Design and realization of low intermodulation three-frequency coaxial cavity combiner by Ge Xuefei, Zhang Xupu, You Bin

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Toward User-Guided Seismic Facies Interpretation With a Pre-Trained Large Vision Model by Joshua Atolagbe, Ardiansyah Koeshidayatullah

“…Recent advancements in computer vision and deep learning have made a paradigm shift in seismic facies interpretation. …”
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Prototype multi-agent robotic debris removal system: principles of development and experimental studies by S. V. Manko, V. M. Lokhin, S. A. K. Diane

“…The multi-stage task of searching and removing debris in the process of eliminating the consequences of emergency situations is analyzed. …”
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Multi-Parameter Optimization Using Metaheuristic Algorithms to Improve Uncrewed Aerial Vehicles’ Wireless Communications: A Performance Analysis by Lalan J. Mishra, Naima Kaabouch

“…Across both approaches, the genetic algorithm achieved the lowest processing time, and ant colony optimization the highest. …”
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LiDAR-Based Optimized Normal Distribution Transform Localization on 3-D Map for Autonomous Navigation by Abhishek Thakur, P. Rajalakshmi

“…However, LiDAR produces bulky data with hundreds of thousands of points in a frame, making it computationally expensive to process. The localization algorithm must be very fast to ensure the smooth driving of autonomous vehicles. …”
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Efficient Dynamic Performance Prediction of Railway Bridges Situated on Small-Radius Reverse Curves by Yumin Song, Bin Hu, Xiaoliang Meng

“…Through supervised training with dynamic performance labels, this process empowers the SVM model to predict the dynamic performance of the bridge. …”
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Digital Spectral Analysis by means of the Method of Averag Modified Periodograms Using Binary-Sign Stochastic Quantization of Signals by V. N. Yakimov

“…Discrete-event modeling made it possible to discretize the process of calculating PSD estimates. As a result, the calculation of PSD estimates was reduced to discrete processing of the cosine and sine Fourier transforms for window functions. …”
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Volleyball technical action recognition based on CNN-LSTM by Zhigang Zhang, Yong Tian, Jinchong Qi

“…Next, a long short-term memory network is used to process time-series data and capture the spatiotemporal changes in volleyball technique movements. …”
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E-LEARNING UTILIZATION TO IMPROVE THE STUDENTS’ LEARNING ACHIEVEMENT AT TELKOM UNIVERSITY BANDUNG by Fetty Poerwita Sary, Adhi Prasetio, Milleniartha Moslem

“…For this research, the sample and population of this study are 88 international class students who take E-Commerce courses that has implemented LMS CELOE. The data were processed through computer assistance using the SPSS21 program and simple regression analysis techniques. …”
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Pattems and models of flowering of some Gampanulaceae Juss. species by E. S. Fomin, T. I. Fomina

“…Observation data were processed by standard statistical methods and used to construct stochastic computer models of flowering shoots, while omissions in data were restored by using the maximum likelihood method. …”
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Dynamics of link formation in networks structured on the basis of predictive terms by S. O. Kramarov, O. R. Popov, I. E. Dzhariev, E. A. Petrov

“…An algorithmic approach is applied to establish the sequence of combining the necessary operations for automated processing of textual information by the internal algorithms of specialized databases, software environments and shells providing for their integration during data transmission. …”
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Analytic decay width of the Higgs boson to massive bottom quarks at order α s 3 $$ {\alpha}_s^3 $$ by Jian Wang, Xing Wang, Yefan Wang

“…This decay width has been computed up to O α s 4 $$ \mathcal{O}\left({\alpha}_s^4\right) $$ for the process induced by the bottom quark Yukawa coupling, assuming massless final states, and the corresponding corrections beyond O α s 2 $$ \mathcal{O}\left({\alpha}_s^2\right) $$ are found to be less than 0.2%. …”
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Characterizing the Evolution of Trapped scCO2 Curvature in Bentheimer and Nugget Sandstone Pore Geometry by Laura E. Dalton, Dustin Crandall, Angela Goodman

“…To mimic the dynamic process, two sandstones, Bentheimer and Nugget, were subjected to two successive drainage and imbibition (D-I) cycles and X-ray computed tomography scanned at each residual state to capture the wettability evolution at static conditions in the same pore geometry. …”
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Research and application of nozzles with inclined inlet channels for jet sulphitators in the sugar industry by V. Ponomarenko, D. Liulka, V. Vasyliv, R. Yakobchuk, Ye. Babko, Y. Slyva

“…The paper was devoted to the study of the process of liquid spraying by nozzles used in jet sulphitators in the sugar industry or as separate equipment. …”
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On shredding of wood raw materials with knives of different designs by Fokin Sergey, Shportko Oksana, Druchinin Denis

“…Therefore, the proposed design of stepped knives will allow levelling the disadvantages of wood chopping by straight knives. The computer modelling of the working process of wood chips production from wood waste used in the research allows to carry out with a high degree of accuracy a comparative automated analysis of the efficiency of wood waste chopping by straight and stepped knives.…”
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rEHR: An R package for manipulating and analysing Electronic Health Record data. by David A Springate, Rosa Parisi, Ivan Olier, David Reeves, Evangelos Kontopantelis

“…The rEHR package simplifies and accelerates the process of extracting ready-for-analysis datasets from EHR databases. …”
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Automated 3D semantic segmentation of PCB X-ray CT images and netlist extraction by Adrian Phoulady, Yara Suleiman, Hongbin Choi, Nicholas May, Sina Shahbazmohamadi, Pouya Tavousi

“…This paper presents an automated approach, combining image processing and machine learning, to achieve 3D semantic segmentation of PCB X-ray Computed Tomography (X-ray CT) images and subsequent netlist extraction. …”
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A novel MRI PET image fusion using shearlet transform and pulse coded neural network by Vella Satyanarayana, P. Mohanaiah

“…The domain transforms especially the WT-based fusion process, have brought significant improvements in literature hyper corrigibility, primarily because of its efficient computational performances along with its non-specificity of the image content domain. …”
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THE INFLUENCE OF COMPENSATION, LEADERSHIP AND MOTIVATION ON EMPLOYEE PERFORMANCE AT CV. ARTHENIS TRAVEL by Khoiriyatul Ulumiyah, Priyo Utomo, Syamsul Arifin, Devangga Putra Adhitya Pratama, Waloyo Waloyo

“…A multiple linear regression technique was used for the data analysis, while SPSS software was used for the data processing.  Findings: According to the study's t-test results, the compensation variable (X1) has a computed t value that is less than the t table, specifically -2.011 < 2.045. …”
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PENGARUH KUALITAS INFORMASI, KEMAMPUAN INDIVIDUAL, DAN NORMA SUBYEKTIF TERHADAP MINAT MAHASISWA AKUNTANSI DALAM MENGGUNAKAN INTERNET SEBAGAI MEDIA SUMBER PUSTAKA (Studi Empiris di... by Saifudin -, Santi Ayu Nindyowati, Anita Damajanti

“…Selanjutnya hasil penelitian ini juga memperlihatkan bahwa kemampuan individu (computer self-efficacy and knowledge of search domain) berpengaruh secara signifikan pada ketertarikan mahasiswa dalam menggunakan internet jika dilihat dari kemudahan dalam penggunaannya. …”
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