You are invited to submit your abstracts for (ICBMLIA-2025). The abstracts should be written in English, the official language of the event.Authors are invited to submit manuscripts incorporating original unpublished research and recent developments in the topics related to the conference.
All Selected Papers will be published in Taylor & Francis* Conference Proceeding.
| TRACK 1 | TRCAK 2 | TRACK 3 | TRACK 4 |
|---|---|---|---|
| Big Data and Analytics | Machine Learning | Internet of Thing(IoT) | Applications(Multidisciplinary) |
| Foundational Models for Big Data, Algorithms and Programming Techniques for Big Data Processing, Big Data Analytics and Metrics, Cloud Computing Techniques for Big Data, Big Data as a Service, Big Data Open Platforms, Big Data Persistence and Preservation, Big Data Quality and Provenance Control, Big Data Storage and Retrieval, Big Data System Security and Integrity, Big data in COVID-19 analysis and applications. | Active Learning, Nonlinear Dimensionality Reduction and Manifold Learning Boosting and Ensemble Methods, Classification and Clustering, Collaborative Filtering, Components Analysis, Missing Data, Adaptive Data Analysis, Regression, Semi-Supervised Learning, Spectral Methods, Stochastic Methods, Structured Prediction, Unsupervised Learning, Machine learning based solutions for COVID-19 and applications. | IoT Protocols and Standards, IoT and 5G Networks, IoT Interoperability and Multi-Platform Integration, IoT Mining, and Analytics, Ultra-low power IoT Technologies and Embedded Systems Architectures, and profiling in heterogeneous IoT, Wearables, Smart Portable Devices, Design Space Exploration Techniques for IoT Devices and Systems, Security, Privacy, and Trust for IoT, Internet of Health Things (IoHT) for COVID-19 and applications. | Sensors Data Management, IoT Applications, Services, and Implementations, Resource identification, discovery, Body Sensor Networks, Precision Agriculture Smart city, Fog Computing, Cloud Computing, Systems biology, IoT Medical and Health informatics, related applications of Big Data, Machine Learning,AI and IoT etc. |