会议信息

ICICI 2026: International Conference on Innovations in Computational Intelligence

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截稿日期:
2025-12-31 Extended
通知日期:
2026-02-15
会议日期:
2026-04-24
会议地点:
Ghaziabad, India
浏览: 3450   关注: 0   参加: 0

会伴指数 (CP-I)

43.8 / 100
全站第 3,196 名 / 共 5,645 个会议 · 前 57%

人工智能与机器学习 第 378 / 734

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
10
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 25% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-08-31

征稿

ICICI 2026 (International Conference on Innovations in Computational Intelligence) is an academic conference held in Ghaziabad, India on 2026-04-24. The paper submission deadline is 2025-12-31 (extended). Acceptance notifications are sent on 2026-02-15.

The International Conference on Innovations in Computational Intelligence (ICICI-2026) invites researchers, scholars, industry professionals, and practitioners from across the globe to submit their original and unpublished research papers. The conference will focus on advancements in computational techniques with a particular emphasis on artificial intelligence, machine learning, and other cutting-edge technologies. The final accepted papers will be considered for presentation in hybrid mode. All the accepted and presented papers will be submitted to IEEE Xplore (Scopus Indexed) for possible inclusion through IEEE CIS. ICICI-2026 offers a platform for the exchange of ideas and dissemination of innovative research across a variety of tracks. Contributors are invited to submit their work under the following seven tracks: All the accepted, registered, and presented papers will be submitted to IEEE Xplore (Scopus Indexed) through IEEE Computational Intelligence Society (CIS) for possible inclusion. Track 1: Artificial Intelligence and Machine Learning This track focuses on the latest developments in AI and machine learning algorithms, methodologies, and applications. Deep Learning and Neural Networks Reinforcement Learning AI in Healthcare Transfer Learning Machine Learning for Autonomous Systems Explainable AI AI for Natural Language Processing Ethical AI and Fairness AI in Robotics AI for Edge and Cloud Computing Track 2: Data Science and Big Data Analytics This track explores methods and technologies that help analyze, manage, and extract insights from large datasets. Predictive Modeling Big Data Frameworks and Platforms (Hadoop, Spark) Data Visualization Techniques Data Mining and Knowledge Discovery Big Data in Healthcare Real-time Data Processing Sentiment Analysis and Opinion Mining Data Cleaning and Preprocessing Data Privacy and Security in Big Data Machine Learning on Large-scale Data Track 3: Internet of Things (IoT) and Smart Systems This track focuses on smart systems and IoT applications across various industries. IoT Architectures and Frameworks Smart Cities and Infrastructure Edge Computing and IoT Sensor Networks and Data Management IoT for Healthcare and Wearables Industrial IoT Applications Security in IoT Networks AI in IoT Systems Smart Agriculture and Environment Monitoring Connected Vehicles and Autonomous Systems Track 4: Cybersecurity and Cryptography This track addresses emerging challenges in ensuring data security, privacy, and integrity in modern computational environments. Cryptography and Encryption Techniques Intrusion Detection and Prevention Systems AI and Machine Learning for Cybersecurity Blockchain and Distributed Ledger Technologies Security in Cloud Computing Cybersecurity in IoT Systems Threat Modeling and Risk Analysis Post-Quantum Cryptography Secure Software Development Lifecycle (SSDLC) Cyber-Physical System Security Track 5: Natural Language Processing This track covers advances in understanding, generating, and processing human language using computational methods. Large Language Models (LLMs) Machine Translation Speech Recognition and Synthesis Question Answering Systems Information Extraction and Retrieval Text Summarization Named Entity Recognition (NER) Sentiment Analysis Chatbots and Conversational AI Multilingual NLP Track 6: Computer Vision This track explores techniques enabling machines to interpret and understand visual information from the world. Image Classification and Recognition Object Detection and Tracking Facial Recognition Image Segmentation Video Analysis 3D Vision and Reconstruction Medical Image Analysis Autonomous Vehicles and Vision Systems Augmented and Virtual Reality Generative Models for Images Track 7: Computational Intelligence This track focuses on nature-inspired algorithms and intelligent systems for solving complex problems. Neural Networks Fuzzy Logic Systems Evolutionary Algorithms Swarm Intelligence Genetic Programming Hybrid Intelligent Systems Neuro-Fuzzy Systems Particle Swarm Optimization Ant Colony Optimization Artificial Immune Systems Track 8: Interdisciplinary Applications This track encourages submissions that apply computational intelligence to diverse fields and cross-disciplinary research. AI in Healthcare and Medicine Computational Social Sciences AI in Education Environmental Monitoring and Climate Modeling Smart Agriculture AI in Finance and Economics Computational Biology and Bioinformatics AI for Sustainability Human-Computer Interaction AI Ethics and Policy
由 Dou Sun 最后更新于

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