Search · four archives
Search · four archives
10 papers · ranked by Valyu relevance
Majid Khan, Mujahid Ali, Taoufik Najeh, Yaser Gamil
Bentonite plastic concrete (BPC) demonstrated promising potential for remedial cut-off wall construction to mitigate dam seepage, as it fulfills essential criteria for strength, stiffness, and permeability. High workability and consistency are essential attributes for BPC because it is poured into trenches using a…
Israr Ilyas, Adeel Zafar, Muhammad Faisal Javed, Furqan Farooq + 4 more
This study provides the application of a machine learning-based algorithm approach names “Multi Expression Programming” (MEP) to forecast the compressive strength of carbon fiber-reinforced polymer (CFRP) confined concrete. The suggested computational Multiphysics model is based on previously reported experimental…
Muhammad Nasir Amin, Kaffayatullah Khan, Muhammad Faisal Javed, Dina Yehia Zakaria Ewais + 6 more
Rice husk ash (RHA) is a significant pollutant produced by agricultural sectors that cause a malignant outcome to the environment. To encourage the re-use of RHA, this work used multi expression programming (MEP) to construct an empirical model for forecasting the compressive nature of concrete made with RHA (CRHA) as…
Song Deng, Dong Yue, Le-chan Yang, Xiong Fu + 2 more
'Jayoung Kim'] For high-dimensional and massive data sets, traditional centralized gene expression programming (GEP) or improved algorithms lead to increased run-time and decreased prediction accuracy. To solve this problem, this paper proposes a new improved algorithm called distributed function mining for gene…
Danila Bredikhin, Ilia Kats, Oliver Stegle
Advances in multi-omics technologies have led to an explosion of multimodal datasets to address questions ranging from basic biology to translation. While these rich data provide major opportunities for discovery, they also come with data management and analysis challenges, thus motivating the development of tailored…
Zhuang Yu, Haijiao Lu, Hongzong Si, Shihai Liu + 7 more
GEP is an evolutionary algorithm introduced by Ferreira in 2001. It can emulate biological evolution based on computer programming. With the assumption of being, in some way, a natural development of genetic programming (GP) preserves few properties of genetic algorithms (GA). The GEP algorithm inherits the advantages…
Charalampos P. Triantafyllidis, Lazaros G. Papageorgiou, Marian Gheorghe
'Marian Gheorghe'] This paper presents a novel prototype platform that uses the same LaTeX mark-up language, commonly used to typeset mathematical content, as an input language for modeling optimization problems of various classes. The platform converts the LaTeX model into a formal Algebraic Modeling Language (AML)…
Zhihao Lai, Sarena F. Flanigan, Marion Boudes, Chen Davidovich
Recombinant macromolecular complexes are often produced by the baculovirus system, using multigene expression vectors. Yet, the construction of baculovirus-compatible multigene expression vectors is complicated and time-consuming. Furthermore, while the baculovirus and yeast are popular protein expression systems, no…
Federico Ciccozzi
To manage the rapidly growing complexity of software development, abstraction and automation have been recognised as powerful means. Among the techniques pushing for them, model-driven engineering has gained increasing attention from industry for, among others, the possibility to automatically generate code from…
Andreea-Ingrid Funie, Paul Grigoras, Pavel Burovskiy, Wayne Luk + 1 more
'Mark Salmon'] Genetic programming can be used to identify complex patterns in financial markets which may lead to more advanced trading strategies. However, the computationally intensive nature of genetic programming makes it difficult to apply to real world problems, particularly in real-time constrained scenarios.…