Researches

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Article Full-text Available

INFERENCE ECONOMICS: A NEW PARADIGM FOR THE ECONOMICS OF ARTIFICIAL INTELLIGENCE

Published in: Working Paper

Apr 02, 2026

We introduce Inference Economics as a new subfield of economics organized around the production, pricing, and consumption of AI inference tokens — the fundamental digital commodity that provides access to artificial intelligence capabilities. As frontier AI models from oligopolistic providers (OpenAI, Anthropic, Google, xAI) become as foundational to production as electricity was in the early twentieth century, a new economics is required to understand how tokens are produced, priced, consumed,...


Article Full-text Available

An optimized SDN framework for the internet of things

Published in: Discover Computing

Feb 01, 2026

Zina Houhamdi Mohamed Raid Athamena Belkacem Athamena Shorouq Eletter

Low-power wireless networks (LPWN) have traditionally been central to the Internet of Things (IoT) discussion. Nevertheless, as these networks grow more complex, their control architectures and protocols reveal significant limitations, particularly when dealing with multi–hop topologies and lossy channels. To tackle these challenges, there has been growing interest in adopting Software–Defined Networking (SDN), which has revolutionized data center and campus network management over the past dec...


Article

Modified YOLOv8x model for coronary stenosis detection and troponin risk stratification

Published in: Discover computing

Jan 20, 2026

Roaa Albasrawi Muhammad Ilyas Qutaibah Althebyan

Detection of coronary artery stenosis and risk stratification of troponin play a pivotal role in offering early diagnosis and treatment of cardiovascular diseases. In this paper, an improved deep learning framework that allows using both spatial and frequency-based attention mechanisms will be proposed using a modified YOLOv8x framework. Upon benchmarking YOLOv8, YOLOv9, and YOLOv10 models, YOLOv8x was chosen due to its excellent baseline, and the enhancement was done to make it more clinically...

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