IEEE (Institute of Electrical and Electronics Engineers) Papers on Artificial Intelligence Projects that we have provided best help for scholars from topic selection to publication ideas are discussed below. It is the prominent publisher of technical and scientific papers. In the domain of AI, IEEE publications play a crucial role. We provide some instances of the several IEEE papers which have been published on AI:

Attention Is All You Need paper

  • The Transformer architecture is presented in a paper “Attention Is All You Need” by Vaswani et al. (2017). For natural language processing missions, this is examined as one of the foremost extensively employed infrastructures.

Generative Adversarial Networks paper

  • The presentation of the Generative Adversarial Network (GAN) model is included in the “Generative Adversarial Networks” paper by Goodfellow et al. (2014). In creating practicable images, text, and some other data, this framework is considered as the most robust tool.

Deep Reinforcement Learning paper

  • The Deep Q-Network (DQN) is depicted in a paper “Deep Reinforcement Learning” by Mnih et al. (2015). Currently, for reinforcement learning missions, this method is utilized in an extensive manner.

AlphaGo Zero paper

  • In explaining the advancement of AlphaGo Zero, “AlphaGo Zero” paper by Silver et al. (2017) is highly considerable. Without any human data, it encompasses a computer program which interprets the game procedures of Go.

GPT-3 paper

  • GPT-3 is mentioned in the paper “GPT-3” by Brown et al. (2020). As a means to convert languages, reply to our queries in an educational manner, create text, and write various types of innovative content, GPT-3 is utilized which is considered as a large language model.

In the field of artificial intelligence, some instances of the numerous IEEE papers which have been published are offered here. A foremost publisher of scientific and technological papers is the IEEE. For scholars and experts in the domain, its publications on AI are examined as a beneficial resource.

IEEE Projects List in Artificial Intelligence

IEEE Projects List in Artificial Intelligence along with brief explanations, in which we have suggested some instances are shared below .

  1. The Role of Artificial Intelligence in Human-Computer Interaction: Using a Smart Topic Extraction System
  2. Recognition of E-Commerce through Big Data Classification and Data Mining Techniques Involving Artificial Intelligence
  3. Artificial intelligence-based modelling and optimization of microdrilling processes
  4. Decoding the Black Box: A Comprehensive Review of Explainable Artificial Intelligence
  5. Development of Smart Chabot in the Field of Trading using Smart Artificial Intelligence Informal Technology
  6. Artificial Intelligence-based Frequency Trajectory Prediction to Enhance Power Electronics-Dominated Grid Resiliency
  7. NOMOHiOS: Fundamental Aspects of Artificial Intelligence and Software Engineering in the Design of Management Systems
  8. Editorial: Special Issue on Artificial Intelligence for Sustainability
  9. Database Meets Artificial Intelligence: A Survey (Extended Abstract)
  10. Using an artificial intelligence approach to build an automated program understanding/fault localization tool
  11. Analysis and design of control systems using artificial intelligence
  12. Mapping urban deprivation from Sentinel 1/2 using artificial intelligence and weakly labelled data
  13. EI Integrated PR for Online Communication in Customer Loyalty: The Mediating Role of Artificial Intelligence
  14. A Review of Payment Card Fraud Detection Methods Using Artificial Intelligence
  15. Secure Data Access Management for Cyber Threats using Artificial Intelligence
  16. Examining the Dilemma Between Artificial Intelligence Techniques and Professional Medical Service: A Hybrid Balancing Perspective
  17. Garbage classification system based on artificial intelligence and Internet of Things
  18. An analysis of expertise in intelligence analysis to support the design of Human-Centered Artificial Intelligence
  19. On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence
  20. Complementary and Synergistic Properties of Blockchain and Artificial Intelligence