Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine) by Chuin-Hen Liew, Song-Quan Ong, David Chun-Ern Ng

“…Grid Search was used to optimize the hyperparameters of each algorithm. The study analyzed 1988 children and 30 study variables after data were processed. …”
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Automated White Matter Hyperintensity Detection in Multiple Sclerosis Using 3D T2 FLAIR by Yi Zhong, David Utriainen, Ying Wang, Yan Kang, E. Mark Haacke

“…The data from the automated algorithm showed good agreement with that from the manual segmentation. …”
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Unsupervised Hyperspectral Denoising Based on Deep Image Prior and Least Favorable Distribution by Keivan Faghih Niresi, Chong-Yung Chi

“…Extensive experimental results are provided to demonstrate that the proposed HLF-DIP algorithm significantly outperforms seven state-of-the-art algorithms in both complexity (thanks to no regularization) and robustness against complex noise (e.g., mixed types of noises).…”
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Spatiotemporal Video Denoising Based on Adaptive Thresholding and Clustering by Ali Abdullah Yahya, Jieqing Tan, Benyu Su, Kui Liu, Ali Naser Hadi

“…Execution time of the proposed algorithm consumes less time in denoising than that in the VBM3D algorithm.…”
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Safety Assessment and a Parametric Study of Forward Collision-Avoidance Assist Based on Real-World Crash Simulations by MohammadReza Seyedi, MohammadReza Koloushani, Sungmoon Jung, Arda Vanli

“…The results also showed that the available AEB algorithms were more effective for the average speed equal to or less than 80 kmph. …”
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Scale-Dependent Signal Identification in Low-Dimensional Subspace: Motor Imagery Task Classification by Qingshan She, Haitao Gan, Yuliang Ma, Zhizeng Luo, Tom Potter, Yingchun Zhang

“…While the noise-assisted multivariate empirical mode decomposition (NA-MEMD) algorithm has been utilized to extract task-specific frequency bands from all channels in the same scale as the intrinsic mode functions (IMFs), identifying and extracting the specific IMFs that contain significant information remain difficult. …”
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Fast approximation of the top‐k items in data streams using FPGAs by Ali Ebrahim, Jalal Khalifat

“…The proposed architecture retains all the properties of this algorithm, which works even if the stream size is unknown at run time. …”
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Designing and implementing a Web-based real time routing service for crisis management (a case study for district 11 of Tehran) by javad sadidi, seyed hassan hosseini sajedi

“…In this service ANP model was used to evaluate increasing interaction between the factors, and since the purpose of this study was to find the best possible routs between two nodes by non-negative weight according to the main distance factor, Dijkstra's algorithm has been chosen as a proper routing algorithm. …”
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Prediksi Stok dan Pengaturan Tata Letak Barang Menggunakan Kombinasi Algoritma Triple Exponential Smoothing dan FP-Growth by Kristoko Dwi Hartomo, Sri Yulianto Prasetyo, Rahmat Abadi Suharjo

“…Data processing in this research is called data mining using FP-Growth and Triple Exponential Smoothing algorithms. FP-Growth algorithm to find out user behavior patterns can be used to develop Triple Exponential Smoothing decisions and algorithms which are forecasting algorithms for inventory items. …”
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Validation of the version 4.5 MAESTRO ozone and NO₂ measurements by P. S. Jeffery, J. R. Drummond, C. T. McElroy, K. A. Walker, J. Zou

“…The version 4.5 retrieval algorithm represents an improvement from previous versions, with changes including updated pressure and temperature input information, an improved algorithm for high-Sun reference spectrum calculation, improved Rayleigh scattering modelling, and the change to a Twomey–Tikhonov inversion algorithm from a Chahine relaxation technique. …”
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Sentiment Analysis Twitter Bahasa Indonesia Berbasis WORD2VEC Menggunakan Deep Convolutional Neural Network by Hans Juwiantho, Esther Irawati Setiawan, Joan Santoso, Mauridhi Hery Purnomo

“…The results of experiments that have been carried out with the Deep Convolutional Neural Network algorithm have the best accuracy value of 76.40%. …”
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A novel data augmentation tool for enhancing machine learning classification: A new application of the higher order dynamic mode decomposition for improved cardiac disease identifi... by Nourelhouda Groun, María Villalba-Orero, Lucía Casado-Martín, Enrique Lara-Pezzi, Eusebio Valero, Jesús Garicano-Mena, Soledad Le Clainche

“…These results show the great potential of using the HODMD algorithm as a data augmentation technique.…”
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Testing the reliability of global surface temperature reconstructions of the Last Glacial Cycle with pseudo-proxy experiments by J.-P. Baudouin, N. Weitzel, M. May, L. Jonkers, A. M. Dolman, K. Rehfeld, K. Rehfeld

“…Beyond the instrumental period, reconstructions rely on local proxy temperature records and algorithms aggregating these records. Here, we propose to establish standards for evaluating the performance of such reconstruction algorithms. …”
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Understanding Health-Related Discussions on Reddit: Development of a Topic Assignment Method and Exploratory Analysis by Garrett J Chan, Mark Fung, Jill Warrington, Sarah A Nowak

“…By iterating through multiple rounds of topic assignment, we improved the accuracy of the algorithm. Ultimately, this algorithm created 82 topics sorted into 17 broader medical disciplines. …”
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Finding the Number of Weak Homomorphisms of Paths by Tawatchai Pomsri, Wannasiri Wannasit, Sayan Panma

“…In this paper, we provide an algorithm to determine the number of weak homomorphisms of paths.…”
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The Classification of Patients with Chronic Pain: Age and Sex Differences by Andrew J Cook, Dania C Chastain

“…OBJECTIVE: To further develop an empirically based classification system for chronic pain patients through the examination of age and sex differences, and incorporation of pain duration in the grouping algorithm.…”
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FEATURES MAKING MANAGEMENT DECISIONS OF THE COMPANY UNDER RISK by V. Zhukov

“…A company's risk management algorithm.…”
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Hamiltonian-connected graphs and their strong closures by Pak-Ken Wong

“…We also give an efficient algorithm to compute the strong closure of G.…”
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Fractal multiwavelets related to the cantor dyadic group by W. Christopher Lang

“…Orthogonal wavelets on the Cantor dyadic group are identified with multiwavelets on the real line consisting of piecewise fractal functions. A tree algorithm for analysis using these wavelets is described. …”
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𝑞-Gaussian Distributions: Simplifications and Simulations by Paweł J. Szabłowski

“…We present some properties of measures (𝑞-Gaussian) that orthogonalize the set of 𝑞-Hermite polynomials. We also present an algorithm for simulating i.i.d. sequences of random variables having 𝑞-Gaussian distribution.…”
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