会議情報
ICICM 2023: International Conference on Information Communication and Management
http://www.icicm.org/提出日: |
2023-09-20 |
通知日: |
2023-10-05 |
会議日: |
2023-11-07 |
場所: |
Cairo, Egypt |
年: |
13 |
閲覧: 9925 追跡: 2 出席: 3
論文募集
Papers describing original work are invited in any of the areas listed below. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions. The scope of ICICM2023 covers the below topics, but not limited. Track-1: AI in Digital Marcomm Management 1. AI & Analytics in Marketing Communications Topics include, but are not limited to, the following: ● Artificial intelligence (AI) in strategic marketing communications decision-making ● Artificial intelligence in advertising ● The possibilities for integrating online and offline communications in the future. ● Mixing human and AI-generated profiles in communications trustworthiness ● The impact of AI on Language, content, and style ● Analytics and insights that can drive marketing communications decisions and channels and tools. ● Data privacy concerns and regulatory responses ● AI in planning, scheduling, and optimizing communications. ● Cross-channel attribution analytics 2. Artificial Intelligence Mediated Communications (AI-MC) Topics include, but are not limited to, the following: ● The impact on AI on communication education and workforce training ● AI and the future of work in communications ● AI and creativity in IMC ● Can AI be used to block communications (e.g., AI enhanced Ad Blockers)? ● Generative AI and content ● Fake news and deep-fake challenges and detection 3. The Consumer Behavior and AI-enhanced Digital Communications Topics include, but are not limited to, the following: ● The impact of, AI, immersive technologies, AR, and VR on digital consumers' journey and decision making ● The ethical implications of AI use in communications ● AI-enhanced communication in the VUCA world, and during times of crises ● The potential role of AI to influence public opinion and mood. ● Response to hyper-personalization ● The consequences of User-Generated Content and crowdsourcing of information ● The influence of AI enhanced digital communication on lifestyles, culture, opinions, and quality of life. Track-2: AI & Communication Technologies 1. Machine Learning (ML) based communications and networking Topics include, but are not limited to, the following: ● Next-generation networking systems ● Semantic communications ● Drone communications ● Reconfigurable Intelligent Surfaces (RIS) ● Satellite communication systems ● Terahertz communications ● Public Safety Communication systems ● Open Radio Access Networks (O-RAN) ● Age of Information ● Integrated sensing and communications ● Smart Grid communications ● Heterogeneous networks 2. Internet of everything and pervasive computing Topics include, but are not limited to, the following: ● IoT networking and computing architectures ● Edge, fog, and cloud computing ● AI and machine learning for IoT ● Embedded and energy-harvesting systems ● Low power wide area networks (LPWAN) for IoT ● Implanted and wearable computing ● Mobile data science & analysis ● Mobile health ● Novel applications of wireless signals ● Mobile systems and applications ● Practical quantum applications and systems (quantum sensing, quantum programming, quantum machine learning, etc.) ● Sensing with radio, light, sound, and acoustics ● IoT applications in: smart factories, smart workspace, smart agriculture, education, health, transportation, entertainment, sports, … ● Digital Twins ● IoT and the Metaverse ● Ubiquitous computing and mobile human-computer interaction ● Underwater networking and sensing ● Localization and tracking ● Middleware systems and services ● Data engineering for pervasive computing ● Activity and emotion recognition ● Smart vehicles and drones ● Disaster sensing and management ● Participatory and social sensing ● Device-free sensing ● Social Internet of Things 3. Big Data Analytics and Applied Machine Learning (AML) Topics include, but are not limited to, the following: ● Time Series Analysis and Forecasting ● Social Network Analysis and Mining ● Machine Learning Applications in the fields of fraud detection and cybersecurity ● Recommender Systems and Personalization Algorithms ● Explainable AI and model interpretability ● Data Visualization and Storytelling ● Federated Learning ● Stream Processing and Event-driven analytical methods ● Real-time Big Data Analytics ● Reinforcement Learning for Decision Support Systems ● Health Analytics and Machine Learning applications in the medical domain ● Transfer Learning and Model Reuse ● Emerging trends and challenges in Machine Learning and Big Data Analytics
最終更新 Dou Sun 2023-09-14
関連会議
関連仕訳帳
CCF | 完全な名前 | インパクト ・ ファクター | 出版社 | ISSN |
---|---|---|---|---|
ACM Transactions on Privacy and Security | 1.974 | ACM | 2471-2566 | |
c | Information and Management | 10.32 | Elsevier | 0378-7206 |
Information Systems Management | 2.042 | Taylor & Francis | 1058-0530 | |
b | Information Processing & Management | 7.466 | Elsevier | 0306-4573 |
Information Technology and Management | 1.533 | Springer | 1385-951X | |
Information Processing and Management | 6.222 | Elsevier | 0306-4573 | |
a | Information and Computation | 0.704 | Elsevier | 0890-5401 |
Journal of Global Information Management | 1.222 | IGI Global | 1062-7375 | |
Graphs and Combinatorics | 0.498 | Springer | 0911-0119 | |
Modeling, Identification and Control | The Research Council of Norway | 0332-7353 |
完全な名前 | インパクト ・ ファクター | 出版社 |
---|---|---|
ACM Transactions on Privacy and Security | 1.974 | ACM |
Information and Management | 10.32 | Elsevier |
Information Systems Management | 2.042 | Taylor & Francis |
Information Processing & Management | 7.466 | Elsevier |
Information Technology and Management | 1.533 | Springer |
Information Processing and Management | 6.222 | Elsevier |
Information and Computation | 0.704 | Elsevier |
Journal of Global Information Management | 1.222 | IGI Global |
Graphs and Combinatorics | 0.498 | Springer |
Modeling, Identification and Control | The Research Council of Norway |
おすすめ