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

“…This indicates an overfitting to the singular observation time series by the calibration algorithm. We therefore propose a transparent algorithm to identify high-performing Pareto solutions under consideration of observational uncertainties of the calibration data.…”
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PROSPECTS FOR THE DEVELOPMENT OF BIODIESEL PRODUCTION IN UKRAINE WITH CONSIDERATION OF SOCIO-ECONOMIC AND ENVIRONMENTAL EFFICIENCY by Ihor Kupchuk, Tatiana Yemchyk, Yaroslav Gontaruk

“…Graphical representation was employed for the creation of a diagram illustrating an algorithm for biodiesel and by-product production within an energy co-operative. …”
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Penerapan Metode K-Medoids untuk Pengelompokan Mahasiswa Berpotensi Drop Out by Syamsul Bahri, Dwi Marisa Midyanti

“…K-Medoids is a data mining method that can solve clustering problems. In this algorithm, the representation of a cluster uses objects in a set of objects. …”
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Pengamanan Pesan E-Complaint Fasilitas dan Kinerja Civitas Akademika Menggunakan Algoritma RSA by Dwi Yuny Sylfania, Fransiskus Panca Juniawan, Laurentinus Laurentinus, Hengki Hengki

“…The use of cryptographic techniques with the RSA algorithm is used as a solution to prevent message leakage. …”
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Klasifikasi Ulasan Palsu Menggunakan Borderline Over Sampling (BOS) dan Support Vector Machine (SVM) (Studi Kasus : Ulasan Tempat Makan) by Aisyah Awalina, Fitra Abdurrachman Bachtiar, Indriati Indriati

“…However, many of these spam review datasets are imbalanced and thus may affect classification results. In this study, BOS algorithm was used to overcome data imbalances, and SVM algorithm for the classification of spam reviews. …”
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Investigation of the use of a sensor bracelet for the presymptomatic detection of changes in physiological parameters related to COVID-19: an interim analysis of a prospective coho... by Stefanie Aeschbacher, David Conen, Diederick E Grobbee, Raphael Twerenbold, Thomas Lung, Theo Rispens, Jakob Kjellberg, Lorenz Risch, Martin Risch, Marianna Mitratza, Harald Renz, Spiros Denaxas, Billy Franks, Diederick Grobbee, Martina Rothenbühler, Janneke Wijgert, Santiago Montes, Richard Dobson, Hans Reitsma, Christian Simon, Titia Leurink, Charisma Hehakaya, Patricia Bruijning, Kirsten Grossmann, Ornella C Weideli, Marc Kovac, Fiona Pereira, Nadia Wohlwend, Corina Risch, Dorothea Hillmann, Daniel Leibovitz, Vladimir Kovacevic, Andjela Markovic, Paul Klaver, Timo B Brakenhoff, George S Downward, Ariel Dowling, Maureen Cronin, Brianna M Goodale, Brianna Goodale, Ornella Weideli, Regien Stokman, Hans Van Dijk, Eric Houtman, Jon Bouwman, Kay Hage, Lotte Smets, Marcel van Willigen, Maui Chodura, Niki de Vink, Tessa Heikamp, Timo Brakenhoff, Wendy van Scherpenzeel, Wout Aarts, Alison Kuchta, Antonella Chiucchiuini, Steve Emby, Annemarijn Douwes, George Downward, Nathalie Vigot, Pieter Stolk, Duco Veen, Daniel Oberski, Amos Folarin, Pablo Fernandez Medina, Eskild Fredslund

“…Our proposed RNN algorithm identified 68% of COVID-19 positive participants 2 days prior to SO and will be further trained and validated in a randomised, single-blinded, two-period, two-sequence crossover trial.Trial registration numberISRCTN51255782; Pre-results.…”
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Supply Capability Evaluation of Intelligent Manufacturing Enterprises Based on Improved BP Neural Network by Quan Quan, Zhongqiang Zhang

“…In this paper, based on the traditional backpropagation (BP) neural network, combined with the improved particle swarm optimization (PSO) algorithm, and on the basis of the supplier evaluation index system, the supplier efficiency evaluation model of intelligent manufacturing enterprises based on DPMPSO-BP neural network is constructed. …”
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Surrogate Assisted Design Optimization of an Air Turbine by Rameez Badhurshah, Abdus Samad

“…A Reynolds-averaged Navier Stokes solver was used to evaluate the objective function responses, and these responses along with the design variables were used to construct the Kriging variants and RSA functions. A hybrid genetic algorithm was used to find the optimal point in the design space. …”
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Application of Fast P2P Traffic Recognition Technology Based on Decision Tree in the Detection of Network Traffic Data by Lin Zheng, Junjiao Li

“…Based on the research of traffic identification in recent years, a fast P2P network traffic anomaly identification algorithm based on decision tree model is proposed, which improves the efficiency and accuracy of network traffic application identification and network traffic anomaly data identification.…”
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A New Spectral Local Linearization Method for Nonlinear Boundary Layer Flow Problems by S. S. Motsa

“…We propose a simple and efficient method for solving highly nonlinear systems of boundary layer flow problems with exponentially decaying profiles. The algorithm of the proposed method is based on an innovative idea of linearizing and decoupling the governing systems of equations and reducing them into a sequence of subsystems of differential equations which are solved using spectral collocation methods. …”
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Design of PI Controller for Voltage Controller of Four-Phase Interleaved Boost Converter Using Particle Swarm Optimization by Ittipon Laoprom, Satean Tunyasrirut

“…The metaheuristic optimizations, particle swarm optimization (PSO), genetic algorithm (GA), and Tabu search (TS) are applied to find the optimal gains for the proposed control system. …”
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Gait Correlation Analysis Based Human Identification by Jinyan Chen

“…By background subtracting algorithm, the moving silhouette figure can be extracted from the walking images sequence. …”
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Leading causes of fever in patients with liver function disorders by V. T. Ivashkin, M. A. Morozova, M. V. Mayevskaya

“…Article presents pathophysiological mechanisms of development of fever. The algorithm of assessment of patient with disorder of liver function and fever is submitted.Original positions. …”
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FraudMiner: A Novel Credit Card Fraud Detection Model Based on Frequent Itemset Mining by K. R. Seeja, Masoumeh Zareapoor

“…The class imbalance problem is handled by finding legal as well as fraud transaction patterns for each customer by using frequent itemset mining. A matching algorithm is also proposed to find to which pattern (legal or fraud) the incoming transaction of a particular customer is closer and a decision is made accordingly. …”
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A Stochastic and Optimized Energy Efficient Clustering Protocol for Wireless Sensor Networks by Kyung Tae Kim, Hee Yong Youn

“…The performance of the proposed scheme is compared with the clustering-based routing protocols, Low-Energy Adaptive Clustering Hierarchy (LEACH), LEACH-Centralized (LEACH-C), and Adaptive and Energy Efficient Clustering (AEEC) algorithm. Simulation results show that it significantly reduces energy consumption and improves network lifetime. …”
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A Regularized Alternating Least-Squares Method for Minimizing a Sum of Squared Euclidean Norms with Rank Constraint by Pablo Soto-Quiros

“…Additionally, we present an algorithm based on the regularized alternating least-squares (RALS) method for solving the MSSEN-RC problem. …”
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An Empirical Configuration Study of a Common Document Clustering Pipeline by Anton Eklund, Mona Forsman, Frank Drewes

“…The results suggest that BERT embeddings combined with UMAP dimension reduction to no less than 15 dimensions provides a good basis for clustering, regardless of the specific clustering algorithm used. Moreover, while UMAP performed better than PCA in our experiments, tuning the UMAP settings showed little impact on the overall performance. …”
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Single-Object-Based Region Growth: Key Area Localization Model for Remote Sensing Image Scene Classification by Feiyang Li, Jiangtao Wang, Mingyang Wang, Ziyang Wang

“…To tackle this problem, this paper proposes a single-object-based region growth algorithm to effectively localize the most key area in the whole image, so as to generate more discriminative local fine-grained features for the image scene. …”
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Research Progress of Synthesis and Modification Methods Based on Dynamic Substructures by Jintao Su, Bangdong Wang

“…Finally, the development trend of dynamic substructure synthesis and modification algorithm is proposed.…”
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Robust Estimation of the Unbalance of Rotor Systems Based on Sparsity Control of the Residual Model by Tingpeng Zang, Guangrui Wen, Zhifen Zhang

“…With the help of the sparsity of external disturbances, the unbalance identification is converted into a convex optimization problem and solved by a sparse signal reconstruction algorithm. Experiment results have shown that the proposed method is robust and effective in identifying the unbalance of rotor systems in a complex environment, improving the precision of unbalance estimation and simplifying the balancing process.…”
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