Conference Information

CINE 2026: International Conference on Computational Intelligence and Networks

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Submission Date:
2025-11-20
Notification Date:
2025-12-20
Conference Date:
2026-03-12
Location:
Bhubaneswar, India
Viewed: 2898   Tracked: 0   Attend: 0
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CINE
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Conference Partner Index (CP-I)

43.6 / 100
Ranked #3,472 of 5,693 conferences · Top 61%

#431 of 742 in Artificial Intelligence & Machine Learning

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
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%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · 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 25% - 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 2026-10-06

Call For Papers

CINE 2026 (International Conference on Computational Intelligence and Networks) is an academic conference held in Bhubaneswar, India on 2026-03-12. The paper submission deadline is 2025-11-20. Acceptance notifications are sent on 2025-12-20.

Thrust Areas (But not limited to) Track-1: Data Science and Analytics Applied Soft Computing Probabilistic Modelling Gaussian Processes Exploratory Data Analysis Data Management & Engineering Imbalanced Data Visualization and Analysis Feature Selection / Dimensionality Reduction Programming & Tools Domain Applications Topological Data Analysis Track-2: NLP and LLM Text Detection from Visual Mediums Large Language Models Text Summarization Generative Texts Electronics Health Record Analysis Question and Answer Hallucination Detection Knowledge Graph Multimodal Language Processing Language Technologies for Low-resource Languages Track-3: IoT, Sensors and Sensor Networks Routing and Addressing Internet of Medical Things Internet of Vehicles / Drone Mobile e-commerce, multimedia Wireless network architectures Mobile sensor networks Personal area networks Network Economics and Game Theoretic Modeling Power management and control, low-power protocols Track-4: Cryptography and Blockchain Blockchain in Education Smart Contracts and Verification Transaction Monitoring and Analysis Regulations & Policies in Cryptocurrency Blockchain for Internet of Things/Cyber Physical Services Blockchain-Driven Supply Chain Management Systems Distributed Consensus & Fault Tolerance Algorithms Performance, Scalability Issues in Blockchain Distributed Database for Blockchain Blockchain-based Decentralized App Development Track-5: Applications of AI and ML Automation with Agentic AI Metric Learning Recommendation Systems Explainable AI (XAI) Ethics of AI ML in Climate Action Scalable ML Time-series Forecasting Indoor Localization Biometric Systems and Bioinformatics Brain Signal Classification fMRI Data Visualization and Analysis Neuro-rehabilitation Track-6: Computer Vision and Image processing Image Classification Image Restoration Image Registration Pose Estimation Satellite Image Analysis Space Objects Detection Video-based Smart Surveillance Face Expression Recognition Object Detection and Segmentation Human Activity Recognition Visual Question Answering Brain Image Segmentation Track-7: Deep Learning and GenAI Foundational Model Architectures Training & Optimization Techniques Multimodal & Cross-Modal Generation Reasoning, Planning & Agentic Systems Detection of AI-generated content (deepfakes, text) Efficient inference techniques (quantization, pruning) Reinforcement Learning from Human Feedback (RLHF) and alignment Track-8: Advanced and Emerging Technologies Quantum Machine Learning Quantum Communication Social Network Analysis Metabolic Networks Traffic Networks Supply-chain Networks Gene Regulatory Network Accelerated Computing
Last updated by Dou Sun on

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