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Development of Multi-Actor Multi-Criteria Analysis Based on the Weight of Stakeholder Involvement in the Assessment of Natural–Cultural Tourism Area Transportation Policies
Development of Multi-Actor Multi-Criteria Analysis Based on the Weight of Stakeholder Involvement in the Assessment of Natural–Cultural Tourism Area Transportation Policies
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Development of Multi-Actor Multi-Criteria Analysis Based on the Weight of Stakeholder Involvement in the Assessment of Natural–Cultural Tourism Area Transportation Policies

Putro, Heru Purboyo Hidayat ; Pradono, Pradono ; Setiawan, Titus Hari

Algorithms, 2021-07, Vol.14 (7), p.217 [Periódico revisado por pares]

Basel: MDPI AG

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2
No Cell Left behind: Automated, Stochastic, Physics-Based Tracking of Every Cell in a Dense, Growing Colony
No Cell Left behind: Automated, Stochastic, Physics-Based Tracking of Every Cell in a Dense, Growing Colony
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No Cell Left behind: Automated, Stochastic, Physics-Based Tracking of Every Cell in a Dense, Growing Colony

Pham, Huy ; Shehada, Emile R. ; Stahlheber, Shawna ; Pandey, Kushagra ; Hayes, Wayne B.

Algorithms, 2022-02, Vol.15 (2), p.51 [Periódico revisado por pares]

Basel: MDPI AG

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3
COVID-19 Prediction Applying Supervised Machine Learning Algorithms with Comparative Analysis Using WEKA
COVID-19 Prediction Applying Supervised Machine Learning Algorithms with Comparative Analysis Using WEKA
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COVID-19 Prediction Applying Supervised Machine Learning Algorithms with Comparative Analysis Using WEKA

Villavicencio, Charlyn Nayve ; Macrohon, Julio Jerison Escudero ; Inbaraj, Xavier Alphonse ; Jeng, Jyh-Horng ; Hsieh, Jer-Guang

Algorithms, 2021-07, Vol.14 (7), p.201 [Periódico revisado por pares]

Basel: MDPI AG

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4
Optimization of the Compressive Measurement Matrix in a Massive MIMO System Exploiting LSTM Networks
Optimization of the Compressive Measurement Matrix in a Massive MIMO System Exploiting LSTM Networks
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Optimization of the Compressive Measurement Matrix in a Massive MIMO System Exploiting LSTM Networks

Pavel, Saidur R. ; Zhang, Yimin D.

Algorithms, 2023-06, Vol.16 (6), p.261 [Periódico revisado por pares]

Basel: MDPI AG

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5
Eye Fatigue Detection through Machine Learning Based on Single Channel Electrooculography
Eye Fatigue Detection through Machine Learning Based on Single Channel Electrooculography
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Eye Fatigue Detection through Machine Learning Based on Single Channel Electrooculography

Wang, Yuqi ; Zhang, Lijun ; Fang, Zhen

Algorithms, 2022-03, Vol.15 (3), p.84 [Periódico revisado por pares]

Basel: MDPI AG

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6
Fuzzy Preference Programming Framework for Functional assessment of Subway Networks
Fuzzy Preference Programming Framework for Functional assessment of Subway Networks
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Fuzzy Preference Programming Framework for Functional assessment of Subway Networks

Abouhamad, Mona ; Zayed, Tarek

Algorithms, 2020-09, Vol.13 (9), p.220 [Periódico revisado por pares]

Basel: MDPI AG

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7
Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques
Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques
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Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques

Karim, Abdul ; Azhari, Azhari ; Belhaouri, Samir Brahim ; Qureshi, Ali Adil ; Ahmad, Maqsood

Algorithms, 2020-08, Vol.13 (8), p.202 [Periódico revisado por pares]

Basel: MDPI AG

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8
Fabric Weave Pattern and Yarn Color Recognition and Classification Using a Deep ELM Network
Fabric Weave Pattern and Yarn Color Recognition and Classification Using a Deep ELM Network
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Fabric Weave Pattern and Yarn Color Recognition and Classification Using a Deep ELM Network

Khan, Babar ; Wang, Zhijie ; Han, Fang ; Iqbal, Ather ; Masood, Rana

Algorithms, 2017-12, Vol.10 (4), p.117 [Periódico revisado por pares]

Basel: MDPI AG

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9
Which, When, and How: Hierarchical Clustering with Human–Machine Cooperation
Which, When, and How: Hierarchical Clustering with Human–Machine Cooperation
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Which, When, and How: Hierarchical Clustering with Human–Machine Cooperation

Zheng, Huanyang ; Wu, Jie

Algorithms, 2016-12, Vol.9 (4), p.88-88 [Periódico revisado por pares]

Basel: MDPI AG

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10
Classification of Echolocation Calls from 14 Species of Bat by Support Vector Machines and Ensembles of Neural Networks
Classification of Echolocation Calls from 14 Species of Bat by Support Vector Machines and Ensembles of Neural Networks
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Classification of Echolocation Calls from 14 Species of Bat by Support Vector Machines and Ensembles of Neural Networks

Redgwell, Robert D. ; Szewczak, Joseph M. ; Jones, Gareth ; Parsons, Stuart

Algorithms, 2009-09, Vol.2 (3), p.907-924 [Periódico revisado por pares]

Basel: MDPI AG

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