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INTAP 2021 : 4th International Conference on Intelligent Technologies and Applications


When Oct 11, 2021 - Oct 13, 2021
Where Grimstad, Norway
Submission Deadline Jun 18, 2021
Notification Due Aug 15, 2021
Final Version Due Aug 30, 2021
Categories    artificial intelligence   robotics   intelligent telecom systems   intelligent health

Call For Papers

The 4th International Conference on Intelligent Technologies and Applications (INTAP'21) will be held on October 11–13, 2021 at the University of Agder (UiA), Grimstad, Norway. INTAP'21 will be co-organised by the University of Agder (UiA) and by Oslo Metropolitan University (OsloMet) with the support of the Center for Artificial Intelligence Research (CAIR), UiA, Norway, and the Artificial Intelligence Research Group, Islamia University of Bahawalpur (IUB), Pakistan. INTAP'21 will be technically sponsored by Springer. INTAP'21 will address recent advancements in the field of machine learning and artificial intelligence that has resulted in a number of emerging fields of research such as Robotics, Ambient Intelligence, Pervasive Intelligence, Web Intelligence, Bio-Inspired Intelligence, and many more. Emergence of new fields of intelligent computing has opened novel horizons of research and development. These advancements in the field of intelligent computing are effecting the human life. Moreover, we are interested to investigate the way of the modern intelligent technologies simplifying decision making and information processing.

The aim of this conference is to provide an internationally respected forum for scientific research in the computer-based methods and technologies of collective intelligence and their applications in (but not limited to) such fields as green computing, ambient computing, ubiquitous computing, power computing, global computing, pervasive computing, etc.

Topics of interest for INTAP'21 include, but are not limited to:

- Intelligence: Agents, deep learning, machine learning, knowledge representation, web intelligence, multiple intelligence, and natural language understanding, etc.
- IoT: AI Powered Sensors for IoT, Sensor based Systems, Sensor fusion, Smart buildings, Smart Cities, Wearable systems, Implantable Systems, etc.
- Smart Electrical Energy Systems: Opportunities and Challenges for Integration of Renewable Energy Systems
- Data Analysis: Big data analytics, text analytics, web analytics, business intelligence, etc.
- Decision support systems: humanitarian operations, Health emergencies and pandemics, Business and commercial settings, Industrial operations, etc.
- Intelligent Environments: Ambient, virtual, and mixed reality, semantic web, etc.
- Social Media Analytics: Text mining, opinion mining, sentiment analysis, etc.
- Smart Environments: Pervasive intelligence, ubiquitous computing, RFID and BLE, etc.
- Robotics: Machine Design, Industrial IT, Intelligent Monitoring, Robotics & Vision, Collaborative Robots, Urban Ocean Technology.
- Visual Communication: Affective interactions, intelliVision, multimedia learning, intelligent video surveillance
- Intelligent Telecom Systems: 5/G IOT, Digital Forensices, Fraud mitigation, Market Analysis and Forecast
- AI and ML in Security: AI and ML for border security, AI and ML for threat and attack modelling, AI and ML for criminal ontologies, AI and ML for secure information communication, privacy preserving AI and ML, trustworthy AI, AI and ML applications in security of energy, health, crime, smart city, smart grid etc. domains, AI and ML in biometrics, big-data and AI in security
- AI for Software Engineering: principles, practices and applications
- ML in energy sectors and materials: electrical and heat load forecasting, wind power and PV generation forecasting, control of micro grids, equipment condition monitoring and maintenance, power supply restoration, etc.
- Applications of intelligent technologies in Emergency Management: smart technologies for situational awareness, disaster event detection and prediction, evacuation support, robotics and UAV for decision support, cyber-physical systems, data fusion and visualisation, security and safety for smart cities, smart technologies, and automation for information sharing
- ML and AI for Intelligent Health
- ML and AI for sensing technologies: RF sensing, radar sensing, Wi-Fi sensing, wearable sensing, LIDAR sensing, etc.
Miscellaneous: Ambient intelligence, persuasive intelligence, bio-inspired intelligence, etc.

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