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RTIICSM 2024 : International Conference on Recent Trends in Inter Disciplinary Innovations bridging Computer Science and Life Science | |||||||||||||||
Link: https://drive.google.com/file/d/1B1nU7oVLoIB-M8Vm8lOJAl7jwb9bcgQU/view?usp=drive_link | |||||||||||||||
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Call For Papers | |||||||||||||||
• Artificial Intelligence & Machine Learning: Deep Learning Techniques -Reinforcement Learning - AI in Healthcare, Finance, and other sectors.
• Cybersecurity: Quantum Cryptography- Biometric Security- IoT Security- AI-driven Threat Intelligence - Quantum Computing. • Quantum Algorithms: Quantum Hardware - Implications for Classical Systems -Blockchain & Distributed Ledger Technologies. • Smart Contracts: Blockchain in Supply Chain - Cryptocurrencies and Financial Systems -Cloud, Fog, and Edge Computing. • Decentralized Systems: Latency and Real-time Processing - Security in Edge Devices. • Augmented Reality, Virtual Reality & Mixed Reality (AR/VR/MR). • Immersive Education: Medical Applications- Gaming and Entertainment -IoT & Smart Systems. • Smart Cities: Industrial IoT - Home Automation - Networking and Communications. • 6G and Future Networks: Software-defined Networks - Satellite Communication -Robotics and Automation. • Human-robot Interaction: Robotic Process Automation (RPA) -Drones and Unmanned Systems - Sustainable & Green Technologies. • Green Computing: Energy-efficient Architectures - IT in Renewable Energy Solutions - Human-Computer Interaction (HCI). • Gesture-based Computing: Voice User Interfaces - User Experience Design in Modern Apps - Data Science & Big Data. • Real-time Data Processing: Predictive Analytics- Data Privacy and Ethics - Software Engineering & DevOps • Genomic Data Analysis: Protein Structure Prediction -AI in Drug Discovery -Digital Ethics & Governance. • Regulation of AI and Automation: Digital Privacy Rights -Ethical Considerations in Big Data – Organizers. • Bioinformatics and Computational Biology • Biomedical Imaging and Signal Processing • Healthcare Informatics and Data Analytics • Artificial Intelligence (AI) in Life Sciences • Computational Modelling in Biological Systems • Bio inspired computing and algorithm • Ethical and Social implications of interdisciplinary research • Interdisciplinary collaborations and education |
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