Intelligent Neural Systems for Solving Real Problems

Dear Colleagues,

Technology is becoming more entrenched in our daily lives along with each passing minute, which is rapidly changing the world and human needs and living standards. One of the most important areas which is amazingly contributing in the advancement of technological world is Artificial Intelligence with their sub fields: Machine Learning, Neural Networks, Deep Learning and other intelligent agents and techniques. Especially the machine learning and neural networks methods are the backbone and strength of the Deep Learning algorithms.

Artificial Intelligence (AI) is a science devoted to making machines think and act like humans in the complex areas ranging from applied to real world problems.  Broadly, AI describes when a machine mimics cognitive functions that humans associate with other human minds, such as learning and problem solving. On an even more elementary level, AI can merely be a programmed rule that tells the machine to behave in a specific way in certain situations.  Machine learning is about computers being able to think and act with less human intervention; deep learning is about computers learning to think using structures modeled on the human brain.

There are various techniques of improving these methods such as hybridization with Bio-Inspired Learning algorithms have attracted the researchers from various fields like computer science, mathematics and engineering as well. Moreover, soon there will be no industry left where AI is not being used. Few of the most common AI applications that will have a great impact on human lives include Education powered by AI, autonomous transportation, entertainment with AI, E-health, home and service robotics, predictive policing and space exploration with AI.

With this Special Issue we aim to understand in a better way the difference between those technology and how they could impact the human brain. We are soliciting empirical articles, theoretical proposals, and scientific reviews investigating the effects of innovative interventions of deep learning, machine learning and Neural Networks. Potential topics include, but are not limited to, the following:

• Artificial Neural Networks with various Types
• Machine Learning Algorithm various Types
• Hybrid Bio-Inspired learning Algorithms
• Deep Learning Algorithms
• Time Series and Boolean Data classification/clustering /prediction
• Natural Disasters/ Industrial/Geological events
• Complex Numerical Function Optimization
• Internet of Things, Big Data or Cyber Data set etc.
• Smart Cities projects with Multi-agent Systems
• Diverse Application areas of AI

Dr. Habib Shah
Dr. Danish Shehzad
Guest Editors

Manuscript Submission Information

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• neural networks
• machine learning
• deep learning
• Artificial Intelligence (AI)
• cognitive functions
• human brain
• federated learning and malware analysis