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1741
Hydrodynamic Features of Gas-Liquid Flow Movement in a Separation Device Plane Channel with an Oscillating Wall
Published 2018-12-01“…The novelty of the proposed ap-proach concerns creating the mathematical model for determination of analytical dependences between the efficiency of the hydromechanical process and initial parameters of the separation device. …”
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1742
Decision Support System for Determining Disease and Pest Handling in Chili Plants Using WP and VIKOR Methods
Published 2025-07-01“…The final results show that the best alternative is fusarium wilt disease (Fusarium oxysporum) with code A2, having a vector score of 0.09899. In the VIKOR method, the alternative with the lowest Qi index value is considered the best solution. …”
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1743
Automated remote sensing monitoring of cropland non-agricultural and non-grain conversion at parcel scale in complex environments through multi-source data fusion
Published 2025-07-01“…We aim to develop an automated process framework that accurately extracts parcel boundaries and identifies multiple types of changes. …”
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1744
A novel method to predict the haemoglobin concentration after kidney transplantation based on machine learning: prediction model establishment and method optimization
Published 2025-07-01“…Objective To optimize the process of constructing a clinical prediction model based on machine learning and improve related technologies. …”
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1745
Perbandingan Algoritme Machine Learning untuk Memprediksi Pengambil Matakuliah
Published 2019-10-01“…Pada penelitian ini klasifikasi dilakukan dengan membandingkan algoritme k-Nearest Neighbor (k-NN) dan Support Vector Machine (SVM) untuk kasus prediksi pengambil matakuliah. …”
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1746
Estudio comparativo de clasificadores empleados en el diagnóstico de fallos de sistemas industriales // A comparative study of clasification methods used in the fault diagnosis of...
Published 2011-05-01“…<br />Key words: industrial process, fault diagnosis, industrial maintenance, support vector machines, artificial<br />neural networks, partial least-squares, k-nearest neighbor method.…”
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1747
An Exploration of the Viral Coverage of Mosquito Viromes Using Meta-Viromic Sequencing: A Systematic Review and Meta-Analysis
Published 2024-09-01“…Subgroup analyses showed that multiple processing methods significantly affected the viral coverage of mosquito viromes, especially pre-treatment of mosquito samples with saline buffer/medium and antibiotics prior to DNase/RNase treatment and removal of the host genome prior to RNA library construction. …”
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1748
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1749
Methods for Anomalous Azimuth Estimate Censoring in Small Element Antenna Arrays
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1750
A Low Complexity 2D Pattern Synthesis Algorithm for Cylindrical Array
Published 2013-01-01“…Then, the 2D beamforming can be realized by two 1D beamforming processes. We can prove that the complex excitation vector of a cylindrical array is the Kronecker product of linear array’s weight vector and circular array’s weight vector. …”
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1751
Optimized Application of CGA-SVM in Tight Reservoir Horizontal Well Production Prediction
Published 2025-01-01“…Compared with traditional support vector machine, BP neural network, KNN and naive Bayes, the improved support vector machine has a higher prediction accuracy, and the average error is only 2.7%. …”
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1752
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1753
Cloud-Integrated Meteorological Parameter Prediction by Leveraging Multivariate Statistical Time Series and GANs
Published 2025-01-01“…Hence, the present work predicts six important meteorological parameters using the vector autoregression model (VAR), vector moving average model (VMA), vector autoregression moving average model (VARMA), and cointegrated vector autoregression model (CVAR). …”
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1754
Predicting drug–gene relations via analogy tasks with word embeddings
Published 2025-05-01“…Abstract Natural language processing is utilized in a wide range of fields, where words in text are typically transformed into feature vectors called embeddings. …”
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1755
Escalate Prognosis of Parkinson’s Disease Employing Wavelet Features and Artificial Intelligence from Vowel Phonation
Published 2025-04-01“…The extracted audio features include baseline features, intensities, formant frequencies, bandwidths, vocal fold parameters, and Mel-frequency cepstral coefficients (MFCCs) to form a feature vector. Then, this feature vector is further enriched by including wavelet-based features to form the second feature vector. …”
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1756
Some conceptual aspect of overcoming anti-detection and investigation of crimes
Published 2019-02-01“…At the present stage of research, we can argue about the beginning of the formation of a new forensic doctrine – the doctrine of countering the detection and investigation of crimes (judicial proceedings) and the methods and methods for overcoming them. This vector of development of forensic science is relevant due to practical necessity, the actual state of affairs, as well as the essence of law, which obliges to respond to all the processes occurring in public life.…”
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1757
Testing the Monetary Model for Exchange Rate Determination in South Africa: Evidence from 101 Years of Data
Published 2013-03-01“…However, the theoretical restrictions required by the monetary model are rejected. A vector error-correction model identifies both the nominal exchange rate and the monetary fundamentals as the channel for the adjustment process of deviations from the long-run equilibrium exchange rate. …”
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1758
Green credit risk identification and anti-corruption measures under the application of the multi-layer deep network
Published 2025-08-01“…Based on expert judgment and Analytic Hierarchy Process (AHP) analysis, the transparency and accountability indicators were weighted at 0.7 and 0.3, respectively. …”
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1759
Computing the Matrix G of Multi-Dimensional Markov Chains of M/G/1 Type
Published 2025-04-01“…We consider <i>M</i>d-M/G/1 processes, which are irreducible discrete-time Markov chains consisting of two components. …”
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1760
Optimizing Kernel Transformations to Handle Binary Class Imbalanced Dataset Classification
Published 2024-12-01“…In our research, we propose a novel approach to address this challenge specifically tailored for Support Vector Machines (SVM), a well-established family of learning algorithms. …”
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