Results 71 to 80 of about 82,724 (185)
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah +2 more
wiley +1 more source
CEA: Algorithm for Cluster- Elutriating based on Minority Protection
:Abstract: In traditional Gene Expression Programming (GEP), the survival of individuals depends on their fitness, and the relationships between them are ignored. This may affect the evolution efficiency. To tackle these problems, this paper analyzes the
Xiang jian-ping +4 more
doaj
Redefining the Role of Chemotherapy and Targeted Cytotoxic Delivery in Lung Neuroendocrine Tumors
Perioperative chemotherapy utility remains uncertain and lacks universal standardization. Platinum/etoposide shows suboptimal efficacy in lung NET (neuroendocrine tumors); oral alkylators (temozolomide) alone or in combination (e.g., with capecitabine), and cabozantinib offer promising disease control.
Alice Laffi +2 more
wiley +1 more source
Statistical analysis of the slump flow prediction by the application of Gene Expression Programming on the data points of 953 related to Self-Consolidated Concrete. SCC is the acronym for Self-Consolidated Concrete, high-flow concrete, supposed to self-consolidate.
Maaz Khan +6 more
openaire +1 more source
Abstract Nucleoporins (NUPs) constitute the nuclear pore complex (NPC) and are essentially involved in nuclear transport, chromatin organization, and context‐dependent gene regulation. However, the role of NUPs in neuroendocrine (tumor)biology and related diagnostic potential is poorly defined.
Sven Mattern +15 more
wiley +1 more source
The present study used the techniques of gene expression programming (GEP) and multi-expression programming (MEP) to assess the compressive strength (CS) and flexural strength (FS) and develop predictive models of sustainable mortar modified with waste ...
Dong Wang +5 more
doaj +1 more source
Gene Expression Programming (GEP) is a genetic algorithm that evolves linear chromosomes encoding nonlinear (tree-like) structures. In the original GEP algorithm, the genome size is problem specific and is determined through trial and error. In this work,
Nigel P. A. Browne, Marcus V. dos Santos
doaj +1 more source
Modeling of shear wave velocity in limestone by soft computing methods
The main purpose of current study is development of an intelligent model for estimation of shear wave velocity in limestone. Shear wave velocity is one of the most important rock dynamic parameters.
Danial Behnia +2 more
doaj +1 more source
AVPS-GEP: Skipping from Local Optimization Fast Algorithm
:The traditional Gene Expression Programming(GEP) has the deficiency of local optimization. In order to solve this problem, VPS-GEP(Various Population Strategy GEP), an algorithm for evolution skipping from local optimization fast,was proposed.It was ...
doaj
Mining Recursive Functions Based on Gene Expression Programming
:Traditional Gene Expression Programming (GEP) is bare of discovering recursive functions. The limitation of function mining of the traditional GEP was analyzed.Revised algorithm GEP RecurMiner based on recursive chromosomes and Dynamic Selection ...
doaj

