C
C. Karamani
Researcher at School of Pedagogical and Technological Education
Publications - 4
Citations - 212
C. Karamani is an academic researcher from School of Pedagogical and Technological Education. The author has contributed to research in topics: Risk assessment & Metakaolin. The author has an hindex of 3, co-authored 4 publications receiving 127 citations.
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Journal ArticleDOI
Soft computing-based techniques for concrete beams shear strength
Danial Jahed Armaghani,George D. Hatzigeorgiou,C. Karamani,Athanasia D. Skentou,Ioanna Zoumpoulaki,Panagiotis G. Asteris +5 more
TL;DR: The preliminary results presented in this work reveal the crucial parameters that affect the value of the shear strength of reinforced concrete beams with or without transverse reinforcement.
Journal ArticleDOI
A Novel Heuristic Algorithm for the Modeling and Risk Assessment of the COVID-19 Pandemic Phenomenon
Panagiotis G. Asteris,Maria G. Douvika,C. Karamani,Athanasia D. Skentou,Katerina Chlichlia,Liborio Cavaleri,Tryfon Daras,Danial Jahed Armaghani,Theoklis E. Zaoutis +8 more
TL;DR: In this paper, a 3D-epidemic surface is proposed to assess the epidemic phenomenon at any time of its evolution, which can assist in the risk assessment of the COVID-19 pandemic.
On the metaheuristic models for the prediction of cement-metakaolin mortars compressive strength
Panagiotis G. Asteris,Maria Apostolopoulou,Danial Jahed Armaghani,Liborio Cavaleri,A.T. Chountalas,D. Guney,Mohsen Hajihassani,Mahdi Hasanipanah,Manoj Khandelwal,C. Karamani,Mohammadreza Koopialipoor,E. Kotsonis,T.-T. Le,Paulo B. Lourenço,H.-B. Ly,Antonia Moropoulou,H. Nguyen +16 more
TL;DR: In this article, metaheuristic models such as ANN and Genetic Programming (GP) models have been developed and trained through the use of a database, compiled by available, in the literature, experimental works related to cement and blended cement-metakaolin mortars.
Posted ContentDOI
A Novel Heuristic Global Algorithm to Predict the COVID-19 Pandemic Trend
Panagiotis G. Asteris,Maria G. Douvika,C. Karamani,Athanasia D. Skentou,Tryfon Daras,Liborio Cavaleri,Danial Jahed Armaghani,Katerina Chlichlia,Theoklis E. Zaoutis +8 more
TL;DR: The proposed heuristic global algorithm seems to offer a robust and reliable method for revealing the SARS-CoV-2 temporal dynamics and disease trend, as such, can be a useful tool for the relevant authorities.