Conference Information

KST 2027: International Conference on Knowledge and Smart Technology

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KST
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Submission Date:
2026-09-10 Due in 4 days
Notification Date:
2026-10-10
Conference Date:
2027-03-17
Location:
Tokyo, Japan
Years:
Viewed: 20902   Tracked: 5   Attend: 0

Conference Partner Index (CP-I)

54.6 / 100
Ranked #832 of 5,650 conferences · Top 15%
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
81
Community attention (10%)
28
Public record completeness (15%)
55

Inputs used: Editions on record: 19 · Researchers following it here: 5 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-05

Call For Papers

KST 2027 (International Conference on Knowledge and Smart Technology) is an academic conference held in Tokyo, Japan on 2027-03-17. The paper submission deadline is 2026-09-10. Acceptance notifications are sent on 2026-10-10.

RESEARCH TOPICS 01 Computational Intelligence Explainable AI (XAI) Federated Learning Edge AI and IoT Integration AI for Cybersecurity AI Ethics and Fairness Reinforcement Learning (RL) Natural Language Processing (NLP) AI in Healthcare Quantum Machine Learning Generative Adversarial Networks (GANs) AI for Climate and Environmental Monitoring Autonomous Systems and Robotics AI in Finance and Economics AI for Social Good Transfer Learning and Domain Adaptation Meta-Learning AI-Driven Design and Creativity Advanced Computer Vision AI in Education AI-Enhanced Human-Computer Interaction (HCI) Large Language Modelling (LLM) 02 Intelligent Computer Networks and systems Accelerators in Heterogeneous Architectures Architectures and Designs of Fog and Edge Computing Cloud-native Technologies and Serverless Architectures Containerization (Docker, Kubernetes) Computer Architecture and Design Methods Cybersecurity Threat Intelligence Zero Trust Architecture Security for AI and Machine Learning Systems Software-Defined Networking (SDN) Network Function Virtualization (NFV) 5G/6G Technologies Embedded Systems IoT and Edge AI Integration Energy-efficient AI for IoT and Edge Devices High Performance Computing Network Management and Analysis Network Protocol and Architecture Mobile Edge Computing (MEC) AI and Machine Learning in Mobile Applications Quantum Computing Artificial Intelligence and Machine Learning in Networking Internet of Things (IoT) and Smart Cities Cyber-Physical Systems (CPS) Blockchain for Network Security Digital Twin Technology 03 Emerging Intelligent Technology AI-Powered Web Crawlers and Knowledge Graphs Digital Twins and Synthetic Biology Brain-Computer Interfaces and Neurotech Emotion AI and Contextual Intelligence AI in Fintech and Algorithmic Trading Computer Vision for Human Behavior Analysis Swarm Intelligence and Collaborative AI Systems AI for Climate Resilience and Disaster Mitigation Deep Learning in Multimedia Analytics Adaptive and Personalized User Experiences Immersive Technologies and Extended Reality (XR) Multimodal AI and Cross-Media Understanding Large Language Models and Generative AI Voice AI and Conversational Interfaces AI-Driven Object Detection and Scene Understanding
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