Machine learning models for ecological footprint prediction based on energy parameters

Ensemble residual network-based gender and activity recognition method with signals

(2020) Turker Tuncer et al.   JOURNAL OF SUPERCOMPUTING

ResNet‐Attention model for human authentication using ECG signals

(2020) Mohamed Hammad et al.   EXPERT SYSTEMS

Correction to: “SPOCU”: scaled polynomial constant unit activation function

(2020) Jozef Kiseľák et al.   NEURAL COMPUTING & APPLICATIONS

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment

(2019) Moloud Abdar et al.   JOURNAL OF MEDICAL SYSTEMS

Face Recognition with Triangular Fuzzy Set-Based Local Cross Patterns in Wavelet Domain

(2019) Turker Tuncer et al.   Symmetry-Basel

Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring

(2019) Paweł Pławiak et al.   APPLIED SOFT COMPUTING

Is urban development ecologically sustainable? Ecological footprint analysis and prediction based on a modified artificial neural network model: A case study of Tianjin in China

(2019) Meiyu Wu et al.   JOURNAL OF CLEANER PRODUCTION

Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method

(2019) Rajesh N V P S Kandala et al.   SENSORS

DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring

(2019) Paweł Pławiak et al.   INFORMATION SCIENCES

An accurate ecological footprint analysis and prediction for Beijing based on SVM model

(2018) Lingna Liu et al.   Ecological Informatics

The impact of electricity consumption on CO 2 emission, carbon footprint, water footprint and ecological footprint: The role of hydropower in an emerging economy

(2018) Mufutau Opeyemi Bello et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Assessment and prediction of environmental sustainability in China based on a modified ecological footprint model

(2018) Zhaohua Wang et al.   RESOURCES CONSERVATION AND RECYCLING

Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees

(2018) Muhammad Waseem Ahmad et al.   JOURNAL OF CLEANER PRODUCTION

Investigation of environmental Kuznets curve for ecological footprint: The role of energy and financial development

(2018) Mehmet Akif Destek et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components

(2018) L. Benali et al.   RENEWABLE ENERGY

Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption

(2017) Muhammad Waseem Ahmad et al.   ENERGY AND BUILDINGS

Urban ecological footprint prediction based on the Markov chain

(2017) Yi Lu et al.   JOURNAL OF CLEANER PRODUCTION

Missing chaos in global climate change data interpreting?

(2016) M. Stehlík et al.   Ecological Complexity

Entropy based statistical inference for methane emissions released from wetland

(2015) R. Sabolová et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

The impact of human behavior on ecological threshold: Positive or negative?—Grey relational analysis of ecological footprint, energy consumption and environmental protection

(2013) Liu Huimin   ENERGY POLICY

Prediction of rockburst classification using Random Forest

(2013) Long-jun DONG et al.   TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA

Accounting for demand and supply of the biosphere's regenerative capacity: The National Footprint Accounts’ underlying methodology and framework

(2012) Michael Borucke et al.   ECOLOGICAL INDICATORS