Application of Naive Bayes and Forward Chaining Methods in a Web-Based Expert System for Stunting Diagnosis in Toddlers by Ayu Fadilah, Raissa Amanda Putri

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Automatic detection of non-convulsive seizures: A reduced complexity approach by Tazeem Fatma, Omar Farooq, Yusuf U. Khan, Manjari Tripathi, Priyanka Sharma

“…The main advantage of this study lies in the fact that no classifier is used here and hence algorithm is very simple and computationally fast. …”
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A Novel Minimization Method for Sensor Deployment Via Heuristic 2-Sat Solution by Waleed Ahmed, Ali Muhammad Ali Rushdi

“…In this paper, we introduce these minimization algorithms for the sensor deployment problem. We also contribute a greed-based heuristic, which utilizes the fact that the pertinent propositional formulas have variables of purely un-complemented literals. …”
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Special Generation of Random Graphs and Statistical Study of Some of Their Invariants by Boris Melnikov, Bowen Liu

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Prediction method of gas emission in working face based on feature selection and BO-GBDT by MA Wenwei

“…Five feature selection algorithms were applied to filter the dataset, and the model fit, computational time, and prediction accuracy of each feature combination in the GBDT model were analyzed. …”
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Discovering and modeling hidden periodicities in science data by Antonio Napolitano, William A. Gardner

“…Wold, written more than half a century ago, following which the treatise focuses on a paradigm shifting advance in theory and methodology for characterizing hidden periodicities that was initiated by the second author in the mid-1980s and further advanced by both authors since then, including a plethora of algorithms for performing the needed computations in applications. …”
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Error correction in the transmission and processing of information, provided in RNS, by method of syndrome decoding by Nikolay Ivanovich Chervyakov, Nikolay Nikolaevich Nagornov

“…Considered the most widely used algorithms for detecting, locating and correcting errors in the RNS, as well as concrete examples of their use. …”
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Data Mining Classification Techniques for Diabetes Prediction by Hindreen Rashid Abdulqadir, Adnan Mohsin Abdulazeez, Dilovan Assad Zebari

“…The fact that disease recognition and investigation require many details, data mining plays a critical role in healthcare. …”
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Analysis of random factors of the self-education process by A. A. Solodov

“…The fruitfulness of the approach is confi rmed by the fact that algorithms to determine all the basic statistical characteristics of all the considered types of random processes of the occurrence of events are indicated and for simple cases analytical expressions are obtained.…”
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Neoantigen prioritization based on antigen processing and presentation by Serina Tokita, Serina Tokita, Takayuki Kanaseki, Takayuki Kanaseki, Toshihiko Torigoe

“…On the other hand, since most somatic mutations differ from patient to patient, neoantigen-targeted immunotherapy is personalized medicine and requires their identification in each patient. Computational algorithms and machine learning methods have been developed to prioritize neoantigen candidates. …”
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Minimizing the Makespan for a Two-Stage Three-Machine Assembly Flow Shop Problem with the Sum-of-Processing-Time Based Learning Effect by Win-Chin Lin

“…The performances of adopted algorithms are subsequently compared through computational experiments and nonparametric statistical analyses, including the Kruskal–Wallis test and a multiple comparison procedure.…”
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SMS Spam Detection System Based on Deep Learning Architectures for Turkish and English Messages by Hakan Can Altunay, Zafer Albayrak

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Retracted: Research on GNSS-Assisted Low-Cost INS Combined Navigation Moving Base Initial Alignment Technique by Mengbo Sun, Jian Huang, Pengcheng Hu, Xiaohui Song, Zhu Li

“…Firstly, this paper analyses the impact of accelerometer zero bias on the accuracy of multi-vector construction and proposes an improved vector construction method, which approximates the suppression of the error caused by the accelerometer zero bias accumulating over time by vector subtraction instead of sliding window integration and also overcomes the impact of the OBA algorithm’s computational increase and memory occupation caused by the fact that the sliding window integration needs to store and integrate the data in the window. …”
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Multi-word units (and tokenization more generally): a multi-dimensional and largely information-theoretic approach by Stefan Th. Gries

“…However, it is obvious that this is a simplifying assumption borne out of convenience: clearly, it seems more intuitive to consider because of or in spite of as one unit each rather than two or three. Some work in computational linguistics has developed multi-word unit (MWU) identification algorithms, which typically involve co-occurrence token frequencies and association measures (AMs), but these have not become widespread in corpus-linguistic practice despite the fact that recognizing MWUs like the above will have a profound impact on just about all corpus statistics that involve (simplistic notions of) words/units. …”
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Performance Improvement of Ensemble Empirical Mode Decomposition for Roller Bearings Damage Detection by Ali Akbar Tabrizi, Luigi Garibaldi, Alessandro Fasana, Stefano Marchesiello

“…It is shown that the proposed method (performance improved EEMD) achieves higher damage detection success rate and creates larger Margin than the original algorithm. It leads to a substantially low trial numbers required to achieve perfect labelling of samples; in turn this fact leads to considerably less computational cost. …”
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Performance Comparison of Data Reduction Techniques for Wireless Multimedia Sensor Network Applications by Pinar Sarisaray-Boluk, Kemal Akkaya

“…In this paper, we investigate the performance of various BS algorithms and compression techniques in terms of computation and communication energy, time, and quality. …”
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How Recent Findings in Electromyographic Analysis and Synergistic Control Can Impact on New Directions for Muscle Synergy Assessment in Sports by Alessandro Scano, Valentina Lanzani, Cristina Brambilla

“…We identified several margins for improvement, which include novel models and updated algorithms: the separation of the EMG components (phasic and tonic) leading repertoires of synergies for motion and holding posture; the choice of multiple synergistic models (spatial/temporal/time-varying and others); the connection of synergies with the task space and the consequent role of non-linearities; the use of computational models and digital twins; and the fields and sports in which synergies can be applied. …”
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TCB: A feature transformation method based central behavior for user interest prediction on mobile big data by Chen Zhou, Hao Jiang, Yanqiu Chen, Jing Wu, Jianguo Zhou, Yuanshan Wu

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Technique of Performance Improvement of the Microprocessor-Based Protection Measuring Element by F. A. Romaniuk, V. Yu. Rumiantsev, I. A. Novash, Yu. V. Rumiantsev

“…This leads to the fact that the signal determining time at the output of the measuring element is delayed to unacceptable values that in some cases makes the high-speed protection of electrical equipment ineffective. …”
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THE SIMULATION OF ELECTRICAL SIGNALS PROPAGATION IN THE HEART MUSCLE OF THE HUMAN USING SOFTWARE PACKAGE COMSOL by A. V. Dyadova, A. S. Ogorodnikov

“…In particular, you should consider the fact that the geometry created by the heart muscle will be enough simplified with the average size of a real heart and will be 54 × 54 × 70 mm.At the stage of construction of computing algorithms to the mathematical model mathematical methods to its algorithmization was used. …”
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