- Prof. Victor Hugo C. de Albuquerque
Federal Institute of Ceará, Federal University of Ceará, Ceará, Brasil.
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- Dr. Paolo Barsocchi
Institute of Information Science and Technologies, National Research Council, Pisa, Italy.
- Dr. Akash Kumar Bhoi
Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India.
Special Issue Introduction
The Artificial Intelligence-based models are investigated to properly obtain concepts like fuzzy sets, neural networks, deep neural networks, neuro-fuzzy inference systems, and evolutionary neural models. All these mentioned techniques have been playing an pivotal role during the development of hybrid models in knowledge discovery, machine learning, and pattern recognition. The main drawbacks in many real-world applications are inherent uncertainty problems, which lead to imprecise and incomplete assessment of input data during pattern classification problems. Therefore, it becomes crucial to design such a model that helps overcome this type of problem through the Neuro-Fuzzy model. It has the main advantage to resolve the issue like uncertainty in the different applications. These uncertainty issues can be managed through the different fuzzification techniques. It has been found that the Neuro-Fuzzy concepts well performed in different problems such as classification, prediction, and clustering. As an emerging mathematical concept, it is very important to give more attention to fuzzy concepts, which helps to identify the heterogeneous relationship from the hidden input patterns in their domain.
On the other hand, another important application is mobile cloud computing, which has many advantages like portability, less expensive storage, ease of accessibility of data at any particular time, and maintenance. It can help to record the required data from the patients through placing the different sensor fixing of the different sensors, which alternatively helps to record the data in a very comfortable manner within very short time slots. Also, it helps to store the data into the cloud which becomes helps further to access from any locations. We expect articles that could address these issues and concepts in their research domains in this Special Issue. Mainly focusing on:
● Hybrid GA-PSO algorithm in cloud computing
● Context-Aware Cloud Service Selection Model for Mobile Cloud Computing Environments
● Fuzzy systems for predicting and identifying patterns of epidemic diseases
● Fuzzy systems for predicting and monitoring the spread of epidemic diseases
● Fuzzy edge extraction and detection of medical images
● Neuro-fuzzy model application in mobile cloud computing environments
This Special Issue aims to publish high-quality articles that help us better understand the principles, limitations, and applications of current Machine Learning and Deep Learning algorithms working on the neuro-fuzzy model and mobile-computing, as well as to foster research on novel algorithmic approaches.
Submission Deadline15 Mar 2022