MRI-based brain tumor classification using ensemble of deep features and machine learning classifiers
Brain tumor classification plays an important role in clinical diagnosis and effective
treatment. In this work, we propose a method for brain tumor classification using an …
treatment. In this work, we propose a method for brain tumor classification using an …
Quantum machine learning—an overview
Quantum computing has been proven to excel in factorization issues and unordered search
problems due to its capability of quantum parallelism. This unique feature allows …
problems due to its capability of quantum parallelism. This unique feature allows …
Green innovation as a mediator in the impact of business analytics and environmental orientation on green competitive advantage
Purpose The purpose of this paper is to investigate the role of business analytics and
environmental orientation toward green innovation and green competitive advantage. In …
environmental orientation toward green innovation and green competitive advantage. In …
Time series predicting of COVID-19 based on deep learning
COVID-19 was declared a global pandemic by the World Health Organisation (WHO) on
11th March 2020. Many researchers have, in the past, attempted to predict a COVID …
11th March 2020. Many researchers have, in the past, attempted to predict a COVID …
Multiple ensemble neural network models with fuzzy response aggregation for predicting COVID-19 time series: the case of Mexico
In this paper, a multiple ensemble neural network model with fuzzy response aggregation for
the COVID-19 time series is presented. Ensemble neural networks are composed of a set of …
the COVID-19 time series is presented. Ensemble neural networks are composed of a set of …
[PDF][PDF] Science and Business
Machine Learning is a significant technique to realize Artificial Intelligence. The Random
Forest Algorithm can be considered as one of the Machine Learning's representative …
Forest Algorithm can be considered as one of the Machine Learning's representative …
Veterinary big data: when data goes to the dogs
Simple Summary Big data has created many opportunities to improve both preventive
medicine and medical treatments. In the field of veterinary medical big data, information …
medicine and medical treatments. In the field of veterinary medical big data, information …
An intelligent decision support system for production planning based on machine learning
G González Rodríguez, JM Gonzalez-Cava… - Journal of Intelligent …, 2020 - Springer
This paper presents a new methodology to solve a Closed-Loop Supply Chain (CLSC)
management problem through a decision-making system based on fuzzy logic built on …
management problem through a decision-making system based on fuzzy logic built on …
Network intrusion detection using oversampling technique and machine learning algorithms
The expeditious growth of the World Wide Web and the rampant flow of network traffic have
resulted in a continuous increase of network security threats. Cyber attackers seek to exploit …
resulted in a continuous increase of network security threats. Cyber attackers seek to exploit …
Landslide susceptibility modeling: an integrated novel method based on machine learning feature transformation
Landslide susceptibility modeling, an essential approach to mitigate natural disasters, has
witnessed considerable improvement following advances in machine learning (ML) …
witnessed considerable improvement following advances in machine learning (ML) …