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Artificial Intelligence

Editorial Board
Editors in Chief:
  • Guan Gui (Nanjing University of Posts and Telecommunications)
Special Issue Editors:
  • Jorge De-j. Lozoya-santos (Universidad de Monterrey)
Area Editors:
  • Diana Spears (Swarmotics, LLC)
  • Bashar Nuseibeh (Lero (Ireland) & The Open University (UK))
  • Danny Weyns (Linnaeus University)
  • Franco Zambonelli (Università di Modena e Reggio Emilia)
  • Genaina Rodrigues (University of Brasilia)
  • Michael O'Neill (University College Dublin)
  • Richard Anthony (University of Greenwich)
  • Simon Dobson (University of St. Andrews UK)
  • Christopher Rouff (Johns Hopkins University Applied Physics Laboratory)
  • Hao Jiang (Southeast University)
  • hao huang (Nanjing University of Posts and Telecommunications,Nanjing,Jiangsu,China)
  • Yue Yin (Nanjing University of Posts and Telecommunications)
  • Li Zhang (China Agricultural University)
  • yu wang (Nanjing University of Posts and Telecommunications)
  • Manik Sharma (DAV University, India)+ BioDr Manik Sharma is MCA and UGC-NET qualified, and received his PhD degree in Distributed Query Optimization. He has more than 12 years of teaching experience, having previously worked as head of the Department of Computer Science and Application and officiating principal at Sewa Devi S.D. College, India. Currently, he is working as an Assistant Professor in the Department of Computer Science and Applications at DAV University, Jalandhar, India. His main research work focuses on query optimization, data mining, soft computing and machine learning. Currently, he is working in the area of data mining, machine learning and soft computing, with a specialization in the diagnosis of diseases and modeling of DSS query optimizers. The thrust area of his research is to improve predictive accuracy in early diagnosis of several fatal human disorders. He has published four books related to computer networks, internet applications, management information systems and database theory. In addition, he has published 25 research papers in various journals of international repute including some indexed by Scopus and Thomson Reuters. He also presented more than 10 research articles in various national and international UGC and IEEE conferences, and has given several talks on query optimization, data mining and health informatics. He is an active member of the international program committees, technical program committees, and advisory committees of several academic conferences.
  • Juan Wang (-Delta Micro Technology Inc)
Scope

Artificial intelligence (AI) was founded as an academic discipline in 1956 in order to "make the machine recognize, think, and learn like human beings". So as to emancipate human resources and achieve the goal of automation and mechanization. With the advancement of big data technology and high-performance computing, people are able to manage and mine the ever-increasing amount of data rapidly and effectively. As a result, the development of AI has reached a new peak. The areas of AI, including smart manufacturing, smart cities and smart medical services, are constantly expanding, covering many disciplines such as information theory, cybernetics, automation, mathematical logic and linguistics. This transaction accepts papers of theoretical research and engineering applications relevant to AI, including novel algorithms in AI such as machine learning and deep learning algorithms, as well as the latest achievement in other appropriate fields covering data mining, computer vision, natural language processing and autopilot. We believe that AI technologies will play an important and active role of research fields in next several decades. This Transactions provides an international and interdisciplinary forum to communicate results of new developments relate to AI algorithms and applications as well as the feasibility studies of these ideas in hardware and software.

Topics
  • AI for wireless communications
  • AI for signal processing
  • AI for image processing
  • AI for medical/biological analysis, visualization and diagnosis
  • AI for robotics
  • AI for audio, language and speech processing
  • AI for big data mining and analysis
  • AI for emotion analysis
  • AI for self-piloting automobile
  • Applications in neuroscience
  • Computer imaging, vision and graphics
  • Machine learning
  • Deep learning
  • Deep reinforcement learning
  • Pattern recognition
  • Automated reasoning and inference
  • Natural language processing
  • Knowledge and data engineering
Keywords
artificial awareness, Artificial intelligence, autonomic systems, collective adaptive systems, swarm intelligence, autonomous behavior, autonomy software engineering, knowledge representation, nondeterministic behavior, reasoning, resilience, safety, Security, self-adaptation, self-adaptive systems, self-awareness, self-healing, self-management, self-repair