Results 31 to 40 of about 380,664 (276)

Multi Expression Programming for solving classification problems

, 2022
Abstract Multi Expression Programming (MEP) is a Genetic Programming variant that encodes multiple solutions in a single chromosome. This paper introduces and deeply describes several strategies for solving binary and multi-class classification problems within the multi solutions per chromosome paradigm of MEP.
openaire   +2 more sources

Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms

Case Studies in Construction Materials
There has been increasing growth in incorporating fly ash as a supplementary cementitious material in concrete mixtures due to its potential to enhance the durability and strength properties of concrete. However, there is a lack of research on predicting
Adil Khan, Majid Khan, Mohsin Ali, Murad Khan, Asad Ullah Khan, Muhammad Shakeel, Muhammad Fawad, Taoufik Najeh, Yaser Gamil   +8 more
doaj   +1 more source

Pluggable AOP: Designing Aspect Mechanisms for Third-party Composition

, 2005
Studies of Aspect-Oriented Programming (AOP) usually focus on a language in which a specific aspect extension is integrated with a base language. Languages specified in this manner have a fixed, non-extensible AOP functionality. In this paper we consider
Kojarski, Sergei, Lorenz, David H.
core   +3 more sources

Engineering Resilient Collective Adaptive Systems by Self-Stabilisation [PDF]

, 2017
Collective adaptive systems are an emerging class of networked computational systems, particularly suited in application domains such as smart cities, complex sensor networks, and the Internet of Things.
Audrito, Giorgio, Beal, Jacob, Damiani, Ferruccio, Pianini, Danilo, Viroli, Mirko   +4 more
core   +2 more sources

A gene expression programming algorithm for discovering classification rules in the multi-objective space

International Journal of Computational Intelligence Systems, 2018
Multi-objective evolutionary algorithms have been criticized when they are applied to classification rule mining, and, more specifically, in the optimization of more than two objectives due to their computational complexity.
Alain Guerrero-Enamorado, Carlos Morell, Ventura Sebastián   +2 more
doaj   +1 more source

Multi-Expression Programming (MEP): Water Quality Assessment Using Water Quality Indices

Water, 2022
Water contamination is indeed a worldwide problem that threatens public health, environmental protection, and agricultural productivity. The distinctive attributes of machine learning (ML)-based modelling can provide in-depth understanding into increasing water quality challenges.
Ali Aldrees, Mohsin Ali Khan, Muhammad Atiq Ur Rehman Tariq, Abdeliazim Mustafa Mohamed, Ane Wai Man Ng, Abubakr Taha Bakheit Taha   +5 more
openaire   +2 more sources

‘They Need to Hear You Say It’: Healthcare Professionals’ Perspectives on Barriers and Enablers to End‐of‐Life Discussions With Adolescents and Young Adults With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee, Holly Evans, Claire E. Wakefield, Antoinette Anazodo, Richard J. Cohn, Brittany C. McGill, Elizabeth A. Lobb, Lori Wiener, Madeleine L. Juhrmann, Ursula M. Sansom‐Daly   +9 more
wiley   +1 more source

Compressive strength of waste-derived cementitious composites using machine learning

Reviews on Advanced Materials Science
Marble cement (MC) is a new binding material for concrete, and the strength assessment of the resulting materials is the subject of this investigation. MC was tested in combination with rice husk ash (RHA) and fly ash (FA) to uncover its full potential ...
Tian Qiong, Lu Yijun, Zhou Ji, Song Shutong, Yang Liming, Cheng Tao, Huang Jiandong   +6 more
doaj   +1 more source

Outage probability analysis and optimal transmit power allocation for multi-hop full duplex relay network over Nakagami-m fading channels

EURASIP Journal on Wireless Communications and Networking, 2018
This paper investigates the outage probability and rate performance of multi-hop full duplex (FD) and half duplex (HD) decode-and-forward (DF)-based relay networks. First of all, we derive new closed form equation for the end-to-end outage probability of
Rambabu Katla, A. V. Babu
doaj   +1 more source

Predicting the Oil Well Production Based on Multi Expression Programming [PDF]

The Open Petroleum Engineering Journal, 2016
Predicting the oil well production is very important and also quite a complex mission for the petroleum engineering. Due to its complexity, the previous empirical methods could not perform well for different kind of wells, and intelligent methods are applied to solve this problem.
Xin Ma, Zhi-bin Liu
openaire   +1 more source