Monitored Reconstruction: Computed Tomography as an Anytime Algorithm by Konstantin Bulatov, Marina Chukalina, Alexey Buzmakov, Dmitry Nikolaev, Vladimir V. Arlazarov

“…Due to stopping at different times for different objects, the proposed approach allows to achieve a higher mean reconstruction quality for a given mean number of X-ray projections. …”
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Optimasi Algoritma Naive Bayes dengan Diskritisasi K-Means pada Diagnosis Penyakit Jantung by Nafa Fajriati, Budi Prasetiyo

“…K-means discretization changes the value of each continuous attribute into discrete categories in the form of k clusters formed from the K-means algorithm process. …”
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Hybrid Genetic Algorithm with Filters to Image Enhancement by Baydaa Bhnam

“…The new suggested algorithm <strong>HGAF</strong> uses popular (mean , median and min-max filters) and other proposed filters as fitness function for it in order to design eight proposed genetic filters. …”
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Algorithms for Searching the Shortest Path and Its Modification by N. I. Listopad, I. A. Karuk, A. A. Hayder

“…The basic algorithms and their modifications are described. Special attention is given to the modified Dijkstra's algorithm that takes into account QoS requirements. …”
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Algorithms for Searching the Shortest Path and Its Modification by N. I. Listopad, I. A. Karuk, A. A. Hayder

“…The basic algorithms and their modifications are described. Special attention is given to the modified Dijkstra's algorithm that takes into account QoS requirements. …”
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Application of Algorithms on Lattices in Post-Quantum Cryptography by Nikolai Urban, Elena Melnikova

“…The article presents a software package that allows the user to study the main functions of the GGH scheme: key generation algorithms, encryption algorithms and message decryption. …”
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Algorithm for finding subcritical paths on network diagrams by M. A. Аnfyorov

“…For substantiating the efficiency of the constructed algorithm, the validity of the main provisions was demonstrated as follows: firstly, the multilevel system of relations is exhaustive; secondly, there is no loss in the final solution during the operation of the algorithm; thirdly, the paths obtained as a result of the work of the algorithm satisfy the main required relation between them. …”
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Balanced Cluster Head Selection Based on Modified -Means in a Distributed Wireless Sensor Network by Sasikumar Periyasamy, Sibaram Khara, Shankar Thangavelu

“…The results show that Mk- means (modified k -means) algorithm was found to outperform the existing clustering algorithms owing to its unique multiple cluster head methodology.…”
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Parallel Algorithm for Solving the Graph Isomorphism Problem by Vladimir Vasilyevich Vasilchikov

“…Therefore, as for any time-consuming task, the question arises of accelerating its solution by parallelizing the algorithm. We used the RPM ParLib library developed by the author as the main tool to program the algorithm. …”
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Computational Algorithms Supporting the Bridge Management System by Lucjan Janas, Bartosz Miller, Adam Kaszyński

“…Second concerning proposition of algorithms for creating such list. A set of factors that affect this priority has been created; the three main ones were selected: technical condition factor, safety factor and the importance for the roads network factor. …”
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A Novel Algorithm in the Management of Hypoglycemia in Newborns by Swapna Naveen, Chikati Rosy, Hemasree Kandraju, Deepak Sharma, Tejopratap Oleti, Srinivas Murki

“…Conclusion. A new and novel algorithm in the management of hypoglycemia in neonates is as safe as the standard protocol and requires further testing before routine implementation.…”
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Application of an Improved CHI Feature Selection Algorithm by Liang-jing Cai, Shu Lv, Kai-bo Shi

“…So, this paper studies the CHI feature selection algorithm, and the main work and innovations are as follows: firstly, this paper analyzed the CHI algorithm’s flaws, determined that the introduction of new parameters will be the improvement direction of the CHI algorithm, and thus proposed a new algorithm based on variance and coefficient of variation. …”
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Fusion spectrum sensing algorithm based on eigenvalues by Wenjing ZHAO, He LI, Minglu JIN

“…Aiming at the problem of inefficient use of spectrum resources,a fusion spectrum sensing algorithm based on eigenvalues was proposed to effectively achieve dynamic spectrum sharing.The test statistics were constructed by employing the maximum eigenvalue,the trace and the geometric mean of all eigenvalues of the sample covariance matrix.The detection probability and false alarm probability of the proposed method were analyzed using the random matrix theory,and the analytical representation of the theoretical threshold was obtained.In addition,the parameter selection of the proposed algorithm was analyzed theoretically.Simulation results show that the proposed algorithm has better detection ability than the existing eigenvalue detection algorithm.…”
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Hybrid genetic algorithm based optimization of pilotpattern by Hanbing ZHENG, Xiang YU, Weiwei WANG

“…In OFDM system,sparse channel estimation based on compressed sensing(CS)can make full use of the inherent sparse degree of the wireless channel,which can reduce the pilot overhead and improve the spectrum efficiency.Therefore,a new method based on hybrid genetic algorithm was investigated for the pilot design of CS channel estimation,which was based on the minimization of the matrix cross correlation in the CS theory.In this method,genetic algorithm was used to obtain the initial sub-optimal pilot sequence,and then combined with the pilot position and pilot power,each entry of pilot pattern could be sequentially updated and optimized to make the minimum correlation of measurement matrix.Simulation results show that the proposed method can ensure a better mean square error and bit error rate compared to the pseudo-random pilot design and the equal distance pilot design.…”
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Nonlinear Gossip Algorithms for Wireless Sensor Networks by Chao Shi, Yuanshi Zheng, Hongbing Qiu, Junyi Wang

“…By using Lyapunov theory, Lagrange mean value theorem, and stochastic Lasalle’s invariance principle, we prove that the nonlinear single gossip algorithms can converge to the average of initial states with probability one. …”
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Technique for target recognition based on intuitionistic fuzzy c-means clustering and kernel matching pursuit by Yang LEI, Wei-wei KONG, Ying-jie LEI

“…Kernel matching pursuit requires every step of searching process be global optimal searching in the redundant dictionary of function.Namely,the dictionary learning time of KMP was too long.To the above drawbacks,a novel technique for KMP based on IFCM was proposed to substitute local searching for global searching by the property superiority of dynamic clustering performance,which was also the superiority in Intuitionistic fuzzy c-means algorithm.Then two testing including classification and effectiveness were carried out towards four real sample data.Subsequently,high resolution range profile (HRRP)was selected from the classical properties of target recognition in e middle ballistic trajectory,which were extracted for getting sub-range profile.Finally,three algorithms including FCM,KMP,IFCM-KMP were carried out respectively towards different kinds of sub-range profile samples in emulation platform,the conclusion of which fully demonstrates that the IFCM-KMP algorithm is superior over FCM and KMP when it comes to target recognition in the middle ballistic trajectory.…”
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Automatic Leak Detection in Buried Plastic Pipes of Water Supply Networks by Means of Vibration Measurements by Alberto Martini, Marco Troncossi, Alessandro Rivola

“…The experimental campaign is here described and discussed. The proposed algorithm, enhanced by means of proper signal filtering techniques, was successfully tested on all monitored leaks, thus proving effective for leak detection purpose.…”
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Research on Credit Card Default Prediction Based on k-Means SMOTE and BP Neural Network by Ying Chen, Ruirui Zhang

“…Aiming at the problem that the credit card default data of a financial institution is unbalanced, which leads to unsatisfactory prediction results, this paper proposes a prediction model based on k-means SMOTE and BP neural network. In this model, k-means SMOTE algorithm is used to change the data distribution, and then the importance of data features is calculated by using random forest, and then it is substituted into the initial weights of BP neural network for prediction. …”
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ALGORITHM FOR POST-BURN BACTERIAL SEPSIS DIAGNOSIS by B. V. Guzenko

“…In 78 patients of the main group the average meaning of the total area of the burn was 45.47 ± 1.91% of the body surface (bs); of the deep burn area - 21.76 ± 1.85% bs, while in 62 patients of the control group it was respectively 40.03 ± 2.29% and 23.74 ± 1.81%. …”
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Diagnostic algorithm for post-traumatic stress disorder by A. V. Vasileva, T. A. Karavaeva, D. S. Radionov, D. A. Starunskaya

“…The importance and complexity of a personalized examination are noted, the main stages, methods and diagnostic tools necessary for the clinical verification of PTSD are considered. …”
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