Energy efficiency optimization in MIMO interference channels: A successive pseudoconvex approximation approach [PDF]
, 2018 In this paper, we consider the (global and sum) energy efficiency optimization problem in downlink multi-input multi-output multi-cell systems, where all users suffer from multi-user interference.
Chatzinotas, Symeon +3 more
core +2 more sources
Mathematics, 2022 The past decade has seen an increase in the number of satellites in orbit and in highly dynamic satellite requests, making the control by ground stations inefficient.
Weihua Qi +3 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 +5 more
openaire +2 more sources
Tecnología y Ciencia, 2020 El modelado de datos es un problema fundamental en diversas áreas del conocimiento. La Regresión Simbólica es una técnica que permite encontrar una relación matemática para describir un conjunto de datos experimentales.
Victor Adrian Jimenez +2 more
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
Evaluation of Integrated Models of Wavelet-Artificial Neural Network and Wavelet-Gene Expression Programming in the Short-Term Drought Prediction [PDF]
پژوهشهای آبخیزداری, 2020 Drought prediction plays an important role in the planning and management of natural resources, water resources and plant water requirements. Wavelet transform is one of the new and highly effective methods for analysing signals and time series.
Mahbobeh Younesi, Hamed Nozari
doaj +1 more source
The Glasgow Parallel Reduction Machine: Programming Shared-memory Many-core Systems using Parallel Task Composition [PDF]
, 2013 We present the Glasgow Parallel Reduction Machine (GPRM), a novel, flexible framework for parallel task-composition based many-core programming. We allow the programmer to structure programs into task code, written as C++ classes, and communication code,
Tousimojarad, Ashkan +1 more
core +5 more sources
Functional Baby Talk: Analysis of Code Fragments from Novice Haskell Programmers [PDF]
, 2018 What kinds of mistakes are made by novice Haskell developers, as they learn about functional programming? Is it possible to analyze these errors in order to improve the pedagogy of Haskell?
Archibald, Blair, Singer, Jeremy
core +2 more sources
Estimation of aerator air demand by an embedded multi-gene genetic programming
Journal of Hydroinformatics, 2021 A spillway discharging a high-speed flow is susceptible to cavitation damages. As a countermeasure, an aerator is often used to artificially entrain air into the flow.
Shicheng Li, James Yang, Wei Liu
doaj +1 more source
A Preliminary Study of Knowledge Transfer in Multi-Classification Using Gene Expression Programming
Frontiers in Neuroscience, 2020 Gene Expression Programming (GEP), a variant of Genetic Programming (GP), is a well established technique for automatic generation of computer programs.
Tingyang Wei +2 more
doaj +1 more source