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Network intrusion detection using oversampling technique and machine learning algorithms
Network intrusion detection using oversampling technique and machine learning algorithms
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Network intrusion detection using oversampling technique and machine learning algorithms

Ahmed, Hafiza Anisa ; Hameed, Anum ; Bawany, Narmeen Zakaria

PeerJ. Computer science, 2022-01, Vol.8, p.e820-e820, Article e820 [Periódico revisado por pares]

United States: PeerJ. Ltd

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Distributed Centrality Analysis of Social Network Data Using MapReduce
Distributed Centrality Analysis of Social Network Data Using MapReduce
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Distributed Centrality Analysis of Social Network Data Using MapReduce

Kumar Behera, Ranjan ; Kumar Rath, Santanu ; Misra, Sanjay ; Damaševičius, Robertas ; Maskeliūnas, Rytis

Algorithms, 2019-08, Vol.12 (8), p.161 [Periódico revisado por pares]

Basel: MDPI AG

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3
Lightweight and efficient neural network with SPSA attention for wheat ear detection
Lightweight and efficient neural network with SPSA attention for wheat ear detection
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Lightweight and efficient neural network with SPSA attention for wheat ear detection

Dong, Yan ; Liu, Yundong ; Kang, Haonan ; Li, Chunlei ; Liu, Pengcheng ; Liu, Zhoufeng

PeerJ. Computer science, 2022-04, Vol.8, p.e931-e931, Article e931 [Periódico revisado por pares]

United States: PeerJ. Ltd

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4
Evaluating graph neural networks under graph sampling scenarios
Evaluating graph neural networks under graph sampling scenarios
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Evaluating graph neural networks under graph sampling scenarios

Wei, Qiang ; Hu, Guangmin

PeerJ. Computer science, 2022-03, Vol.8, p.e901-e901, Article e901 [Periódico revisado por pares]

United States: PeerJ. Ltd

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5
Navigating the massive world of reddit: using backbone networks to map user interests in social media
Navigating the massive world of reddit: using backbone networks to map user interests in social media
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Navigating the massive world of reddit: using backbone networks to map user interests in social media

Olson, Randal S ; Neal, Zachary P

PeerJ. Computer science, 2015-05, Vol.1, p.e4 [Periódico revisado por pares]

San Diego: PeerJ. Ltd

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6
Predicting the Impact of Data Poisoning Attacks in Blockchain-Enabled Supply Chain Networks
Predicting the Impact of Data Poisoning Attacks in Blockchain-Enabled Supply Chain Networks
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Predicting the Impact of Data Poisoning Attacks in Blockchain-Enabled Supply Chain Networks

Butt, Usman Javed ; Hussien, Osama ; Hasanaj, Krison ; Shaalan, Khaled ; Hassan, Bilal ; al-Khateeb, Haider

Algorithms, 2023-11, Vol.16 (12), p.549 [Periódico revisado por pares]

Basel: MDPI AG

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7
Efficient Time-Series Forecasting Using Neural Network and Opposition-Based Coral Reefs Optimization
Efficient Time-Series Forecasting Using Neural Network and Opposition-Based Coral Reefs Optimization
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Efficient Time-Series Forecasting Using Neural Network and Opposition-Based Coral Reefs Optimization

Nguyen, Thieu ; Nguyen, Tu ; Nguyen, Binh Minh ; Nguyen, Giang

International journal of computational intelligence systems, 2019-01, Vol.12 (2), p.1144-1161 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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8
Counting people inside a region-of-interest in CCTV footage with deep learning
Counting people inside a region-of-interest in CCTV footage with deep learning
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Counting people inside a region-of-interest in CCTV footage with deep learning

Pardamean, Bens ; Abid, Faizal ; Cenggoro, Tjeng Wawan ; Elwirehardja, Gregorius Natanael ; Muljo, Hery Harjono

PeerJ. Computer science, 2022-09, Vol.8, p.e1067-e1067, Article e1067 [Periódico revisado por pares]

San Diego: PeerJ. Ltd

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9
Enhancing Object Detection for VIPs Using YOLOv4_Resnet101 and Text-to-Speech Conversion Model
Enhancing Object Detection for VIPs Using YOLOv4_Resnet101 and Text-to-Speech Conversion Model
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Enhancing Object Detection for VIPs Using YOLOv4_Resnet101 and Text-to-Speech Conversion Model

Alahmadi, Tahani Jaser ; Rahman, Atta Ur ; Alkahtani, Hend Khalid ; Kholidy, Hisham

Multimodal technologies and interaction, 2023-08, Vol.7 (8), p.77 [Periódico revisado por pares]

Basel: MDPI AG

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10
Classification model for accuracy and intrusion detection using machine learning approach
Classification model for accuracy and intrusion detection using machine learning approach
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Classification model for accuracy and intrusion detection using machine learning approach

Agarwal, Arushi ; Sharma, Purushottam ; Alshehri, Mohammed ; Mohamed, Ahmed A ; Alfarraj, Osama

PeerJ. Computer science, 2021-04, Vol.7, p.e437-e437, Article e437 [Periódico revisado por pares]

United States: PeerJ. Ltd

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