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Data in Brief
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November 8, 2016
The FP4026 Research Database on the fundamental period of RC infilled frame structures
Panagiotis G Asteris
Data in Brief
|
July 14, 2017
Data on the physical and mechanical properties of soilcrete materials modified with metakaolin
Panagiotis G Asteris, Konstantinos G Kolovos
Materials (Basel, Switzerland)
|
August 3, 2017
Seismic and Restoration Assessment of Monumental Masonry Structures
Panagiotis G Asteris, Maria G Douvika, Maria Apostolopoulou, et al.
Sensors (Basel, Switzerland)
|
June 10, 2017
Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials
Panagiotis G Asteris, Panayiotis C Roussis, Maria G Douvika
Scientific Reports
|
July 5, 2024
Prediction of optical properties of rare-earth doped phosphate glasses using gene expression programming
Fahimeh Ahmadi, Raouf El-Mallawany, Stefanos Papanikolaou, et al.
Scientific Reports
|
January 20, 2026
Structural resilience of skylights with perforated panels in healthcare facilities: a case study
Muhammad Tayyab Naqash, Muhammad Ali, Panagiotis G Asteris, et al.
Materials (Basel, Switzerland)
|
June 12, 2026
Predicting Mechanical Strength of Alkali-Activated High-Performance Concrete Using Machine-Learning Methods
Rahul Biswas, Farzin Kazemi, Akhilendra Sharma, et al.
Materials (Basel, Switzerland)
|
September 9, 2020
A Novel Feature Selection Approach Based on Tree Models for Evaluating the Punching Shear Capacity of Steel Fiber-Reinforced Concrete Flat Slabs
Shasha Lu, Mohammadreza Koopialipoor, Panagiotis G Asteris, et al.
Computational Intelligence and Neuroscience
|
April 12, 2016
Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks
Panagiotis G Asteris, Athanasios K Tsaris, Liborio Cavaleri, et al.
Ultrasonics
|
May 23, 2024
Predicting uniaxial compressive strength of rocks using ANN models: Incorporating porosity, compressional wave velocity, and schmidt hammer data
Panagiotis G Asteris, Maria Karoglou, Athanasia D Skentou, et al.
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of 3
Search research articles
Search
Showing results (1-10 of 22) with videos related to
Sort By:
Page
of 3
Data in Brief
|
November 8, 2016
The FP4026 Research Database on the fundamental period of RC infilled frame structures
Panagiotis G Asteris
Data in Brief
|
July 14, 2017
Data on the physical and mechanical properties of soilcrete materials modified with metakaolin
Panagiotis G Asteris, Konstantinos G Kolovos
Materials (Basel, Switzerland)
|
August 3, 2017
Seismic and Restoration Assessment of Monumental Masonry Structures
Panagiotis G Asteris, Maria G Douvika, Maria Apostolopoulou, et al.
Sensors (Basel, Switzerland)
|
June 10, 2017
Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials
Panagiotis G Asteris, Panayiotis C Roussis, Maria G Douvika
Scientific Reports
|
July 5, 2024
Prediction of optical properties of rare-earth doped phosphate glasses using gene expression programming
Fahimeh Ahmadi, Raouf El-Mallawany, Stefanos Papanikolaou, et al.
Scientific Reports
|
January 20, 2026
Structural resilience of skylights with perforated panels in healthcare facilities: a case study
Muhammad Tayyab Naqash, Muhammad Ali, Panagiotis G Asteris, et al.
Materials (Basel, Switzerland)
|
June 12, 2026
Predicting Mechanical Strength of Alkali-Activated High-Performance Concrete Using Machine-Learning Methods
Rahul Biswas, Farzin Kazemi, Akhilendra Sharma, et al.
Materials (Basel, Switzerland)
|
September 9, 2020
A Novel Feature Selection Approach Based on Tree Models for Evaluating the Punching Shear Capacity of Steel Fiber-Reinforced Concrete Flat Slabs
Shasha Lu, Mohammadreza Koopialipoor, Panagiotis G Asteris, et al.
Computational Intelligence and Neuroscience
|
April 12, 2016
Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks
Panagiotis G Asteris, Athanasios K Tsaris, Liborio Cavaleri, et al.
Ultrasonics
|
May 23, 2024
Predicting uniaxial compressive strength of rocks using ANN models: Incorporating porosity, compressional wave velocity, and schmidt hammer data
Panagiotis G Asteris, Maria Karoglou, Athanasia D Skentou, et al.
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of 3