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Refinado por: Base de dados/Biblioteca: ACM Digital Library Complete remover Base de dados/Biblioteca: SpringerLink remover Ovid SocietyJournals and Single Titles remover
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1
A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System
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A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System

Li, Wei ; Chai, Yuanbo ; Khan, Fazlullah ; Jan, Syed Rooh Ullah ; Verma, Sahil ; Menon, Varun G. ; Kavita ; Li, Xingwang

Mobile networks and applications, 2021-02, Vol.26 (1), p.234-252 [Periódico revisado por pares]

New York: Springer US

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2
Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions
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Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions

Sarker, Iqbal H. ; Hoque, Mohammed Moshiul ; Uddin, Md. Kafil ; Alsanoosy, Tawfeeq

Mobile networks and applications, 2021-02, Vol.26 (1), p.285-303 [Periódico revisado por pares]

New York: Springer US

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3
Intelligent and Good Machines? The Role of Domain and Context Codification
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Intelligent and Good Machines? The Role of Domain and Context Codification

Delnevo, Giovanni ; Roccetti, Marco ; Mirri, Silvia

Mobile networks and applications, 2020-06, Vol.25 (3), p.977-985 [Periódico revisado por pares]

New York: Springer US

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4
Botanical Internet of Things: Toward Smart Indoor Farming by Connecting People, Plant, Data and Clouds
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Botanical Internet of Things: Toward Smart Indoor Farming by Connecting People, Plant, Data and Clouds

Yang, Jun ; Liu, Mengchen ; Lu, Jiayi ; Miao, Yiming ; Hossain, M. Anwar ; Alhamid, Mohammed F.

Mobile networks and applications, 2018-04, Vol.23 (2), p.188-202 [Periódico revisado por pares]

New York: Springer US

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5
A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis
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A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis

Roccetti, Marco ; Delnevo, Giovanni ; Casini, Luca ; Salomoni, Paola

Mobile networks and applications, 2020-06, Vol.25 (3), p.1075-1083 [Periódico revisado por pares]

New York: Springer US

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6
A new machine learning method consisting of GA-LR and ANN for attack detection
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A new machine learning method consisting of GA-LR and ANN for attack detection

Hosseini, Soodeh

Wireless networks, 2020-08, Vol.26 (6), p.4149-4162 [Periódico revisado por pares]

New York: Springer US

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7
Dynamic Provider Selection & Power Resource Management in Competitive Wireless Communication Markets
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Dynamic Provider Selection & Power Resource Management in Competitive Wireless Communication Markets

Vamvakas, Panagiotis ; Tsiropoulou, Eirini Eleni ; Papavassiliou, Symeon

Mobile networks and applications, 2018-02, Vol.23 (1), p.86-99 [Periódico revisado por pares]

New York: Springer US

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8
Machine Learning Based Approach for Sustainable Social Protection Policies in Developing Societies
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Machine Learning Based Approach for Sustainable Social Protection Policies in Developing Societies

Mumtaz, Zahid ; Whiteford, Peter

Mobile networks and applications, 2021-02, Vol.26 (1), p.159-173 [Periódico revisado por pares]

New York: Springer US

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9
Root Cause Analysis for Self-organizing Cellular Network: an Active Learning Approach
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Root Cause Analysis for Self-organizing Cellular Network: an Active Learning Approach

Chen, Meng ; Zhu, Kun ; Chen, Bing

Mobile networks and applications, 2020-12, Vol.25 (6), p.2506-2516 [Periódico revisado por pares]

New York: Springer US

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10
Machine learning based optimal renewable energy allocation in sustained wireless sensor networks
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Machine learning based optimal renewable energy allocation in sustained wireless sensor networks

Sharma, Amandeep ; Kakkar, Ajay

Wireless networks, 2019-10, Vol.25 (7), p.3953-3981 [Periódico revisado por pares]

New York: Springer US

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