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AICCONF 2027: Cognitive Models and Artificial Intelligence Conference

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AICCONF
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투고 마감일:
2026-12-20 86일 남음
통보일:
2027-02-15
개최일:
2027-03-25
개최지:
Dubai, UAE
개최 횟수:
조회: 10428   팔로우: 2   참가: 0

회반 지수 (CP-I)

47.5 / 100
전체 5,687개 중 2,172위 · 상위 39%

인공지능·기계학습 분야 741개 중 232위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
48
커뮤니티 관심도 (10%)
21
공개 자료 충실도 (15%)
55

사용한 입력: 확인되는 개최 횟수: 5 · 회반에서 팔로우 중인 연구자: 2명 · 지난 24개월 동안 이 페이지를 연 연구자: 3명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 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 2026-09-25

논문 모집

AICCONF 2027 (Cognitive Models and Artificial Intelligence Conference) is an academic conference held in Dubai, UAE on 2027-03-25. The paper submission deadline is 2026-12-20. Acceptance notifications are sent on 2027-02-15.

Dear Researchers, Scientists, and Industry Professionals, 5th Cognitive Models and Artificial Intelligence Conference aims to share and discuss theoretical and practical knowledge in a scientific framework by bringing together scientists, experts, educators, non-governmental organizations, and private sector representatives. AICCONF aimed to serve as a multidisciplinary platform where current issues in the fields of engineering are discussed, as well as recent research paper presentations in the field of artificial intelligence. The technical program of AICCONF 2027 will include the presentation of invited speakers, posters, and regular sessions. AICCONF 2027 is an international conference organized for universities, research groups, companies, and technology groups from many countries to present their research results and innovative applications. The technical sponsor of AICCONF 2027 is IEEE SMC. All submitted full papers will be double-blind peer-reviewed and evaluated based on originality, research content, correctness, relevance to conference and readability. Accepted and presented full papers will be published in IEEE Xplore. The official language of the conference is English. We will be pleased to welcome you at the Cognitive Models and Artificial Intelligence Conference, which will be held in person and virtual on March 24-25, 2027 in Dubai, UAE. The main topics of the conference; Track 1 — Artificial Intelligence and Machine Learning Track 2 — Cognitive Computing and Computational Intelligence Track 3 — Natural Language Processing and Speech Technologies Track 4 — Computer Vision and Image Processing Track 5 — Robotics, Autonomous Systems and Intelligent Control Track 6 — Data Science, Big Data and Intelligent Analytics Track 7 — Internet of Things, Embedded Systems and Smart Technologies Track 8 — Cybersecurity, Privacy and Trustworthy Systems Track 9 — AI Applications in Engineering, Healthcare and Education Track 10 — Human-Centered AI, Ethics and Future Technologies Thank you for your scientific contribution and support to AICCONF 2027. Track 1 — Artificial Intelligence and Machine Learning This track focuses on theoretical and applied advances in artificial intelligence, machine learning, and intelligent decision-making systems. Contributions addressing both foundational methodologies and real-world AI deployments are encouraged. Topics include, but are not limited to: Supervised, unsupervised, and reinforcement learning Explainable and trustworthy AI Deep learning architectures and optimization Federated and distributed learning Hybrid AI systems Transfer learning and domain adaptation AI for decision support systems Intelligent recommendation systems Evolutionary and swarm-based optimization AI-driven predictive analytics Track 2 — Cognitive Computing and Computational Intelligence This track covers biologically inspired intelligence models, cognitive architectures, and computational paradigms that simulate human reasoning, perception, and learning. Topics include, but are not limited to: Cognitive modeling Neuro-symbolic AI Fuzzy systems and ANFIS Evolutionary computation Brain-inspired computing Human cognition simulation Knowledge representation and reasoning Intelligent agents and autonomous reasoning Adaptive learning systems Soft computing techniques Track 3 — Natural Language Processing and Speech Technologies This track aims to bring together researchers working on language understanding, speech processing, multilingual AI systems, and conversational technologies. Topics include, but are not limited to: Large Language Models (LLMs) Speech recognition and synthesis Sentiment and emotion analysis Conversational AI and chatbots Machine translation Text mining and information extraction Question answering systems Speech emotion recognition Low-resource language processing Multimodal language understanding Track 4 — Computer Vision and Image Processing This track focuses on intelligent visual analysis systems and image/video understanding technologies for academic and industrial applications. Topics include, but are not limited to: Image classification and segmentation Object detection and tracking Face recognition and biometrics Medical image analysis Remote sensing and satellite imaging Vision transformers and deep vision models Augmented and virtual reality Intelligent surveillance systems Image enhancement and restoration Multimodal vision systems Track 5 — Robotics, Autonomous Systems and Intelligent Control This track addresses theoretical and practical developments in robotics, autonomous decision-making, and intelligent control mechanisms. Topics include, but are not limited to: Autonomous robots and UAVs Human-robot interaction Intelligent navigation systems Swarm robotics Embedded AI systems Reinforcement learning for robotics Sensor fusion Industrial automation Adaptive and nonlinear control Cyber-physical systems Track 6 — Data Science, Big Data and Intelligent Analytics This track welcomes studies focusing on data-driven methodologies, scalable analytics systems, and intelligent data interpretation techniques. Topics include, but are not limited to: Big data architectures Predictive analytics Data mining and knowledge discovery Statistical learning methods Time-series forecasting Data visualization Decision intelligence Business analytics Stream data processing AI-driven financial analytics Track 7 — Internet of Things, Embedded Systems and Smart Technologies This track explores smart interconnected systems integrating embedded intelligence, sensors, and real-time communication technologies. Topics include, but are not limited to: IoT architectures and protocols Smart cities and smart environments Embedded AI and TinyML Edge and fog computing Wireless sensor networks Real-time monitoring systems Intelligent industrial systems Smart healthcare technologies Energy-aware embedded systems AI-enabled IoT security Track 8 — Cybersecurity, Privacy and Trustworthy Systems This track focuses on secure intelligent systems, AI-assisted cybersecurity solutions, and privacy-preserving computational methods. Topics include, but are not limited to: AI for cybersecurity Intrusion and anomaly detection Blockchain and decentralized systems Adversarial machine learning Secure federated learning Privacy-preserving AI Malware and phishing detection Biometric security systems Digital forensics Trustworthy autonomous systems Track 9 — AI Applications in Engineering, Healthcare and Education This interdisciplinary track highlights innovative applications of AI and cognitive systems in real-world domains. Topics include, but are not limited to: AI in healthcare and medical diagnosis Intelligent education systems Learning analytics and EDM Smart manufacturing AI for sustainability Intelligent transportation systems Smart agriculture Biomedical signal processing AI-assisted engineering systems Decision support in industrial environments Track 10 — Human-Centered AI, Ethics and Future Technologies This track investigates the societal, ethical, and human-oriented dimensions of intelligent systems and emerging technologies. Topics include, but are not limited to: Ethical AI and responsible innovation Human-centered computing Explainability and transparency AI governance and regulation Social implications of AI Bias and fairness in algorithms AI and sustainability Digital transformation Future AI paradigms Human-AI collaboration
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BA85.0MODELSInternational Conference on Model Driven Engineering Languages and Systems2026-03-202026-10-04
41.0Artificial IntelligenceInternational Conference on Automation and Artificial Intelligence2022-06-012020-05-21
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AA*97.7AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*91.2CVPRIEEE Conference on Computer Vision and Pattern Recognition2025-11-062026-06-03
BA*89.7ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*94.1IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*92.4STOCACM Symposium on Theory of Computing2026-11-022027-06-06
C87.4ICCInternational Conference on Communications2026-10-022027-05-30
CB62.7IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Cognitive Processing1.4Springer1612-4782
Cognitive Systems Research2.4Elsevier1389-0417
Cognitive Psychology3.0Elsevier0010-0285
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

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