International Conference on Computer Science, Artificial Intelligence, Machine Learning [ICCSAIML'25]
About Conference:
International Conference on Computer Science, Artificial Intelligence, Machine Learning aims to be the preeminent meeting place for scholars, professionals, and enthusiasts in these quickly developing sectors. In order to address the revolutionary effects of machine learning, Artificial Intelligence (AI), and the Internet of Things (IoT) across multiple areas, this conference seeks to research and advance these fields. Experts from academia, business, and government come together on the multidisciplinary platform of ICCSAIML'25 to present research findings, exchange ideas, and talk about new developments in machine learning, artificial intelligence, and the Internet of Things. The conference offers a forum for discussing theoretical developments, real-world applications, and policy consequences in these quickly developing domains. The conference's main goals are to facilitate the dissemination of cutting-edge research innovations and best practices, as well as interdisciplinary collaborations and partnerships among researchers, practitioners, and industry leaders to address complex changes. The conference covers all fields and topics that cover the broad spectrum of AI, ML, and IoT. We encourage research papers that use multifaceted methodologies as well as theoretical, quantitative, qualitative, or mixed-methods approaches.
Scope:
ICCSAIML'25 brings industrial applications and case studies demonstrating the practical implications of AI, ML, and IoT technologies. Also provides opportunities for learning, professional development, and networking for participants at all career stages. ICCSAIML'25 promises to be a vibrant hub of innovation and collaboration, driving forward the boundaries of machine learning, artificial intelligence, and the Internet of Things. By gathering leading minds and practitioners from around the globe, the conference aims to shape the future of technology and its profound impact on industries, societies, and global development.
Topics:
Manuscripts are most welcome and not limited to the topics mentioned below,
- AI at the Edge.
- AI for accessibility.
- AI for disaster prediction.
- AI governance and ethical frameworks.
- AI in Education.
- AI in Healthcare.
- AI in Insurance.
- AI in optimizing supply chains and logistics.
- AI in sustainability.
- AI, IoT, and augmented reality.
- AI-driven virtual reality.
- Autonomous IoT Networks.
- Autonomous Systems.
- Blockchain for secure IoT ecosystems.
- Chatbots.
- Connected vehicles and vehicle-to-everything (V2X) communication.
- conversational AI.
- Cross-Domain Applications.
- Cybersecurity.
- Data privacy and security.
- Democratization of AI and IoT.
- Edge computing.
- Human-centered AI.
- Human-machine interaction in AI and IoT environments.
- Hybrid AI.
- Industrial IoT (IIoT).
- Industry 4.0 applications.
- IoT in 5G networks.
- IoT in agriculture.
- IoT, AI, and ML in precision medicine.
- Natural language generation.
- Quantum computing applications in AI and IoT.
- Scalability and interoperability.
- Security challenges in IoT.
- Smart Assistants.
- Smart grid technologies.
- Smart Homes.
- Smart irrigation and crop monitoring.
- Smart waste management systems.
- Wearable IoT devices.
- Data Mining & Data Visualization.
- Big Data Analytics (Hadoop, Spark, etc.)
- Predictive Modeling & Statistical Analysis.
- Business Intelligence & Decision Support Systems.
- Algorithms & Data Structures.
- Programming Languages (Python, Java, C++, Rust, etc.)
- Operating Systems (Linux, Windows, macOS, etc.)
- Computer Networks & Security.
- Databases & SQL (MySQL, MongoDB, PostgreSQL, etc.)
- Software Engineering & Development.
- Cloud Computing & Virtualization.
- User Experience (UX) & User Interface (UI) Design.
- Augmented Reality (AR) & Virtual Reality (VR).
- Voice & Gesture-Based Interfaces.
- Accessibility in Computing.
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