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Community detection algorithms
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Positron emission tomography (PET) is a type of nuclear medicine procedure that measures the metabolic activity of cells in body tissues that is well suited for detecting, staging and monitoring malignant tumours. In this paper, the authors have successfully developed the application based on the algorithm that they proposed.
10p
viambani
18-06-2024
2
1
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Continued part 1, part 2 of ebook "Graph algorithms: Practical examples in Apache Spark and Neo4j" provides readers with contents including: chapter 6 - community detection algorithms; chapter 7 - graph algorithms in practice; chapter 8 - using graph algorithms to enhance machine learning;...
131p
tieulangtran
28-09-2023
6
2
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In this paper, we present an algorithm to find overlapping communities in very large social networks. The algorithm is based on the label propagation technique, and we find the overlapping communities in the network by improving the clustering coefficient.
16p
vimulcahy
18-09-2023
7
4
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In the paper "Building and mining graph databases from biomedical heterogeneous networks", in order to explore the underlying knowledge in heterogeneous network data, we propose an approach to the Neo4J graph database and some graph algorithms such as PageRank, Community detection, and Similarity algorithm. Performing experiments on some heterogeneous data, we have obtained significant results, we can see that the proposed method improves efficiency, increases accuracy, and reduces execution time compared to traditional way of storing data.
9p
runordie3
27-06-2022
23
4
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High-throughput sequencing enables unbiased profiling of microbial communities, universal pathogen detection, and host response to infectious diseases. However, computation times and algorithmic inaccuracies have hindered adoption.
18p
viaristotle
29-01-2022
9
0
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Result shows the effectiveness of the combination where it achieved highest average fault detection rate, attained fastest execution time for highest number of test cases and accomplished 41.25% average rate of fault detection.
19p
spiritedaway36
28-11-2021
15
3
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This study contributes towards the ongoing research in detecting and mitigating slow HTTP DDoS attacks with emphasis on the use of machine learning classification and meta-heuristic algorithms.
28p
spiritedaway36
28-11-2021
17
1
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This paper, based on secondary research, discusses about mask detection enhancing identification quality on masked faces from current face recognition technologies, describes which dataset, library, methodlogy, algorithm used to develop project. All in all, the paper draws the conclusion that the purpose of this application is for the health of the community, contributing to the difficult situation of the world today, to repel the epidemic quickly.
7p
huyetthienthan
23-11-2021
13
2
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In recent years, optical orthogonal frequency division multiplexing (OOFDM) has emerged as a dominant research and development area in the field of high-speed optical communications. OFDM is a potential candidate as the most promising next-generation optical networks such as passive optical networks and optical transport networks, due to their simple configuration based on low cost, high speed data rates, high spectral efficiency, high quality of service and robustness against narrow band interference, frequency selective fading, and chromatic dispersion.
99p
nguathienthan12
18-05-2021
17
6
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This paper investigates the performance of the 1-bit ADC in the wireless coded communication systems where the robust channel coding, protograph low-density parity-check code (LDPC), is employed. The investigation reveals that the performance of the conventional 1-bit ADC with the truncation limit of 3-sigma is severely destroyed by the quantization distortion even when the number of antennas increases to 100.
10p
nguaconbaynhay11
07-04-2021
19
2
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Identification of transcription factor binding sites (also called ‘motif discovery’) in DNA sequences is a basic step in understanding genetic regulation. Although many successful programs have been developed, the problem is far from being solved on account of diversity in gene expression/regulation and the low specificity of binding sites.
14p
viwyoming2711
16-12-2020
18
1
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Biomarker detection presents itself as a major means of translating biological data into clinical applications. Due to the recent advances in high throughput sequencing technologies, an increased number of metagenomics studies have suggested the dysbiosis in microbial communities as potential biomarker for certain diseases.
17p
viflorida2711
30-10-2020
12
1
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Community detection algorithms are fundamental tools to uncover important features in networks. There are several studies focused on social networks but only a few deal with biological networks. Directly or indirectly, most of the methods maximize modularity, a measure of the density of links within communities as compared to links between communities.
25p
vijisoo2711
27-10-2020
6
0
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High-throughput sequencing can establish the functional capacity of a microbial community by cataloging the protein-coding sequences (CDS) present in the metagenome of the community. The relative performance of diferent computational methods for identifying CDS from whole-genome shotgun sequencing is not fully established.
13p
vicolorado2711
22-10-2020
7
0
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In this thesis, we have proposed a completed the algorithms, window size and theeshold values for fall detection using a 3-DOF accelerometer, a MQ7 sensor, a micro controller, and the coresponding embedded algorithms.
0p
tamynhan0
04-07-2020
13
2
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Lecture Wireless and mobile computing – Chapter 24: Coding and error control (Review/Recap). The following will be discussed in this chapter: Parity, cyclic redundancy check (CRC) CRC for more than a bit error, CRC algorithms, ECC, block ECC, convolutional code.
98p
nanhankhuoctai8
23-06-2020
14
1
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In this paper, we describe a framework for implementing LdCD algorithms, called LICOD. We propose also a new way for evaluating performances of community detection algorithms. This consists on transforming data clustering problems into a community detection problems.
16p
vititan2711
13-08-2019
20
1
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The RSA algorithm is used to secure data packets are transmit from source node to sink node by powerful clone attack, which can be eliminated by the malicious nodes. The proposed protocol can achieve high clone detection probability using randomly selected trustful witnesses and with larger network lifetime, by effectively distributing the traffic load across the network.
6p
hongnhan878
12-04-2019
28
2
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In this paper, we present a novel method for the detection of network anomaly in intrusion detection system. The proposed detection algorithm, are called hybrid algorithm. It is combination of two algorithm genetic and SVM. Experimental results demonstrate to be superior to existing k-mean algorithm.
8p
hongnhan878
12-04-2019
30
0
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Advanced Encryption Standard and message authentication code based message digest 6 (MAC-MD6) algorithms for secure transmission of data over the MANET with AODV routing protocol.This proposed model will provide better performance in terms of Throughput, packet delivery ratio (PDR) and minimizes routing overhead as well as effective bandwidth utilization.
6p
hongnhan878
12-04-2019
18
0
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