Assessing water clarity in the Chesapeake Bay using satellite-derived Secchi disk depth by Seunghyun Son, Nikolay P. Nezlin, Veronica P. Lance

“…A semi-analytical SDD algorithm (hereafter called CB-SDD algorithm) proposed for turbid coastal waters was extensively evaluated in the Chesapeake Bay. …”
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Study on the fusion of improved YOLOv8 and depth camera for bunch tomato stem picking point recognition and localization by Guozhu Song, Jian Wang, Rongting Ma, Yan Shi, Yaqi Wang

“…Subsequently, the optimized K-means algorithm, utilizing K-means++ for clustering centre initialization and determining the optimal number of clusters via Silhouette coefficients, is employed to segment the fruit stalk region. …”
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A tolerability burden index in schizophrenia: incorporating patient perspective in clinical trial adverse event reporting by Clément François, Alice Guiraud-Diawara, Christophe Lançon, Pierre Michel Llorca, Ann Hartry, Lene Hammer-Helmich, Djamel A. Zighed, Adrian Tanasescu, Mondher Toumi

“…Setting: Algorithm development analyses. Patients: This study analyzed data from a previously completed clinical trial that evaluated a potential antipsychotic medication; no patients were involved in the current study. …”
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An XGBoost-SHAP Model for Energy Demand Prediction With Boruta–Lasso Feature Selection by Yiwen Wang, Weibin Cheng, Yuting Jin, Jifei Li, Yantian Yang, Shaobing Hu

“…In addition, the analysis based on the SHAP algorithm shows that gross national income (GNI), gross domestic product (GDP), total population at the year-end, per capita consumption expenditure, and the proportion of added value of the secondary industry are the main drivers of energy demand. …”
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Aerial remote sensing system to control pathogens and diseases in broccoli crops with the use of artificial vision by Darwin Laura, Elsa Pilar Urrutia, Franklin Salazar, Jeanette Ureña, Rodrigo Moreno, Gustavo Machado, Maria Cazorla-Logroño, Santiago Altamirano

“…Broccoli is one of Ecuador's main agricultural products and is exported worldwide. …”
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Efficient Equivalence Checking Technique for Some Classes of Finite-State Machines by Vladimir A. Zakharov

“…Using the algebraic approach a new algorithm for checking the equivalence of states of deterministic finite automata is constructed; time complexity of this algorithm is O(n log n).2.            …”
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INFORMATION TECHNOLOGY FOR RECOGNITION OF ROAD SIGNS USING A NEURAL NETWORK by Elena Yashina, Roman Artiukh, Nikolai Рan, Andrei Zelensky

“…The algorithm of its work is presented in the form of a sequence diagram. …”
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ECONOMIC-MATHEMATICAL MODEL OF FORMATION OF INNOVATION AND ENGINEERING INDUSTRIAL CLUSTER by Оlena Akhiiezer, Olha Dunaievska, Anton Rohovyi, Halyna Holotaistrova, Yurii Reshetniak, Serhii Mekhovych

“…It is shown that the basis of the cluster construction algorithm of regions is the integration of quantitative and qualitative methods of identification and clustering of the economy. …”
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Innovative segmentation technique for aerial power lines via amplitude stretching transform by Pengfei Xu, Nor Anis Asma Sulaiman, Yafei Ding, Jiangwei Zhao

“…For this reason, this paper designs a pure amplitude stretching kernel function to form a Fourier amplitude vector field and uses this amplitude vector field to implement the stretching transformation of the amplitude field of the aerial power line image, so that the angular field after the Fourier inverse transformation can better react to the spatial domain line targets, and finally, after the Relative Total Variation (RTV) processing, the power line can be well detected. The proposed algorithm is compared with the main power line segmentation algorithms, such as Region Convolutional Neural Networks(R-CNN) and Phase Stretch Transform(PST). …”
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Proactive dynamic flooding regulations for river basins in China’s arid and semi-arid region of Xinjiang by Xintong Gong, Qiang Zhang, Senlin Tang, Yungang Bai, Vijay P. Singh, Zhenlin Lu

“…Different from traditional static flooding regulations, here we proposed and validated a dynamic potential flood stage by subdividing the flood seasons into three intervals: pre-flood, main flood, and post-flood. We used an improved pre-release constraint algorithm, such as the long-short-series mean correction method, and evaluated the flood stage potential during the aforementioned three intervals. …”
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The benefits and trade-offs of multi-variable calibration of the WaterGAP global hydrological model (WGHM) in the Ganges and Brahmaputra basins by H. M. M. Hasan, P. Döll, P. Döll, S.-M. Hosseini-Moghari, F. Papa, A. Güntner, A. Güntner

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Experimental study of gas–oil relative permeability curves at immiscible/near miscible gas injection in highly naturally fractured reservoir by Mohammad Parvazdavani, Saeed Abbasi, MohammadReza Zare-Reisabadi

“…The main aim of this work is to investigate gas–oil relative permeability curves as the main flow function in different gas injection scenarios, immiscible and near miscible in case of highly fractured reservoirs. …”
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TO SUBSTANTIATION OF COMBINE WHEELED CHASSIS FOR BEET HARVESTING EQUIPMENT by G. A. Tajanowskij, A. A. Kalina

“…Calculated and theoretical expressions for determination of main parameters for a wheeled chassis have been obtained and they include physical quantities of operational conditions that explicitly determine its working process. …”
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Energy Efficient Control by the Group of Oil Pumping Stations Operation by Kaniuk G. I., Mezeria A. Yu., Kniazeva V. N., Fursova T. N., Blyznychenko E. N.

“…The goal set can be reached by the develop-ment of algorithms of the energy efficient control. The most important scientific result based on the identification of the mathematical models of the objects controlled is the efficient algorithm for controlling the group of oil pumping units. …”
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In-Bed Posture Classification Using Pressure Data from a Sensor Sheet Under the Mattress by André Serra, Fernando Ribeiro, José Metrôlho

“…Techniques using pressure maps from sensors placed on top of the mattress, along with machine learning (ML) algorithms to classify main postures (prone, supine, left side, right side), have achieved up to 99% accuracy. …”
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Joining Application of Unmanned Aerial Vehicle Imagery with GIS for Monitoring of Soft Cliff Linear Habitats by Egidijus Jurkus, Julius Taminskas, Ramūnas Povilanskas, Arvydas Urbis, Jovita Mėžinė, Domantas Urbis

“…In the coastal zone, two types of habitats—linear and areal—are distinguished. The main differences between both types are their shape and structure and the hydro- and litho-dynamic, salinity, and ecological gradients. …”
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METHODS OF INVESTIGATION AND SIMULATION OF HYDROPNEUMEROUS MECHANISMS APPLIED IN THE DESTRUCTION OF FROZEN AND SCALING SOILS BY MINING AND CONSTRUCTION MACHINES by N. S. Galdin, I. A. Semenova

“…The article contains information on the identification of the main directions in the study and design of hydraulic shock mechanisms used in the destruction of strong and rocky soils by mining and construction machines. …”
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Constitutive modelling and numerical simulation of dynamic behaviour of asphalt-concrete pavement by A. ZBICIAK

“…The main objective of the paper is to present a simple constitutive model suited for dynamic simulation of asphalt-concrete mixtures. …”
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BLADDER EXTROPHY TREATMENT WITH PUBIC DIASTASIS CORRECTION IN AN ADOLESCENT. CLINICAL CASE by O.A. Malakhov, S.P. Yatsik, S.M. Sharkov, S.E. Trankovskiy, B.K. Shamov

“…The presentation covers main pathogenic mechanisms of the disease, diagnostic algorithm and treatment approaches.Key words: Bladder extrophy, children. …”
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High-roubustness keystroke recognition method based on acoustic spatial gradient by Ying LIU, Kangkang HAN, Zhihong QIAN

“…For the fluctuation of CFCC caused by environmental noise is the main reason for the low accuracy of keystroke detection,the spatial characteristics of adjacent between CFCC were studied,and the spatial gradient structure of CFCC based on points was established.On this basis,the effect of CFCC spatial gradient on keystroke content recognition and the selection of precise neighborhood points were studied on training and testing.Finally,a high-robustness keystroke recognition algorithm based on acoustic signals was constructed.Extensive experiments in different environments demonstrate that the proposed CFCC spatial gradient sound feature achieves great performance and the recognition accuracy is 96.15%.…”
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