Extending structural subsumption reasoning algorithms for ontology matching by Jian-xin LIAO, Xiu-lei LIU, Xiao-min ZHU, Hai-feng SUN, Jing-yu WANG

Subjects: “…structural subsumption reasoning algorithms…”
Get full text

Algorithm for optimization of cold‑rolled pipe rolling routes by S. V. Pilipenko

Subjects: Get full text

The Optimization Algorithm for Large-Scale In Situ Stress Field by Fei Li, Ningdong Chang

“…In order to reduce the computing cost without losing the accuracy of the calculation, an optimization algorithm combined with a reduced order model, which is realized by the proper orthogonal decomposition algorithm (POD) for large-scale in situ stress field, is put forward in this paper. …”
Get full text

Retracted Article: Using bibliometrics to understand algorithmic finance by Hanan Qudah, Bassam Khalil Atallah Baqila, Jomana Mustafa Odah Albadienah, Mohammad Zakaria AlQudah, Shatha Al Qudah, Samer Alrahamneh, Ahmad Ababne, Ishraq Qudah

Get full text

A Method for Improving the Accuracy of Link Prediction Algorithms by Jie Li, Xiyang Peng, Jian Wang, Na Zhao

“…These algorithms help identify actual missing and false links in various networks. …”
Get full text

Region inpainting algorithm of mouth-muffles for facial recognition by Yue LI, Yaguan QIAN, Xiaohui GUAN, Wei LI, Bin WANG, Zhaoquan GU

“…Facial recognition under occlusion is a well-known difficult problem in real scenes.Especially after the outbreak of COVID-19, in airports, stations and other places that need to verify the identity of visitors, the mouth-muffle occlusion greatly reduces the facial features that can be important for identification, and the accuracy of face recognition algorithm decreases.Face de-occlusion was studied, and a novel framework was proposed to restore face, which used the edge generation network to generate edge maps.On this basis, the occluded region was restored by the region completion network while preserving identity information.In order to improve the performance, the spatial weighted adversarial loss and identity-preserving loss were introduced to train the above two networks.Then two face datasets with mouth-muffles were constructed by face landmarks.The experimental results show that the accuracy of facial recognition algorithm ArcFace on the face dataset restored by the proposed model was 98.39%, which was 4.13% higher than that of directly using ArcFace.…”
Get full text

Predicting Heart Diseases by Selective Machine Learning Algorithms by N. Umar, S. K. Hassan, A. Umar, S. S. Ahmed

“…Consequently, the objective of this paper was to predict heart diseases using selective machine learning algorithms.  The leverage technique was evaluated using the Cleveland heart disease dataset. …”
Get full text

Solution Algorithms for the Capacitated Location Tree Problem with Interconnections by Nidia Mendoza-Andrade, Efrain Ruiz-y-Ruiz, Suemi Rodriguez-Romo

“…Algorithms…”
Get full text

DIGITISATION OF LEGAL ALGORITHMS TO PREVENT PUBLIC PROCUREMENT CORRUPTION by Oleksii Makarenkov

Subjects: “…algorithm…”
Get full text

Pruning automatic sphere decoding algorithm and performance analysis by LI Ying, WEI Ji-bo

“…A pruning automatic sphere decoding（PASD） algorithm was presented to reduce the complexity and keep the efficiency of ASD simultaneously.The proposed algorithm efficiently reduced the size of the border node list in ASD by statistical pruning,and obtained the tradeoff between the performance of symbol error ratio（SER） and complexity by setting reasonable parameter’s values.Analysis and simulation show that for a higher level（more than 4） modulation,PASD is able to reduce the number of comparisons by at least 30% as compared to ASD without much penalty of the performance in the same SNR region.…”
Get full text

An Innovative Thinking-Based Intelligent Information Fusion Algorithm by Huimin Lu, Liang Hu, Gang Liu, Jin Zhou

“…Furthermore, the influences of each parameter of this algorithm on algorithm performance are analyzed and compared with those of classical intelligent algorithms trough test. …”
Get full text

Frequent-pattern discovering algorithm for large-scale corpus by GONG Cai-chun1, HE Min1, CHEN Hai-qiang1, XU Hong-bo1, CHENG Xue-qi1

“…A memory-based frequent-pattern discovering algorithm for large-scale corpus was presented.First,the origi-nal corpus was partitioned into several parts using appropriate dividing policy.Then each partition was processed inde-pendently to produce a temporary result,and the union of all temporary results is the final frequent-pattern set.The algo-rithm prunes a subtree once it is sure that none of the corresponding pattern will be frequent.Experiment shows that it takes no more than 1.6 gigabytes of memory to discover all patterns appearing more than 100 times for a 3.6 gigabytes news corpus,the average speed is 3.28 magabytes per second.…”
Get full text

Algorithm of selecting the tear replacement therapy in ambulatory practice by V.V. Brzheskiy

“…Petersburg State Pediatric Medical University<br> <br> <b>Aim</b>: to determine the algorithm for selecting artificial tears for tear-replacement therapy for patients with different etiopathogenesis and clinical course of the dry eye syndrome.…”
Get full text

Furniture design based on image color extraction algorithm by Binglu Chen, Guanyu Chen, Qianqian Hu

Subjects: Get full text

Communication community detection algorithm based on ranking of strength by Hong-quan WEI, Hong-chang CHEN, Li-xiong LIU, Ju-long LAN

“…According to the characteristics of how to effectively describe real weighted network of the current telecom network problems,improvement and development of related models of complex networks,especially for communication community detection results hierarchy was not clear and the problem of high complexity,from the analysis of the characteristics of complex network,a new algorithm for community detection design communication.The algorithm to achieve effective communication strength ranking method based on community detection in communication,communication density distribution of generating high resolution based on hierarchical nesting tree,the distance vector pruning nested tree,the level of analysis and structure of community stability and reduce the computational complexity.The algorithm is verified using real network data.…”
Get full text

DBSCAN inspired task scheduling algorithm for cloud infrastructure by S.M.F D Syed Mustapha, Punit Gupta

“…The experimental results are compared with existing ACO and PSO algorithms for task scheduling.…”
Get full text

AdaBoost algorithm based on fitted weak classifier by Pengfeng SONG, Qingwei YE, Zhihua LU, Yu ZHOU

“…AdaBoost algorithm was proposed to minimize the accuracy caused by weak classifiers by minimizing the training error rate,and the single threshold was weaker and difficult to converge.The AdaBoost algorithm based on the fitted weak classifier was proposed.Firstly,the mapping relationship between eigenvalues and marker values was established.The least squares method was introduced to solve the fitting polynomial function,and the continuous fitting values were converted into discrete categorical values,thereby obtaining a weak classifier.From the many classifiers obtained,the classifier with smaller fitting error was selected as the weak classifier to form a new AdaBoost strong classifier.The UCI dataset and the MIT face image database were selected for experimental verification.Compared with the traditional Discrete-AdaBoost algorithm,the training speed of the improved algorithm was increased by an order of magnitude.And the face detection rate can reach 96.59%.…”
Get full text

Alternating Projections Filtering Algorithm to Track Moving Objects by Youssef Qranfal

“…The new optimization algorithm proves to be slightly more accurate than KF, but, more to the point, it is much faster in terms of CPU time.…”
Get full text

Game-theoretical frequency reuse algorithm in Femtocell network by Xiong ZHOU, Sui-li FENG, Yue-hua DING, Yong-zhong ZHANG

“…A game-theoretical frequency reuse algorithm has been proposed for Femtocell network.Firstly,each Femtocell tries to get an available sub-band by sensing its radio circumstance.Then,inner-cluster frequency collisions are avoided by implementing a negotiation mechanism.Lastly,each cluster is regarded as a game player to get the largest utility by using its optimal strategy.Despite Femtocell base stations are randomly installed by users,the proposed method performs well in Femtocell network.Simulation results show that frequency collisions are dramatically reduced and the average capacity of Femtocells is considerably enhanced.…”
Get full text

Contrast enhancement of digital images using dragonfly algorithm by Soumyajit Saha, Somnath Chatterjee, Shibaprasad Sen, Diego Oliva, Marco Perez-Cisneros, Ram Sarkar

Subjects: “…Dragonfly algorithm…”
Get full text