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2,653 papers
This study, titled "5G Use Case Labs for Financial Services," evaluates the technological parameters, network performance, and financial feasibility of deploying dedicated 5G use case labs in retail banking. The transition to high-speed digital banking is supported by 5G technologies, including network slicing and Mobi...
Cloud-edge computing enables scalable and resilient deployment of microservice-based applications, however achieving resource efficiency while ensuring stringent Quality of Service (QoS) remains challenging. The strong interdependencies among microservices and non-linear latency effects near resource saturation render...
Holographic Informational Ontology Framework - The Field (HIOF•tF) A short, non-technical companion to the four-part HIOF-tF series. Written for readers with a background in physics, information theory, or philosophy of science - not readers already familiar with the author's wider framework. The core idea, stated plai...
This paper examines the transition from centralized cloud computing to Fog Computing as a foundational enabler for real-time Digital Twin City systems in urban environments and proposes a three-layer edge-fog-cloud hierarchy that enables a continuous virtual synchronization with physical urban environments and supports...
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This software generates, counts, and classifies codes of rotation systems of cell-embedded graphs in oriented surfaces with a fixed root vertex and a fixed oriented sector. For a given number kk of edges, a code is a finite sequence over the alphabet {0,1,…,k}. Each number 1,…,k occurs exactly twice, while 0 may occur...
Safe drilling in hydrate-bearing sediments is essential for environmentally responsible natural gas hydrate development. Complex pressure variations, fluid migration, and mechanical disturbances during drilling may increase the risks of gas influx, lost circulation, pipe sticking, and wellbore instability. To improve d...
Methodologically, the Research Topic is characterised primarily by quantitative empirical analyses using cross-sectional surveys, provincial panel datasets and quasi-natural experiments, complemented by simulation-based approaches such as agent-based modelling and evolutionary game theory. These approaches provide impo...
The wavegram match is measured on a grid that can resolve the delay The bin two detectors' maps are compared on is derived by the network stage from what the comparison has to represent, instead of being inherited from the column width of whichever rendering was passed to it. Two bounds fix it and both are physical: a...
Version 2.4. We independently implement the Connes–Consani–Moscovici (CCM) operator construction described in arXiv:2511.22755 in Rust using arbitrary-precision MPFR/GMP arithmetic. This manuscript is an independent reproduction and empirical analysis of the CCM construction; it does not claim to prove the limiting con...
Abstract The Gilbert graph $$\mathcal {G}_{q,n,d}$$ G q , n , d , which arises naturally in graph theory and coding theory, is the regular graph on $$\mathbb {F}_q^n$$ F q n in which two vertices are adjacent if their Hamming distance is less than d , and it is vertex-transitive. We classify all parameters ( q , n , d...
“Technology is not a distant vision—it is the reality we are shaping today.” The Research Bulletin 2026 (Vol. 3, Issue 1) from the Department of Computer Application, Integral University presents the department’s dynamic engagement with cutting‑edge research and innovation through the work of its faculty members and re...
Let [Formula: see text] be a simple graph on [Formula: see text] vertices and [Formula: see text] denote the corresponding binomial edge ideal in [Formula: see text], where [Formula: see text] is a field. In this paper, we provide an upper bound for the regularity of binomial edge ideals of trees. Our approach leverage...
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
Announcing Gemini 4 Argon, our frontier model for real-world coding, enterprise knowledge work and cyber defense, rolling out soon.
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