The goal of the 2021 IEEE 17th International Conference on Intelligent Computer Communication and Processing Software is to bring together researchers, engineers and practitioners working towards improving the power of both communication and processing software using the most advanced intelligent methods available today.
The growing toolkit of AI—computer vision, natural conversation, and machines that learn over time—has the potential to enhance almost the entire economic and social life. The driving forces of this development are the increased volumes of data, the continuously growing of communication, processing, storage capabilities and the new machine learning techniques especially deep learning and reinforcement learning algorithms.
The fast development of artificial intelligence and its applications implies more advanced but also more secure artifacts, which require the intelligent computer communication and processing technologies to improve at a high pace.
Depending on the evolution of the COVID-19 pandemic, ICCP 2021 could become a live online conference. If the conference will be held online no physical presence will be required and the sessions will become online based on a video conference software in accordance with the technical program schedule.
Technical tracks include, but are not limited to:
Machine Learning:
Theoretical contributions to: Supervised Learning, Semi-supervised Learning, Self-supervised Learning, Unsupervised Learning, Reinforcement Learning, Deep Learning, Transformers
Computer Vision:
Conventional Image Processing and Computer Vision Techniques, Machine Learning and Deep Learning Based Image Processing and Computer Vision Techniques: Image enhancement; Feature extraction; Segmentation; Semantic, Instance and Panoptic Segmentation, Optical Flow; Stereovision and 3D Reconstruction; Monocular Depth Estimation, Motion; 2D and 3D Object Detection, Tracking and Recognition; Multi-sensor and temporal fusion; Environment Representation; Driving Assistance Applications; Autonomous Driving; Robotic Applications; Biomedical Image Analysis
Intelligent Systems:
Agent-based and Multi-agent Systems; Knowledge Representation, Reasoning and Engineering; Ontology Modeling and Mediation; Machine Learning; Natural Language Processing; Multidisciplinary Topics and Applications, Web and Knowledge-based Information Systems; Systems and Organization.
Intelligent Distributed Computing and Networking:
Cloud Computing, Context Aware; Autonomic Computing; Resource Coordination and Management; Quality of Service; Queuing Network Models; Pervasive Computing; Grid Computing; Fault Tolerance; Cooperative Applications.
Special Sessions
HiPerGrid: organized in cooperation with Politehnica University, Bucharest, RO.
Cloud Computing organized by the Computer Science Department of Technical University of Cluj-Napoca, RO.
Workshops
Bosch Students Workshop
Organized by Robert Bosch Romania.
Semantic and Geometric Visual Perception
Organized by Technical University Cluj-Napoca, in the framework of the PN-III-P4-ID-PCCF-2016-0180 Integrated Semantic Visual Perception and Control for Autonomous Systems – SEPCA project.
Workshop on Big Data and Machine Learning in CloudUT
Organized by the Technical University of Cluj-Napoca, in the framework of the CLOUDUT Project, cofunded by the European Fund of Regional Development through the Competitiveness Operational Programme 2014-2020, contract no. 235/2020.