This work investigates structured learning architectures that preserve hardware, orbital, and RF information, including a Subsystem-Fusion MLP and a hierarchical multimodal Transformer that models both cross-subsystem interactions and temporal evolution and demonstrates the value of structured multimodal modeling and r...
Kyle Stein, Guillermo A. Francia, Eman El-Sheikh et al.· 0 citations
Retrieval-augmented techniques improve automated code repair by grounding generation in external programming knowledge, but most prior approaches assume a static knowledge base. This assumption is problematic in scientific computing, where libraries, APIs, and dependencies evolve continuously. This paper presents RAILS...
Wali Mohammad Abdullah, Sayeed Islam, Md. Morshedul Islam et al.· Annual International Compute...· 0 citations
Document fraud, particularly involving passports, poses significant security risks and can lead to severe consequences such as unauthorized entries into a country. Blockchain technology has advanced the concept of Self-Sovereign Identity (SSI), a user-controlled and secure identity management paradigm built on top of b...
Sifat Jahan Sajin, Mohammad Mahmudul Haque Siam, Abdullah Al Anan et al.· Annual International Compute...· 0 citations
Large Language Models (LLMs) offer significant potential for clinical decision support, but their deployment is constrained by hallucination, privacy risks, and limited interpretability. Retrieval-Augmented Generation (RAG) improves reliability by grounding outputs in patient-specific electronic health records (EHRs);...
A. K. I. Riad, Md Abdul Barek, Hossain Shahriar et al.· International Conference on...· 0 citations
The rapid growth of the Internet of Things (IoT) in critical domains such as healthcare, smart cities, cybersecurity, and finance has led to the generation of large volumes of distributed data and increased susceptibility to cyberattacks. Although federated learning (FL)-based intrusion detection systems (IDS) have bee...
Md. Morshedul Islam, Hossain Shahriar, Alfredo Cuzzocrea et al.· Annual International Compute...· 0 citations
Large Language Models (LLMs) are now deployed at an unprecedented scale across many critical sectors, rapidly transitioning from experimental AI tools to embedded components of production software systems. This accelerated adoption, often enabled by low-code integrations, has lowered technical barriers while simultaneo...
Md Abdul Barek, Md Bajlur Rashid, A. K. I. Riad et al.· Annual International Compute...· 0 citations
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