Development of a pediatric obstructive sleep apnea triage algorithm by D. S. Heath, H. El-Hakim, Y. Al-Rahji, E. Eksteen, T. C. Uwiera, A. Isaac, M. Castro-Codesal, C. Gerdung, J. Maclean, P. J. Mandhane

“…The third algorithm, where MOS was used to stratify risk for AT among those children with 2+ tonsils, had the same OR, sensitivity, and specificity as the tonsil-only algorithm. …”
Get full text

Adaptive fractional-order Darwinian particle swarm optimization algorithm by Tong GUO, Ju-long LAN, Yu-feng LI, Shi-wen CHEN

“…Testing results on several well-known functions demonstrate that AFO-DPSO substantially enhances the performance in terms of convergence speed, solution accuracy and algorithm stability. Compared with PSO, HPSO, DPSO, APSO, FO-PSO, FO-DPSO and NCPSO, the global optimality of AFO-DPSO are greatly improved.…”
Get full text

Interference elimination based spectrum allocation algorithm for cognitive radio by Wen-feng DU, Ya-tao LIU, Zhong MING, Yin-xue SUI

“…With the spectrum allocation process in cognitive radio network,an interference elimination based spectrum allocation algorithm was proposed to improve the utilization of spectrum by allocating available spectrum to all cognitive users which can simultaneously access the same spectrum without interference.Meanwhile,this algorithm would allocate spectrum to cognitive user,which had not been assigned in previous allocation process,with reference to the amount of available spectrums in the initial stage to optimize t fairness of spectrum allocating process.Extensive simulation results show the proposed algorithm can achieve better throughput when the amount of available spectrum is far less that of cognitive user.…”
Get full text

Research and application of traffic engineering algorithm based on deep learning by Daoyun HU, Jin QI, Qianchun LU, Feng LI, Hongqiang FANG

“…With the development and application of 5G network, the amount of traffic in network increased rapidly, which caused the lack of bandwidth resource.In order to improve the utilization of network resource and satisfy the critical user requirement for QoS (quality of service), a novel traffic engineering algorithm based on deep learning in SDN was proposed.At last, simulation results show that the proposed algorithm not only can calculate an efficient path for service in real time, but also can improve the QoS and the utilization of network resource, as well as reduce network congestion.…”
Get full text

Optimum iterative water-filling algorithm for cognitive MIMO MAC by Fei WEI, Zhen YANG

“…The sum-rate maximization problem of the cognitive multiple-input multiple-output multiple access channel (MIMO MAC) under transmit power and interference temperature constraints was addressed.By exploiting the partial dual decomposition technique to relax the interference temperature constraint,the original problem was decomposed into more tractable subproblems.An iterative algorithm,in which the dual variable update and the iterative water-filling computation were performed alternately,was proposed to obtain the optimum transmit covariance matrices that achieved the maximum sum-rate.Finally,simulation results have been presented to verify the effectiveness of the algorithm.…”
Get full text

Logical derivation and integrating legal knowledge bases: basic algorithms by Laima Paliulionienė

“…In this article we present comparison and combining algorithms based on derivation by model generation. …”
Get full text

Credit card fraud detection through machine learning algorithm by Agyan Panda, Bharath Yadlapalli, Zhi Zhou

“…To help fraud investigators, more algorithms are turning to powerful machine learning methodologies. …”
Get full text

Interactive Visualization of the Printed Circuits Tracing Algorithms for Educational Purposes by D. O. Petrov

Subjects: Get full text

Pixel feature-weighted scale-adaptive object tracking algorithm by Hui-lan LUO, Fang-fang DU, Fan-sheng KONG

“…An effective object tracking method using weighted pixel features was proposed to deal with all kinds of complicated tracking situations,such as target movement,rotation,background interference and scaling and so on.First,the color feature and location information of the pixels in the target area were used to build the object model.Then the average weight image was used to estimate the scale variation coefficient.The aim was to adapt to the scale changes of the target.Finally,an update model was proposed,which was able to renew the object model and background model.The experimental results show that the proposed algorithm could make full use of the differences between pixels in the target area,so it can track more quickly and more effectively with strong robustness.…”
Get full text

Spectrum sensing algorithm based on the eigenvalue of Wishart random matrix by Xuemei YANG, Xi HE, Jiapin XU

“…In order to improve the spectrum sensing performance and overcome the shortcomings of the classical algorithm,a new cooperative spectrum sensing algorithm based on Wishart random matrix theory was proposed.According to the logarithmic distribution characteristics of the sampled covariance matrix eigenvalues and using the ratio of maximum eigenvalue and geometric mean eigenvalue,a simple closed-form threshold expression could be obtained,and the spectrum sensing decision could be performed depend on the threshold.The simulation results show that the proposed algorithm can get better sensing performance even under the conditions of a few number of cooperative users,low signal to noise ratio and a few samples.It is less affected by false-alarm probability and the extreme values,and has better detection performance than similar algorithms.…”
Get full text

A Decomposition-Based Evolutionary Algorithm with Neighborhood Region Domination by Hongfeng Ma, Jiaxu Ning, Jie Zheng, Changsheng Zhang

“…The decomposition-based multi-objective optimization algorithm MOEA/D (multi-objective evolutionary algorithm based on decomposition) introduces the concept of neighborhood, where each sub-problem requires optimization through solutions within its neighborhood. …”
Get full text

Domain name generation algorithm based on improved Markov chain by QIAN Zhiye, LI Xue, LI Suogang

Subjects: “…domain name generation algorithm…”
Get full text

An Algorithm for Fuzzification of WordNets and its Application in Sentiment Analysis by Yousef Alizadeh-Q, ‌‌Behrouz Minaei Bidgoli, Sayyed Ali Hossayni, Mohammad-R Akbarzadeh-T, Diego Reforgiato Recupero, Aldo Gangemi

“…A theoretical proof is also proposed for the validity of results of the proposed algorithm. Then, inputting the open-American-online-corpus (OANC) and UKB word-sense-disambiguation to the algorithm, we construct and publish online the fuzzified version English WordNet (FWN), and apply them in a Sentiment Analysis problem.…”
Get full text

Multiple-Model Adaptive Estimation with A New Weighting Algorithm by Weicun Zhang, Sufang Wang, Yuzhen Zhang

“…A new scheme of weighted multiple-model adaptive estimation is presented, in which the classical weighting algorithm is replaced by a new weighting algorithm to reduce the calculation burden and to relax the convergence conditions. …”
Get full text

Application of Reinforcement Learning in Cognitive Radio Networks: Models and Algorithms by Kok-Lim Alvin Yau, Geong-Sen Poh, Su Fong Chien, Hasan A. A. Al-Rawi

“…It provides an extensive review on how most schemes have been approached using the traditional and enhanced RL algorithms through state, action, and reward representations. …”
Get full text

Regulation of Intellectual Property Rights (IPR) in Artworks by Robots and Algorithms by Febrina Raevita, Nur Lailatuka Syafa’atul Uzma, Muhammad Alfarizy

“…The aim of this research is to determine the identification of copyright owners in the context of works of art created by robots and algorithms, as well as explain the protection of moral and commercial rights for creators of works of art that involve the use of robotic technology and algorithms. …”
Get full text

Convergence of a Proximal Point Algorithm for Solving Minimization Problems by Abdelouahed Hamdi, M. A. Noor, A. A. Mukheimer

“…We introduce and consider a proximal point algorithm for solving minimization problems using the technique of Güler. …”
Get full text

Improved Delay-and-Sum Beamforming Algorithm for Breast Cancer Detection by M. Klemm, I. J. Craddock, J. A. Leendertz, A. Preece, R. Benjamin

“…We have evaluated a modified delay-and-sum (DAS) beamforming algorithm for breast cancer detection with a microwave radar-based system. …”
Get full text

ISI sparse channel estimation based on ISL0 algorithm by Ting LIU, Jie ZHOU, CHIJiu-he JU

Subjects: Get full text

Node localization algorithm based on kernel function and Markov chains by ZHAO Fang1, LUO Hai-yong2, LIN Quan3, MA Yan4

“…To position indoor objects accurately and robustly,a novel node localization based on kernel function and Markov chains was presented,which employs Bayesian filter framework and radio fingerprinting technology.It uses kernel function to construct likelihood function to take full advantage of the similarity between observation and several training samples,which avoids the error brought by employing a priori determined distribution model.Furthermore,the proposed algorithm uses Markov chains to improve the localization accuracy and shorten the positioning time.It limits the search space of the matching grids with object’s previous state and the environment layout,and refuses the object’s impossible position jump during the moving process.Experiments confirm that the proposed localization outperforms the algorithm with Gaussian distribution model.…”
Get full text