Conference Information

IC2ISC 2027: International Conference on Cognitive Informatics and Smart Computing

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Submission Date:
2027-02-15 Due in 122 days
Notification Date:
Conference Date:
2027-10-22
Location:
Bali, Indonesia
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Call For Papers

IC2ISC 2027 (International Conference on Cognitive Informatics and Smart Computing) is an academic conference held in Bali, Indonesia on 2027-10-22. The paper submission deadline is 2027-02-15.

Original unpublished contributions are solicited for presentation at the International Conference on Cognitive Informatics and Smart Computing (IC2ISC-2027). Papers cannot be submitted in parallel to any other conference or journal. All papers shall be tested for similarity/plagiarism with an acceptable limit of 15%. All submitted papers will be tested for similarity/plagiarism with an acceptable limit of 15%. Accepted and presented papers will be submitted for publication in the IEEE Conference Proceedings and inclusion in the IEEE Xplore Digital Library, subject to meeting IEEE quality standards and publication requirements. Content published in IEEE Xplore is typically indexed by SCOPUS and major abstracting and indexing databases Tentative List of Topics / Sessions Track 1: Cognitive Informatics, Artificial Intelligence and Data Science Cognitive models and architectures Brain-inspired intelligent systems Computational neuroscience Human cognition and information processing Artificial cognition and machine consciousness Deep learning and neural networks Generative AI and foundation models Reinforcement learning Explainable and trustworthy AI Federated and distributed learning Hybrid intelligent systems Data science and big data analytics Data mining and predictive analytics Knowledge engineering and semantic systems Intelligent information retrieval systems Cognitive analytics and visualization Recommendation systems Track 2: Smart Computing, IoT and Intelligent Automation Smart computing paradigms Edge, fog and cloud computing Ubiquitous and pervasive computing High-performance intelligent computing Context-aware and adaptive systems Internet of Things (IoT) Industrial IoT and Industry 5.0 Cyber-physical systems Sensor networks and embedded systems Digital twin technologies Smart cities and intelligent transportation Intelligent automation systems Robotics and autonomous systems Human-robot interaction Swarm and evolutionary robotics Smart manufacturing and industrial automation Track 3: Natural Language Processing, Computer Vision and Multimedia Intelligence Natural language understanding and generation Machine translation and multilingual computing Conversational AI and chatbots Speech and language processing Low-resource language technologies Sentiment and emotion analysis Human-computer interaction Computer vision and image understanding Pattern recognition and object detection Intelligent video analytics Signal and speech processing Vision transformers and multimodal AI Medical image analysis Remote sensing and satellite imaging Biometrics and surveillance systems Track 4: Cybersecurity, Communication and Emerging Technologies AI-driven cybersecurity Secure smart computing Blockchain and distributed ledger technologies Privacy-preserving machine learning Digital forensics and intrusion detection Trust and security management Secure cloud and edge computing Intelligent communication systems Quantum computing Neuromorphic computing AR/VR/MR and Metaverse technologies TinyML and embedded AI Green and sustainable computing Bio-inspired computing Future intelligent network systems Track 5: Smart Applications, Healthcare, Agriculture and Societal Systems AI in healthcare and biomedical systems Intelligent healthcare monitoring Medical decision support systems Precision agriculture and smart farming Climate informatics and sustainability Smart energy and environmental systems AI for societal benefit Smart governance and e-governance Smart education systems FinTech and intelligent business systems Intelligent supply chain and logistics Disaster prediction and management Assistive and inclusive technologies Industry-academia innovations Real-world AI applications and case studies
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