Accepted Authors who are unable to attend the event in person will be given an option to present remotely. In any case, all matters related to publication and indexing will remain unchanged. EAI is actively monitoring the COVID-19 situation to ensure the safety, comfort and quality of experience for attendees and a successful course of the event in 2022.
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Update: Proceedings have been published in SpringerLink Digital Library Part I and SpringerLink Digital Library Part II
ICISML 2022: 1st International conference on intelligent systems and machine learning (ICISML-2K22) is the premier conference in the field of emerging technologies In today’s world intelligent systems are a new and rapidly growing technology. A large volume of data can be generated and made available for analysis. Human Lacks the cognitive ability to comprehend such a massive volume of data. Humans can use machine learning (ML) to process enormous volumes of data and get insights into how the data behaves. These machines can learn from their mistakes and do human-like tasks.
Track 1 Imgae recogntion :
Track 2 Machine Learning:
Track 3 Intelligent systems and Machine Learning Applications:
Track 4 Intelligent Communication Networks:
All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library
Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.
All accepted authors are eligible to submit an extended version in a fast track of:
Additional publication opportunities:
This event is organized by EAI.
EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.
EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.
EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.
Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.