Evaluating smart city technology efficiency and citizen satisfaction using data envelopment analysis by Omer Bafail

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INTER-COUNTRY EFFICIENCY EVALUATION IN INNOVATION ACTIVITY ON THE BASIS OF METHOD FOR DATA ENVELOPMENT ANALYSIS AMONG COUNTRIES WITH DEVELOPED AND DEVELOPING ECONOMY, INCLUDING THE... by I. V. Zhukovski, A. B. Gedranovich

“…The paper considers a problem on efficiency evaluation of innovation activity in 63 countries with developed and developing economies while using a method for data envelopment analysis. …”
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Evaluating Geostatistical and Statistical Merging Methods for Radar–Gauge Rainfall Integration: A Multi-Method Comparative Study by Xuan-Hien Le, Naoki Koyama, Kei Kikuchi, Yoshihisa Yamanouchi, Akiyoshi Fukaya, Tadashi Yamada

“…While complex methods like EDK and BAK offer detailed spatial outputs, they require more calibration. …”
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THE EFFICIENCY OF THE CONTAINER TERMINALS IN ADRIATIC: AN IMPROVED DATA ENVELOPMENT ANALYSIS by Evelin Krmac, Mozhgan Mansouri Kaleibar

“…This study focuses on evaluating the sustainability-based efficiency of the Adriatic container terminals using the Data Envelopment Analysis (DEA) method over the last three years. …”
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THE EFFICIENCY OF THE CONTAINER TERMINALS IN ADRIATIC: AN IMPROVED DATA ENVELOPMENT ANALYSIS by Evelin Krmac, Mozhgan Mansouri Kaleibar

“…This study focuses on evaluating the sustainability-based efficiency of the Adriatic container terminals using the Data Envelopment Analysis (DEA) method over the last three years. …”
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Efficient Finite-Difference Estimation of Second-Order Parametric Sensitivities for Stochastic Discrete Biochemical Systems by Fauzia Jabeen, Silvana Ilie

“…Sensitivity analysis is an important method for studying the influence of the variations in various parameters on the output of a biochemical model. …”
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A Dynamic Analysis of a Cantilever Piezoelectric Vibration Energy Harvester with Maximized Electric Polarization Due to the Optimal Shape of the Thickness for First Eigen Frequency by Paulius Skėrys, Rimvydas Gaidys

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Spatial Characteristics and Driving Mechanisms of Carbon Neutrality Progress in Tourism Attractions in the Qinghai–Tibet Plateau Based on Remote Sensing Methods by Bing Xia

“…Through the superposition of tourism activity points of interest with remotely sensed inversion raster data like human carbon emissions, net primary productivity, and kilometer-grid GDP, the carbon emissions, carbon sinks, and economic output of tourism attractions are obtained. Data envelopment analysis and econometric models are utilized to assess the “carbon emissions–carbon sinks–economic output” coupling efficiency relationship and driving mechanism under the framework of the tourism carbon neutrality process. …”
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Development of a drone-based ground-penetrating radar system for efficient and safe 3D and 4D surveying of alpine glaciers by Bastien Ruols, Ludovic Baron, James Irving

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Maximizing Spectrum Efficiency of Data-Carrying Reference Signals via Bayesian Optimization by Taiki Kato, Hiroki Iimori, Chandan Pradhan, Szabolcs Malomsoky, Naoki Ishikawa

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Optimizing energy use efficiency and environmental performance in cotton and canola production using the Imperialist Competitive Algorithm by Mousa Mirmoradi, Mohammad Gholami Parashkoohi, Hamed Afshari, Ahmad Mohammadi

“…Total energy consumption per hectare is slightly higher for cotton (26,083.80 MJ) relative to canola (25,747.04 MJ), yet cotton yields greater output (2,900 kg vs. 2,300 kg), indicating superior yield efficiency. …”
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Comparison of interpolation methods for raster images scaling by Trubakov A.O., Seleykovich M.O.

“…Besides, we consider an analysis of several methods that are used to increase sizes of ras-ter images. …”
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Evaluation of Energy Efficiency of a Common Pea Dry Land Farming System through Application of Complementary Irrigation by Hamdollah Eskandari, Kamyar Kazemi

“…The current research was carried out to evaluate energy consumption and production in a common pea dry land farming system to reach the best possible improvement of energy balance. Materials and MethodsEvaluation of the energy balance of a common pea dry land farming system and the effect of a complementary irrigation on total energy efficiency was determined from values for energy inputs and outputs including seed, pesticide (liquid herbicide), human labor (men and women), machinery, diesel fuel and grain yield per unit area. …”
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Evaluation of Pharmaceutical Companies Introduced in Tehran Stock Exchange Using Balanced Scorecard Method and Data Envelopment Analysis by Fatemeh Sadat Aghaei, Majid Annabi

“…After collecting data, the efficiency rating of pharmaceutical companies was calculated using the output-driven CCR model. …”
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Methods of high voltage generation by cascading amplifiers by A. Dovhal, Yu. Tuz

“…The study results showed that the use of high-voltage operational amplifiers RA94 provides high stability and accuracy of the output signal even under variable loads. The cascaded connection of the amplifiers helped to expand the frequency range and increase the operating voltage, which increased their efficiency. …”
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Neural Network Methods in the Development of MEMS Sensors by Yan Liu, Mingda Ping, Jizhou Han, Xiang Cheng, Hongbo Qin, Weidong Wang

“…In this paper, we present an overview of the progress, applications, and prospects of NN methods in the development of MEMS sensors. The superiority of leveraging NN methods in structural design, device fabrication, and output compensation/calibration is reviewed and discussed to illustrate how NNs have reformed the development of MEMS sensors. …”
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Estimation of Evaporation Rate Using Advanced Methods by Mohammed Falah Allawi, Uday Hatem Abdulhameed, Mohammed Freeh Sahab, Sadeq Oleiwi Sulaiman

“…The Artificial Neural Network (ANN) and Support Vector Regression (SVR) methods are cutting-edge models that have been employed in several recent research to estimate various hydrological parameters. …”
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Assessment of Input-Output Dead Times Impact on Tuning Procedures and Grouping Policies for Output Soft Constraints in MPC by Crescenzo Pepe, Silvia Maria Zanoli

“…In addition, a characterization of the proposed methods based on different input-output configurations and on the control matrix to be used at each control instant is presented. …”
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Efficient Joint Transmit and Receive Beam Alignment via Sequential CNN LSTM Networks by Takumi Yoshida, Koji Ishibashi, Hiroki Iimori, Paulo Valente Klaine, Szabolcs Malomsoky

“…Simulation results demonstrate that the proposed deep learning-based beam tracking methods are superior to traditional beam tracking algorithms in terms of beamforming gain and effective spectral efficiency.…”
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Information method for control of green glass production by R. I. Makarov, E. R. Khorosheva

“…These statistical data differ from the normal law of probability distribution, which limits the use of traditional statistical control methods. Regression models do not always give an accurate mathematical description of the process since the variance of the conditional mathematical expectation of the output variable relative to the input is not a consistent characteristic of the relationship between the input and output variables. …”
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