Abnormal link detection algorithm based on semi-local structure by Haoran SHI, Lixin JI, Shuxin LIU, Gengrun WANG

“…With the research in network science, real networks involved are becoming more and more extensive.Redundant error relationships in complex systems, or behaviors that occur deliberately for unusual purposes, such as wrong clicks on webpages, telecommunication network spying calls, have a significant impact on the analysis work based on network structure.As an important branch of graph anomaly detection, anomalous edge recognition in complex networks aims to identify abnormal edges in network structures caused by human fabrication or data collection errors.Existing methods mainly start from the perspective of structural similarity, and use the connected structure between nodes to evaluate the abnormal degree of edge connection, which easily leads to the decomposition of the network structure, and the detection accuracy is greatly affected by the network type.In response to this problem, a CNSCL algorithm was proposed, which calculated the node importance at the semi-local structure scale, analyzed different types of local structures, and quantified the contribution of edges to the overall network connectivity according to the semi-local centrality in different structures, and quantified the reliability of the edge connection by combining with the difference of node structure similarity.Since the connected edges need to be removed in the calculation process to measure the impact on the overall connectivity of the network, there was a problem that the importance of nodes needed to be repeatedly calculated.Therefore, in the calculation process, the proposed algorithm also designs a dynamic update method to reduce the computational complexity of the algorithm, so that it could be applied to large-scale networks.Compared with the existing methods on 7 real networks with different structural tightness, the experimental results show that the method has higher detection accuracy than the benchmark method under the AUC measure, and under the condition of network sparse or missing, It can still maintain a relatively stable recognition accuracy.…”
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Improved Image Compression Scheme Using Hybrid Encoding Algorithm by Yusra Ahmed Salih, Aree Ali Mohammed, Loay Edwar George

“…The performance of the proposed scheme is evaluated by using different metrics such as (PSNR, compression ratio and encoding time). …”
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Topology of Complex Networks and Performance Limitations of Community Detection Algorithms by Muhammad Qasim Pasta, Faraz Zaidi

“…In this paper, we attempt to highlight this problem by studying networks with different topologies and evaluate the performance of community detection algorithms in the light of these topological changes. …”
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APPLICATION OF THE WORD2VEC ALGORITHM FOR CLINICAL DIAGNOSIS DETERMINATION by Uzeyir Gurbanli

“…It also focuses on evaluating the quality of diagnostic and treatment processes through applıcation of different methods and practical application. …”
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Psychosemantic approach as the basis for the algorithmization technology of processing educational information by Elena V. Tsupikova, Margarita V. Tsyguleva

“…Semantic principles (matching of logical and linguistic categories, considering the text from the inner and outer speech, considering the text as cognitive and communicative essence; differentiation between the meaning and sense as between the semantics of the outer speech and the semantics of thinking; identification of semantic relationships between information elements, etc.), psychological and pedagogical principles (self-reflection support of learning activity; self-motivation due to determining usefulness and applicability of information; self-organization of students while creating their own algorithms of learning activity, etc.), and psycholinguistic principles (building logical supporting schemes, analogues of universal subject codes; semantic evaluation of the quantitative and qualitative characteristics of information, etc.)of work with scientific and educational profession-oriented information are described and correlated with the learning content and mechanisms of students verbal and cognitive activity. …”
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Applying of Kutter-Jordan-Bossen steganography algorithm to video sequences by N. V. Lysenko, G. M. Labkov

“…The influence of different types of noise on the algorithm stability is evaluated. …”
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Multi-Feature Facial Complexion Classification Algorithms Based on CNN by Xiyuan Cao, Delong Zhang, Chunyang Jin, Zhidong Zhang, Chenyang Xue

“…The comprehensive evaluation reveals that multi-feature fusion and splicing classification algorithms achieve accuracies of 95.98% and 93.76%, respectively. …”
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A Brand-New Algorithm for Mapping Algal Biomass in Lakes by Zhengyang Yu, Ronghua Ma, Minqi Hu, Kun Xue, Zhigang Cao, Junfeng Xiong

“…Column-integrated algal biomass has been recognized as a more logical proxy for the evaluation of lake eutrophication. Here, an algorithm with a 3-step framework is put forward for algal biomass mapping in 3 lakes of China (Lake Hongze, Lake Taihu, and Lake Chaohu). …”
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Computation task offloading algorithm and system level simulation for vehicles by Qicheng ZENG, Yuxuan SUN, Sheng ZHOU

“…With the development of autonomous driving and vehicular network,more and more vehicles will have powerful computing capabilities and connection with each other via wireless network.These computing resources can not only be applied to automatic driving,but also provide a wide range of edge computing services.Aiming at the task offloading among vehicles,a distributed task offloading algorithm based on online learning was proposed to minimize the average offloading delay.Furthermore,a system-level simulation platform was built to evaluate the impact of vehicle density and number of tasks on the average offloading delay in both highway and urban scenarios.The results provide a reference for the resource allocation and deployment of task offloading in different traffic situations.…”
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Graph partition based mapping algorithm on multiprocessors for streaming applications by Qi TANG, Shang-feng WU, Jun-wu SHI, Ji-bo WEI

“…To take advantage of multiprocessor platform,it is a necessity to map tasks of the application properly onto different processors to exploit the concurrency in the application and thus meet the stringent timing requirements.Parallelism graph was proposed to quantify and model the concurrency among tasks of the application.An algorithm was also proposed to construct the parallelism graph based on the self-timed schedule and transform the mapping problem to a graph partitioning problem.The graph partitioning problem as a pure 0-1 integer linear programming model was further formulated and the ILP solver to find the optimal result.A lot of randomly generated synchronous dataflow graphs and a set of practical applications were used to evaluate the performance of the proposed method.The experimental results demonstrate that the proposed method outperforms available algorithms.…”
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Graph partition based mapping algorithm on multiprocessors for streaming applications by Qi TANG, Shang-feng WU, Jun-wu SHI, Ji-bo WEI

“…To take advantage of multiprocessor platform,it is a necessity to map tasks of the application properly onto different processors to exploit the concurrency in the application and thus meet the stringent timing requirements.Parallelism graph was proposed to quantify and model the concurrency among tasks of the application.An algorithm was also proposed to construct the parallelism graph based on the self-timed schedule and transform the mapping problem to a graph partitioning problem.The graph partitioning problem as a pure 0-1 integer linear programming model was further formulated and the ILP solver to find the optimal result.A lot of randomly generated synchronous dataflow graphs and a set of practical applications were used to evaluate the performance of the proposed method.The experimental results demonstrate that the proposed method outperforms available algorithms.…”
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Stochastic differential equation modeling approach for grading astrocytomas on brain MRI images by Mahsa Raisi-Nafchi, Mahnoosh Tajmirriahi, Hossein Rabbani, Zahra Amini

“…Three classification algorithms were evaluated: support vector machine, K-nearest neighbor, and random forest. …”
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An Entropy Optimizing RAS-Equivalent Algorithm for Iterative Matrix Balancing by Chlebus, Edward, Kasapu, Viswatej

“…The latter is fully equivalent to the well-known RAS balancing algorithm. The presented method has been evaluated using a traffic matrix of the GÉANT pan-European network and randomly generated matrices of various sparsities. …”
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Research on reconfigurable service carrying network active protection algorithms by Ning QI, Bin-qiang WANG, Zhi-ming WANG

“…To construct reconfigurable service carrying network (RSCN) in reconfigurable flexible network (RFNet) infrastructure could provide traffic specific communication services for different end users.This could effectively solve the puzzle faced by traditional Internet infrastructure.Because of the blight of network failure,active protection problems of RSCN were discussed.Mathematics model of RSCN active protection issues were established.To avoid enormous influence because of important resource failure,a resource stress factor (RSF) awareness main link construction algorithm named RSF-aware MLCA was proposed.To improve success running ratio and reduce network link failure loss of RSCN,a RSCN protection link construction algorithm named RPLCA was implemented.Considering of the two sub-algorithms,RSCN active protection algorithm named RAPA was designed.The efficiency of algorithms was evaluated by emulation experiments according to RSCN success running ratio and main link utilization ratio and average network link failure loss under several scenarios.…”
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Research on reconfigurable service carrying network active protection algorithms by Ning QI, Bin-qiang WANG, Zhi-ming WANG

“…To construct reconfigurable service carrying network (RSCN) in reconfigurable flexible network (RFNet) infrastructure could provide traffic specific communication services for different end users.This could effectively solve the puzzle faced by traditional Internet infrastructure.Because of the blight of network failure,active protection problems of RSCN were discussed.Mathematics model of RSCN active protection issues were established.To avoid enormous influence because of important resource failure,a resource stress factor (RSF) awareness main link construction algorithm named RSF-aware MLCA was proposed.To improve success running ratio and reduce network link failure loss of RSCN,a RSCN protection link construction algorithm named RPLCA was implemented.Considering of the two sub-algorithms,RSCN active protection algorithm named RAPA was designed.The efficiency of algorithms was evaluated by emulation experiments according to RSCN success running ratio and main link utilization ratio and average network link failure loss under several scenarios.…”
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A Partition-Based Hybrid Algorithm for Effective Imbalanced Classification by Kittipong Theephoowiang, Anantaporn Hanskunatai

“…To further evaluate its performance, the study compares the proposed algorithm with previous methods using G-Mean. …”
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Selective Feature Fusion Based Adaptive Image Segmentation Algorithm by Qianwen Li, Zhihua Wei, Wen Shen

“…In this paper, we firstly propose a selective feature fusion algorithm to choose the best feature set by evaluating the results of presegmentation. …”
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Metaheuristic Algorithms to Determine PID Controller Parameters for Mobile Robots by DINH Quy Long, NGUYEN Tuan Minh, NGUYEN The Dung

“…The methods are thoroughly classified and evaluated, focusing on popular algorithms such as GA, PSO, FLC, among others. …”
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CT imaging features and diagnostic algorithm for hepatic cystic echinococcosis by Hao Zhang, Li Zhang, Chi Zhang, Yan-hao Zhu, Yi-en Hong, Lin Li, Li Lai

“…Imaging findings were correlated with pathological results. A diagnostic algorithm was developed and validated, with inter-observer agreement assessed using Fleiss kappa coefficient. …”
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Algorithms and probabilistic models of parameters of operation of in-plant power supply by E. I. Gracheva, O. V. Naumov, A. N. Gorlov, Z. M. Shakurova

“…To address the problems of the functioning of the SES. To develop algorithms for evaluating the parameters of the efficiency of the functioning of the systems of intra-plant power supply. …”
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