Información de la conferencia

ITCCMA 2026: International Conference on Information Technology, Control, Chaos, Modeling and Applications

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ITCCMA
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Día de Entrega:
2026-08-29
Fecha de Notificación:
2026-09-26
Fecha de conferencia:
2026-10-17
Ubicación:
Sydney, Australia
Ediciones:
Vistas: 16340   Seguidores: 0   Asistentes: 1

Índice Conference Partner (CP-I)

51,0 / 100
Puesto n.º 1.346 de 5.680 congresos · 24% superior
Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50 —
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
71
Atención de la comunidad (10%)
10
Integridad del registro público (15%)
55

Datos utilizados: Ediciones documentadas: 13 · Investigadores que abrieron esta página en los últimos 24 meses: 3

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Premios al mejor artículo (+2,3)
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Solicitud de Artículos

ITCCMA 2026 (International Conference on Information Technology, Control, Chaos, Modeling and Applications) is an academic conference held in Sydney, Australia on 2026-10-17. The paper submission deadline is 2026-08-29. Acceptance notifications are sent on 2026-09-26.

Scope & Topics 13th International Conference on Information Technology, Control, Chaos, Modeling and Applications (ITCCMA 2026) will provide an excellent international forum for sharing knowledge and results in the fields of Information Technology, Control Systems, Chaos, Computer Modeling, Computer Science and applications. The Conference looks for significant contributions to all major fields of the Information Technology, Control Systems, Chaos and Modeling in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following: Machine Learning, Deep Learning and Reinforcement Learning Foundation Models, LLMs, SLMs and Multimodal AI AI Agents, Autonomous Systems and Tool Use Neuro Symbolic AI, Hybrid Intelligent Systems and Soft Computing Evolutionary Algorithms, Genetic Computing and Bio Inspired Optimization Chaos Theory, Nonlinear Dynamics, Hyperchaos and Chaotic Neural Networks Complex Adaptive Systems, Emergent Behavior and Self Organizing Systems Modern Control, Intelligent Control and Learning Based Control System Identification, Fault Detection and Diagnostics Robotics, Autonomous Navigation, Multi Robot Coordination and HRI Cyber Physical Systems, Real Time Control and Distributed Control Modeling, Simulation, Digital Twins and Scientific Computing Optimization, Stochastic Modeling and Game Theory Remote Sensing, Geospatial AI and Earth Observation Computer Architecture, Accelerators and Real Time Systems Distributed, Parallel, Scalable and High Performance Computing Grid, Cloud, Edge and Fog Computing AI Native Operating Systems, Compilers and Runtime Systems Inference Serving Systems, GPU Scheduling and Cluster Orchestration Signal Processing, Time Frequency Analysis and Audio Analytics Image Processing, Pattern Recognition and Computer Vision Speech Processing, Speech Synthesis and Audio Language Models Multimedia Systems, Compression, Streaming and Immersive Media Networking, Communications and Distributed Protocols Wireless Systems, 5G/6G, Terahertz and AI Native Networking Network Digital Twins, Programmable Data Planes (P4) and LLM Driven Network Management Cybersecurity, Intrusion Detection and Secure Systems AI Security, Adversarial ML, LLM Safety and Model Supply Chain Security Post Quantum Cryptography, Secure Protocols and Privacy Preserving ML Blockchain, Web3, Decentralized Systems and Secure Ledgers Databases, Vector Search, Embedding Indexing and Semantic Retrieval Data Lakehouse, Streaming AI Pipelines and Big Data Systems Software Engineering, DevOps, CI/CD and Intelligent Automation Programming Languages, Compiler Optimization and Runtime Performance Quantum Computing, Quantum ML and Quantum Accelerated AI Spatial Computing, AR/VR/XR, VisionOS and Synthetic Reality Intelligent Applications, Smart Systems and Ubiquitous Computing
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CCFNombre CompletoFactor de ImpactoEditorISSN
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