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CICom 2021: EAI International Conference on Computational Intelligence and Communications

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CICom
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투고 마감일:
2021-05-01
통보일:
2021-06-01
개최일:
2021-09-02
개최지:
Versailles, France
개최 횟수:
2
조회: 10835   팔로우: 0   참가: 0

회반 지수 (CP-I)

38.0 / 100
전체 5,682개 중 5,407위 · 상위 96%

인공지능·기계학습 분야 739개 중 701위 네트워크·통신 분야 864개 중 831위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
30
커뮤니티 관심도 (10%)
8
공개 자료 충실도 (15%)
25

사용한 입력: 확인되는 개최 횟수: 2 · 지난 24개월 동안 이 페이지를 연 연구자: 2명

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 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-20

논문 모집

CICom 2021 (EAI International Conference on Computational Intelligence and Communications) is an academic conference held in Versailles, France on 2021-09-02. The paper submission deadline is 2021-05-01. Acceptance notifications are sent on 2021-06-01.

CiCOM 2021 will provide an opportunity to exchange innovative research on Computational Intelligence and Communications. Computational Intelligence makes use of biologically and linguistically motivated computational paradigms including neural networks, fuzzy logic systems, and evolutionary computation, as well as social reasoning, artificial life, ambient intelligence, deep learning, and the likes. New technologies in communications bring new application paradigms for healthcare, transportation, education, agriculture, and social networks. With the arrival of 5G and 6G networks technologies, we need to address new research challenges, including the tight integration of machine intelligence, efficient and reliable networking, interoperability, scalability and security. Track topics include, but are not limited to: Track 1: Computational Intelligence in Automation, Control, and Intelligent Transportation System Intelligent Decision Making and Support Adaptive and Optimal Control Model-Predictive Control Fuzzy Systems and Control Fuzzy Neural Systems and Control Hybrid Intelligent Control Object recognitions, traffic sign detection and recognition Multimodal intelligent transport systems & services Vehicle communications and connectivity Driver and traveller support systems Simulation and forecasting models Driver assistance and automation systems Driver state detection and monitoring Track 2: Computational Intelligence on Big Data, Internet of Things, and Smart Cities Efficient algorithms on processing and analysis of big data Extracting and understanding from distributed, diverse and large-scale data resources Visualisation of big data and visual data analytics Human-computer interaction and collaboration in big data Classification, Clustering, Regression Data mining from nonstationary and drifting environments Novel Architecture and Protocols of AI Integrated with IoT Security, Privacy, Access Control, & Trust Frameworks of IoT Resource Management Techniques of Using AI for IoT Control Schemes in IoT Smart Data Storage in IoT Track 3: Computational Intelligence on Wireless Communication Systems and Cyber Security Machine Learning for Networks Unmanned Aerial Vehicles Wireless Sensor Networks Network Virtualization Software Defined Networks | Blockchain and its security Waveforms and Radio Access Technologies Software Defined Radio Visible Light Communication (VLC) Radio Access Networks Intrusion/malware detection, prediction, and classification Sensor network security, web security, wireless and 4G, 5G media security Self-awareness, auto-defensiveness, self-reconfiguration, and self-healing networking paradigm Modelling adversarial behaviour for threat detection Cloud and virtualization security Track 4: Computational Intelligence on Human/Brain-omputer Interfaces & Image and Pattern Recognition Signal processing for Brain-Computer Interface (BCI) BCI Feature Extraction, Pattern Recognition, and Multiple modalities for BCI Invasive and non-invasive BCIs. Online and offline BCI applications Advances on Human-Computer Interfaces Feature ranking and weighting Feature selection, extraction, construction, and reduction Feature analysis on high-dimensional and large-scale data Evolutionary computation for feature analysis Information theory, statistics, mathematical modelling, etc., for feature analysis Feature analysis in classification, clustering, regression, image analysis, and other tasks Real-world applications of computational intelligence for feature analysis
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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