Results 41 to 50 of about 5,786,914 (366)

Investigating the Applications of Machine Learning Techniques to Predict the Rock Brittleness Index

Applied Sciences, 2020
Despite the vast usage of machine learning techniques to solve engineering problems, a very limited number of studies on the rock brittleness index (BI) have used these techniques to analyze issues in this field.
Deliang Sun, Mahshid Lonbani, Behnam Askarian, Danial Jahed Armaghani, Reza Tarinejad, Binh Thai Pham, Van Van Huynh   +6 more
doaj   +1 more source

Model-based evolutionary algorithms: a short survey

Complex & Intelligent Systems, 2018
The evolutionary algorithms (EAs) are a family of nature-inspired algorithms widely used for solving complex optimization problems. Since the operators (e.g.
Ran Cheng, Cheng He, Yaochu Jin, X. Yao
semanticscholar   +1 more source

A Combination of Feature Selection and Random Forest Techniques to Solve a Problem Related to Blast-Induced Ground Vibration

Applied Sciences, 2020
In mining and civil engineering applications, a reliable and proper analysis of ground vibration due to quarry blasting is an extremely important task. While advances in machine learning led to numerous powerful regression models, the usefulness of these
Hong Zhang, Jian Zhou, Danial Jahed Armaghani, M. M. Tahir, Binh Thai Pham, Van Van Huynh   +5 more
doaj   +1 more source

Modeling Organizations with Evolutionary Algorithms [PDF]

, 1997
中辻卯ー教授古稀記念特
Araki Takaharu, 荒木 孝治
core   +1 more source

From lactation to malignancy: A comparison between healthy and cancerous breast gland at single‐cell resolution reveals new issues for tumorigenesis

FEBS Letters, EarlyView.
Single‐cell RNA sequencing reveals an opposite role of SLPI in basal tumors based on metastatic spread, along with shared activation of specific regulons in cancer cells and mature luminal lactocytes, as well as downregulation of MALAT1 and NEAT1 in the latter.
Pietro Ancona, Carlo M. Bergamini, Carlo Ferrari, Stefano Volinia, Nicoletta Bianchi   +4 more
wiley   +1 more source

Evolutionary algorithms in dynamic environments [PDF]

, 2006
The file attached to this record is the author's final peer reviewed version.Evolutionary algorithms (EAs) are widely and often used for solving stationary optimization problems where the fitness landscape or objective function does not change during the
Wang, Dingwei, Wang, Hongfeng, Yang, Shengxiang   +2 more
core  

Generalized Hybrid Evolutionary Algorithm Framework with a Mutation Operator Requiring no Adaptation [PDF]

, 2017
This paper presents a generalized hybrid evolutionary optimization structure that not only combines both nondeterministic and deterministic algorithms on their individual merits and distinct advantages, but also offers behaviors of the three originating ...
Chan, Lipton, Foo, Yong Wee, Goh, Cindy, Li, Lin, Li, Yun   +4 more
core   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Seepage Analysis in Short Embankments Using Developing a Metaheuristic Method Based on Governing Equations

Applied Sciences, 2020
Seepage is one of the most challenging issues in some procedures such as design, construction, and operation of embankment or earth fill dams. The purpose of this research is to develop a new solution based on governing equations to solve the seepage ...
Dongchun Tang, Behrouz Gordan, Mohammadreza Koopialipoor, Danial Jahed Armaghani, Reza Tarinejad, Binh Thai Pham, Van Van Huynh   +6 more
doaj   +1 more source

An Investigation Into the use of Swarm Intelligence for an Evolutionary Algorithm Optimisation; The Optimisation Performance of Differential Evolution Algorithm Coupled with Stochastic Diffusion Search [PDF]

, 2011
The integration of Swarm Intelligence (SI) algorithms and Evolutionary algorithms (EAs) might be one of the future approaches in the Evolutionary Computation (EC).
al-Rifaie, Mohammad Majid, Bishop, Mark (J. M.), Blackwell, Tim M.   +2 more
core