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ICICI 2026: International Conference on Innovations in Computational Intelligence

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투고 마감일:
2025-12-31 Extended
통보일:
2026-02-15
개최일:
2026-04-24
개최지:
Ghaziabad, India
조회: 3447   팔로우: 0   참가: 0

회반 지수 (CP-I)

43.8 / 100
전체 5,645개 중 3,196위 · 상위 57%

인공지능·기계학습 분야 734개 중 378위

근거가 제한적입니다: 이 학회는 CCF / ICORE / QUALIS 어디에도 수록되어 있지 않고 게재율 데이터도 없어, 점수의 대부분이 중립 기준값으로 되돌아갑니다.
학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
커뮤니티 관심도 (10%)
10
공개 자료 충실도 (15%)
35

사용한 입력: 지난 24개월 동안 이 페이지를 연 연구자: 3명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 25% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-08-31

논문 모집

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researchers, scholars, industry professionals, and practitioners from across the globe to submit their original and unpublished research papers.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
최종 수정: Dou Sun ()

관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

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