Data Science: From Research to Application - Lecture Notes on Data Engineering and Communications Technologies
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(FIVE YEARS 26)

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(FIVE YEARS 1)

Published By Springer International Publishing

9783030373085, 9783030373092

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Pairwise Conditional Random Fields for Protein Function Prediction

Data Science: From Research to Application - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-37309-2_23 ◽

2020 ◽

pp. 290-298

Author(s):

Omid Abbaszadeh ◽

Ali Reza Khanteymoori

Keyword(s):

Random Fields ◽

Protein Function ◽

Conditional Random Fields ◽

Protein Function Prediction ◽

Function Prediction

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Using Augmented Genetic Algorithm for Search-Based Software Testing

Data Science: From Research to Application - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-37309-2_20 ◽

2020 ◽

pp. 248-257

Author(s):

Zahir Hasheminasab ◽

Zaniar Sharifi ◽

Khabat Soltanian ◽

Mohsen Afsharchi

Keyword(s):

Genetic Algorithm ◽

Software Testing

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Identifying Cancer-Related Signaling Pathways Using Formal Methods

Data Science: From Research to Application - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-37309-2_11 ◽

2020 ◽

pp. 130-141

Author(s):

Fatemeh Mansoori ◽

Maseud Rahgozar ◽

Kaveh Kavousi

Keyword(s):

Signaling Pathways ◽

Formal Methods

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Forecasting Multivariate Time-Series Data Using LSTM and Mini-Batches

Data Science: From Research to Application - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-37309-2_10 ◽

2020 ◽

pp. 121-129 ◽

Cited By ~ 2

Author(s):

Athar Khodabakhsh ◽

Ismail Ari ◽

Mustafa Bakır ◽

Serhat Murat Alagoz

Keyword(s):

Time Series ◽

Time Series Data ◽

Multivariate Time Series ◽

Series Data

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Efficient Cluster Head Selection Using the Non-linear Programming Method for Wireless Sensor Networks

Data Science: From Research to Application - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-37309-2_1 ◽

2020 ◽

pp. 1-12

Author(s):

Maryam Afshoon ◽

Amin Keshavazi ◽

Tajedin Darikvand ◽

Mahdi Bohlouli

Keyword(s):

Wireless Sensor Networks ◽

Linear Programming ◽

Sensor Networks ◽

Cluster Head ◽

Programming Method ◽

Wireless Sensor ◽

Cluster Head Selection ◽

Linear Programming Method ◽

Non Linear Programming ◽

Non Linear

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A Community Detection Method Based on the Subspace Similarity of Nodes in Complex Networks

Data Science: From Research to Application - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-37309-2_9 ◽

2020 ◽

pp. 105-120

Author(s):

Mehrnoush Mohammadi ◽

Parham Moradi ◽

Mahdi Jalili

Keyword(s):

Complex Networks ◽

Community Detection ◽

Detection Method

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A Glance on Performance of Fitness Functions Toward Evolutionary Algorithms in Mutation Testing

Data Science: From Research to Application - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-37309-2_6 ◽

2020 ◽

pp. 59-75

Author(s):

Reza Ebrahimi Atani ◽

Hasan Farzaneh ◽

Sina Bakhshayeshi

Keyword(s):

Evolutionary Algorithms ◽

Mutation Testing ◽

Fitness Functions

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A Systematic Literature Review on Blockchain-Based Solutions for IoT Security

Data Science: From Research to Application - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-37309-2_25 ◽

2020 ◽

pp. 311-321 ◽

Cited By ~ 1

Author(s):

Ala Ekramifard ◽

Haleh Amintoosi ◽

Amin Hosseini Seno

Keyword(s):

Literature Review ◽

Systematic Literature Review ◽

Iot Security

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Deep Learning Prediction of Heat Propagation on 2-D Domain via Numerical Solution

Data Science: From Research to Application - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-37309-2_13 ◽

2020 ◽

pp. 161-174

Author(s):

Behzad Zakeri ◽

Amin Karimi Monsefi ◽

Babak Darafarin

Keyword(s):

Deep Learning ◽

Numerical Solution ◽

Heat Propagation

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Predicting Liver Transplantation Outcomes Through Data Analytics

Data Science: From Research to Application - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-37309-2_12 ◽

2020 ◽

pp. 142-160

Author(s):

Bahareh Kargar ◽

Vahid Gheshlaghi Gazerani ◽

Mir Saman Pishvaee

Keyword(s):

Liver Transplantation ◽

Data Analytics ◽

Transplantation Outcomes

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Data Science: From Research to Application - Lecture Notes on Data Engineering and Communications TechnologiesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Pairwise Conditional Random Fields for Protein Function Prediction

Using Augmented Genetic Algorithm for Search-Based Software Testing

Identifying Cancer-Related Signaling Pathways Using Formal Methods

Forecasting Multivariate Time-Series Data Using LSTM and Mini-Batches

Efficient Cluster Head Selection Using the Non-linear Programming Method for Wireless Sensor Networks

A Community Detection Method Based on the Subspace Similarity of Nodes in Complex Networks

A Glance on Performance of Fitness Functions Toward Evolutionary Algorithms in Mutation Testing

A Systematic Literature Review on Blockchain-Based Solutions for IoT Security

Deep Learning Prediction of Heat Propagation on 2-D Domain via Numerical Solution

Predicting Liver Transplantation Outcomes Through Data Analytics

Data Science: From Research to Application - Lecture Notes on Data Engineering and Communications Technologies
Latest Publications