Developing Methodological Tools to Estimate Efficiency of Research Organization Divisions by E. A. Grigoreva

“…A lot of methods for estimating organization efficiency were proposed, however the majority of them do not take into account specific features of research organization and their division functioning. …”
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Statistical Parameters Estimation of Correlated Millimeter-Wave MIMO Channel by Maziar Kakavand, Mohammadreza Hassannejad Bibalan, Mina Baghani

“…Even though the use of these waves faces numerous challenges, having an accurate estimation of their parameters would be a crucial notion for the improved performance of this channel. …”
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Optimizing decentralized implementation of state estimation in active distribution networks by Mohammad Gholami, Aref Eskandari, Sajjad Fattaheian‐Dehkordi, Matti Lehtonen

“…Abstract The challenges facing active distribution networks have highlighted the position of the distribution system state estimation (DSSE) process in the distribution management systems as its most important function. …”
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State of Health Estimation for Lithium-Ion Batteries Based on TCN-RVM by Yu Zhao, Yonghong Xu, Yidi Wei, Liang Tong, Yiyang Li, Minghui Gong, Hongguang Zhang, Baoying Peng, Yinlian Yan

“…A State of Health (SOH) estimation of lithium-ion batteries is a core function of battery management systems, directly affecting the safe operation, lifetime prediction, and economic efficiency of batteries. …”
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Determinants of ex post household coping strategies in the face of health shocks in Burkina Faso: evidence from household surveys by Guiro Jeudi Topan, Noël Thiombiano

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Method and System for Heart Rate Estimation Using Linear Prediction Filtering by Vitor O. T. Souza, Fabrício G. S. Silva, José M. Araújo, Jaimilton S. Lima

“…Cardiovascular diseases represent one of the major problems faced by modern society. In addition to reducing people’s quality of life, bringing high costs to the health system, and causing losses in economic productivity, they are the leading cause of death in the world. …”
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Parameter estimation of power system wideband oscillation based on Zoom FFT and relaxation algorithm by Shuang Feng, Yue Mei, Zhirui Zhang, Jiaxing Lei, Yi Tang

“…The proposed method estimates multi-mode wideband oscillation signals by minimizing a non-linear least squares (NLS) cost function. …”
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A 3D Image Reconstruction Model for Long Tunnel Geological Estimation by Yongtao Liu, Jie Qiao, Tianyuan Han, Longhui Li, Ting Xu

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Attention and stimulus structure interact during ensemble encoding of facial expression by Marco A. Sama, Moaz Shoura, Adrian Nestor, Jonathan S. Cant

“…Critically, the consistency of center and surround faces varied as a function of emotional valence (i.e., same versus opposite). …”
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Regularization techniques for inhomogeneous (spatial) point processes intensity and conditional intensity estimation****** by Coeurjolly Jean-Francois, Ba Ismaïla, Choiruddin Achmad

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Functional Analysis of Thyme Production in Denizli Province by Arif Semerci, Enver Ken

“…In this study, the relationships between the amount of thyme production and the number of seedlings, chemical fertilizers, pesticides, and the machinery used in the whole production, the amount of diesel, the amount of labor used, and the production area were analyzed with the help of the Cobb-Douglas production function. The coefficient of determination for the estimation equation was 0.89 and was found to be significant at the 1% level. …”
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Physics-augmented deep learning models for improving evapotranspiration estimation in global land regions by Binrui Liu, Xinguang He, Wenkai Lyu, Lizhi Tao

“…Existing evapotranspiration (ET) estimation models face inherent limitations when relying solely on physics-based or data-driven paradigms. …”
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Estimation of Non-Stationary Frequency and Fundamental Components for Power Electronics-Dominated Energy Systems by Peng Li, Hin Sang Lam, Boli Chen, Raymond Wai M. Ng, Thomas Parisini, S. Y. Hui

“…The method is based on a kernel-based estimation scheme and characterized by high accuracy, fast response, and noise immunity because of the inclusion of non-asymptotic kernel functions. …”
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Estimation of Mud and Sand Fractions and Total Concentration From Coupled Optical‐Acoustic Sensors by Duc Tran, Matthias Jacquet, Stuart Pearson, Bram VanProoijen, Romaric Verney

“…Abstract Optical turbidity and acoustic sensors have been widely used in laboratory experiments and field studies to investigate suspended particulate matter concentration over the last four decades. Both methods face a serious challenge as laboratory and in‐situ calibrations are usually required. …”
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A Biomimetic Pose Estimation and Target Perception Strategy for Transmission Line Maintenance UAVs by Haoze Zhuo, Zhong Yang, Chi Zhang, Nuo Xu, Bayang Xue, Zekun Zhu, Yucheng Xie

“…In this context, the widespread promotion and application of smart robots in the power industry can help address the increasingly complex challenges faced by the industry and ensure the efficient, economical, and safe operation of the power grid system. …”
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Accuracy and Usability of Smartphone-Based Distance Estimation Approaches for Visual Assistive Technology Development by Giles Hamilton-Fletcher, Mingxin Liu, Diwei Sheng, Chen Feng, Todd E. Hudson, John-Ross Rizzo, Kevin C. Chan

“…<italic>Methods:</italic> We tested five smartphone-based distance-estimation approaches in the image center and periphery at 1&#x2013;3 meters, including machine learning (CoreML), infrared grid distortion (IR_self), light detection and ranging (LiDAR_back), and augmented reality room-tracking on the front (ARKit_self) and back-facing cameras (ARKit_back). …”
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Fast and Accurate Direct Position Estimation Using Low-Complexity Correlation and Swarm Intelligence Optimization by Yuze Duan, Zuping Tang, Jiaolong Wei, Jie Sun, Kaixian Ying

“…Direct Position Estimation (DPE) is an alternative GNSS positioning method that models received satellite signals as a function of the receiver’s navigation state, allowing for the direct estimation of position, velocity, and time within the navigation domain. …”
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Enhanced parameter estimation for Lomax distribution using a contemporary triangular fuzzy ranking method by D. Kalpanapriya, Pullooru Bhavana

“…Our proposed ranking function for Triangular Fuzzy Numbers (TFNs) enhances the estimation process in fuzzy environments, enabling better interpretation of incomplete datasets. …”
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Enhancing Transpiration Estimates: A Novel Approach Using SIF Partitioning and the TL-LUE Model by Tewekel Melese Gemechu, Baozhang Chen, Huifang Zhang, Junjun Fang, Adil Dilawar

“…Existing methodologies, including traditional techniques like the Penman–Monteith model, remote sensing approaches utilizing Solar-Induced Fluorescence (SIF), and machine learning algorithms, have demonstrated varying levels of effectiveness in ET estimation. However, these methods often face significant challenges, such as reliance on empirical coefficients, inadequate representation of canopy dynamics, and limitations due to cloud cover and sensor constraints. …”
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Enhancing the functional content of eukaryotic protein interaction networks. by Gaurav Pandey, Sonali Arora, Sahil Manocha, Sean Whalen

“…The effectiveness of each measure is then estimated by comparing the quality of protein function predictions obtained from its corresponding transformed network with those from the original network. …”
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