenic stresses, extreme climate events (ECEs) are projected to increase in both frequency and intensity. Precipitation is one of the main climate parameters for ECE analysis. However, accurate precipitation information for extreme climate events research from dense rain gauges is still difficult to obtain in mountainous or economically disadvantaged regions. Satellite precipitation products (SPPs) with high spatial and temporal resolution offer opportunities to monitor ECE intensities and trends on large spatial scales. In this study,

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Dissertations / Theses on the topic "Scale estimation ECTS"

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Chekalov, Oleksandr Petrovych, Александр Петрович Чекалов, Олександр Петрович Чекалов та ін. "Шкала оценивания ECTS: инструкция к применению". Thesis, Видавництво СумДУ, 2010. http://essuir.sumdu.edu.ua/handle/123456789/4259.

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Conference papers on the topic "Scale estimation ECTS"

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Moon, Sungwook, Jinho Kim, Jihyun Lee, Taeyong Kim, and Kyongho Kim. "An accurate on-chip design estimation for mitigating EMI effects in a large-scale integration chip." In 2015 IEEE 65th Electronic Components and Technology Conference (ECTC). IEEE, 2015. http://dx.doi.org/10.1109/ectc.2015.7159677.

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Zhdanovskiy, Vyacheslav, Lev Teplyakov, and Anton Grigoryev. "Predicting Performance of Heterogeneous AI Systems with Discrete-Event Simulations." In 36th ECMS International Conference on Modelling and Simulation. ECMS, 2022. http://dx.doi.org/10.7148/2022-0278.

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In recent years, artificial intelligence (AI) technologies have found industrial applications in various fields. AI systems typically possess complex software and heterogeneous CPU/GPU hardware architecture, making it difficult to answer basic questions considering performance evaluation and software optimization. Where is the bottleneck impeding the system? How does the performance scale with the workload? How the speed-up of a specific module would contribute to the whole system? Finding the answers to these questions through experiments on the real system could require a lot of computationa

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Macdonald, Kenneth A., and Hans I. Lange. "Engineering Critical Assessment of Thin-Walled Offshore Pipelines." In 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64188.

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Since the introduction of automated ultrasonic testing (AUT) in the late 1990s, acceptance levels for fabrication flaws in girth welds have in the main been established using fracture mechanics. The specific advice required for engineering critical assessment (ECA) where pipeline installation methods involve plastic strain, is already available in company specifications, and general standards and guidance. Although each subsea development is typically comprised of a number of pipelines with widely ranging functions, materials and geometry, the combination of small diameter and thin-wall linepi

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Reports on the topic "Scale estimation ECTS"

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Gaponenko, Artiom, and Andrey Golovin. Electronic magazine with rating system of an estimation of individual and collective work of students. Science and Innovation Center Publishing House, 2017. http://dx.doi.org/10.12731/er0043.06102017.

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«The electronic magazine with rating system of an estimation of individual and collective work of students» (EM) is developed in document Microsoft Excel with use of macros. EM allows to automate all the calculated operations connected with estimation of amount scored by students in each form of the current control. EM provides automatic calculation of rating of the student with reflection of a maximum quantity of the points received in given educational group. The rating equal to “1” is assigned to the student who has got a maximum quantity of points for the certain date. For the other studen

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