Abstract: The rise of quantum computing threatens traditional cryptographic systems, driving the urgent adoption of PQC algorithms for securing IoT and edge computing environments. However, selecting ...
We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...
Abstract: This article proposes design techniques for partially calibrated sparse linear subarrays and algorithms to perform direction-of-arrival (DOA) estimation. First, we introduce array ...
ABSTRACT: This study investigates the complex relationships among organizational identification, organizational self-esteem, and employee loyalty among grassroots employees working in small and medium ...
Background: Mutations in cancer cells can result in the production of neoepitopes that can be recognized by T cells and trigger an immune response. A reliable pipeline to identify such immunogenic ...
ABSTRACT: The integration of artificial intelligence into the development and production of mechatronic products offers a substantial opportunity to enhance efficiency, adaptability, and system ...
Background: With machine learning (ML) carving a niche in diverse medical disciplines, its role in sepsis prediction, a condition where the ‘golden hour’ is critical, is of paramount interest. This ...
Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...
Large language models (LLMs) have seen rapid advancements, making significant strides in algorithmic problem-solving tasks. These models are being integrated into algorithms to serve as ...
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