Special Issues

1. Special Issue: Emerging Innovations in Artificial Intelligence and Artificial Internet of Things


Artificial intelligence (AI) is the ability of a system to learn new things on its own without being encoded with commands. Recent advances in AI have revolutionized the world and affect our daily life. AI is widely applied to different fields, e.g., automobiles, navigation, robot, healthcare and medical diagonals, prognostic and health management of electronics and mechanical devices and equipment, agriculture, E-Commerce, Social Media, etc.

AIoT (Artificial Intelligence of Things) has recently become a hot topic that combines AI and IoT. IoT consists of interconnected things with built-in sensors which will generate or collect a vast amount of data. An intelligent and efficient data processing is essential to make effective use of the information generated from these data. AI can add the value of IoT. Without AI, IoT would have limited value. IoT can promote the learning and intelligence of AI.

The ever-increasing demands of AI and AIOT techniques present a variety of opportunities, but also face many challenges, such as processing unstructured data, supporting IT systems, improving cybersecurity and privacy issues, complexity, efficiency, scalability, accuracy, and robustness related to the increasing modern AIOT systems and applications.

This special issue aims to provide the academic and industrial communities a venue covering all aspects of state-of-the-art advanced approaches, methods, and systems in the field of AI or AIoT technology and applications.

 The prospective authors are invited to submit their works online through:


by following the Author’s guidelines available at:


During submission, please choose Special Issue: Emerging Innovations in AI or AIoT 


The topics of interest include, but are not limited to

  • AI in E-Commerce
  • AI in Navigation
  • AI in Robotics
  • AI in Human Resource
  • AI in Healthcare
  • AI in Agriculture
  • AI in Gaming
  • AI in Automobiles
  • AI in Social Media
  • AI in Marketing
  • New methods/Algorithms for Deep Learning
  •  New learning methods for established Deep Learning architectures
  • Faster and more robust methods for learning of deep models
  • Methods for non-established Deep Learning models
  • Reasoning of Input-Output Behavior of Deep Learning Models
  • Deep Learning Classifiers combined with Active Learning
  • Evolutionary-based optimization and tuning of Deep Learning models
  • Hybrid learning schemes (deterministic with heuristics-based, memetic)
  •  Incremental learning methods for self-adaptive deep models
  • Evolving techniques for Deep Learning systems
  • Big Data Analysis for Deep Learning
  • Context-Awareness and Intelligent Environment Applications
  • Intelligent Human-Computer Interaction
  • Intelligent E-Learning & Tutoring
  • IoT Application by Deep Learning
  • Speech recognition and image recognition by Deep Learning
  • Smart Healthcare by Deep Learning
  • Biological Computing by Deep Learning
  • Smart Living and Smart Cities by Deep Learning
  • Information Security by Deep Learning
  • Others related topics of Deep Learning
  • Artificial Intelligence in the Future



Submission Deadline

May 31, 2022

First notification

August 31, 2022

Final notification

September 30, 2022

Final submission

Oct. 31, 2022

Expected publication Date

Dec. 31, 2022