Welcome To
International Conference on Intelligent Knowledge Systems and Engineering Applications (IKSEA’24)
IKSEA’24 Venue: Cambridge City, England, United Kingdom.
Cambridge, England https://intelligentks.com/
contact@intelligentks.com
Exclusive 45% Discount for Early Submissions
Attend in Person or Remotely.
Submit your abstract, short paper, or full paper by August 25, 2024, and enjoy a 45% discount on the submission fee. This initiative is aimed at encouraging diverse international participation and ensuring a rich collection of research from across the globe.
We are thrilled to announce that the International Conference on Intelligent Knowledge Systems and Engineering Applications (IKSEA’24) will be held at tCambridge City, England, United Kingdom. From December 12, 2024, to December 13, 2024.
IKSEA’24 Proceedings volume will be submitted to the Procedia Computer Science series online. Procedia Computer Science is hosted by Elsevier: Read More.
The International Conference on Intelligent Knowledge Systems and Engineering Applications is a premier forum for researchers, practitioners, and industry experts to discuss and present their latest research and developments in the field of artificial intelligence. The primary aim of this conference is to provide a platform for the exchange of ideas and knowledge on the latest advances, trends, and challenges in AI and its applications.
The scope of this conference covers a broad range of topics in the field of Intelligent Knowledge Systems and Engineering Applications, including but not limited to artificial intelligence, machine learning, data mining, knowledge representation and reasoning, natural language processing, and robotics. Additionally, this conference also focuses on the practical applications of intelligent knowledge systems and engineering in various domains, such as healthcare, finance, manufacturing, transportation, and smart cities.
Through a series of keynote speeches, plenary sessions, technical paper presentations, workshops, and poster sessions, this conference provides an opportunity for participants to learn about the latest research, share their experiences, and engage in discussions with their peers. The conference also includes exhibitions and demonstrations of the latest AI technologies and applications.
The International Conference on Intelligent Knowledge Systems and Engineering Applications aims to foster collaboration among researchers, academics, industry professionals, and policymakers to promote the development and use of AI for the betterment of society. We hope that this conference will facilitate the exchange of knowledge and ideas, encourage new research collaborations, and help advance the field of artificial intelligence.
In addition to the on-site conference, authors will have the option to present their papers remotely using the Zoom application. This feature is particularly beneficial for authors who are unable to travel to the conference location or those who prefer to present their work from their home institution.
Remote paper presentations will be conducted in real-time, allowing authors to interact with the audience and receive feedback on their work. Remote presenters will have access to all conference sessions, and they will be able to participate in discussions and Q&A sessions using Zoom’s interactive features.
To ensure that remote presenters have a smooth and seamless experience, our technical team will provide support and guidance before and during the conference. We will also ensure that remote presentations are of the same high-quality standards as on-site presentations, with clear audio and video, and easy-to-read slides.
Overall, the option for remote paper presentations will provide an inclusive and accessible conference experience for all authors, regardless of their location or travel restrictions. We encourage all authors to take advantage of this feature and participate in this exciting event.
Intelligent Knowledge Systems
and Engineering Applications(IKSEA 2024)Conference Topics
Knowledge-Based Systems:
- Knowledge Representation and Reasoning
- Expert Systems and Decision Support Systems
- Ontology Engineering and Semantic Web
- Knowledge Acquisition and Management
- Knowledge Discovery and Data Mining
- Explainable AI and Interpretability
Intelligent Information Processing:
- Natural Language Processing and Understanding
- Machine Learning Algorithms and Techniques
- Sentiment Analysis and Opinion Mining
- Information Retrieval and Filtering
- Intelligent Agents and Multi-Agent Systems
- Speech Recognition and Synthesis
- AI in Education and E-Learning
Engineering Applications:
- Intelligent Control Systems
- Robotics and Autonomous Systems
- Cyber-Physical Systems
- Smart Cities and Internet of Things (IoT)
- Biomedical Engineering and Healthcare Applications
- Energy Systems and Smart Grids
- Industrial Automation and Robotics
Cognitive Computing:
- Cognitive Modeling and Simulation
- Human-Computer Interaction and User Experience Design
- Cognitive Analytics and Decision-Making Systems
- Cognitive Robotics and Affective Computing
- Brain-Computer Interfaces (BCIs)
- Neuromorphic Computing
Intelligent Data Analytics:
- Big Data Analytics and Machine Learning
- Pattern Recognition and Computer Vision
- Predictive Analytics and Data-Driven Decision-Making
- Deep Learning Architectures and Applications
- Federated Learning and Edge Computing
- Reinforcement Learning and Sequential Decision-Making
Knowledge-Based Engineering:
- Knowledge-Based Design and Optimization
- Knowledge-Intensive CAD/CAM/CAE Systems
- Knowledge-Based Manufacturing Systems
- Knowledge-Based Engineering Education and Training
- AI-Driven Product Design and Innovation
- Engineering Ethics and Responsible AI
Applications in Industry and Society:
- Smart Manufacturing and Industry 4.0
- Intelligent Transportation Systems
- Environmental Monitoring and Sustainability
- Social Network Analysis and Computational Social Science
- AI in Finance and Fintech
- Legal Tech and AI for Legal Applications
AI Ethics and Policy:
- Ethical AI and Responsible AI
- AI Governance and Regulation
- Privacy-Preserving AI
Emerging Technologies:
- Quantum Computing and AI
- Blockchain and AI Integration
- AI in Augmented and Virtual Reality