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2,370 papers
This paper analyzes a matching problem in which the cost of each edge is a vector with $k$ components and provides various results including FPT-membership for parameters $k$ and $Z$ combined, as well as W[P]-membership and W[SAT]-hardness for each of the two parameters individually.
DIALER is designed, a system that exploits the spare compute cycles freed by retraining-free VFM inference to mitigate rare-class misclassifications and improves rare-class accuracy by up to 14.0% without interfering with real-time VFM inference for multi-stream analytics.
These findings demonstrate that utilizing hypergraph-aware decoders is critical, as the performance of bias-tailored codes is highly sensitive to the geometric structure of spatio-temporal correlated noise.
A pothole area measurement system based on U-Net models that employs the segmentation approach was created and deployed on edge computing devices and found that the improved ResNet U-Net model yielded the best results.
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UD-DDPG is proposed, a Lyapunov-guided queue-stable dynamic deployment framework for multi-UAV-assisted edge networks that jointly models task arrivals, air-to-ground transmission rates, UAV mobility constraints, and queue evolution, with the objective of minimizing long-term task transmission energy while maintaining...
A graph-based Mixture-of-Experts (MoE) framework that explicitly separates self and social influences to enable interpretable engagement modeling, which outperforms baselines by up to 64.1% while offering interpretable insights into engagement dynamics across language and gender groups.
Matching players between camera feeds in sports video is usually done with deep person re-identification (Re-ID) networks such as OSNet, which add a second learned model to the inference path. This report specifies a decoupled alternative for a broadcast camera and a tactical overhead camera. A YOLOv8 detector writes p...
This deposit contains the raw measurement data, result figures, and evaluationscript behind the evaluation chapter of the Master's thesis "Addressing Edge-CloudMicroservices SLOs with Scalable Theodolite Across Multiple Kubernetes Clusters"(Ravish Kumar, Kiel University, 2026). The study benchmarks a collaborative edge...
Per-cell accessibility metrics for Switzerland at approx. 100m resolution (H3 grid, resolution 10), computed in a time-based domain (gross travel time in seconds, including origin- and destination-side overheads), a utility-based domain (disutility from a fitted mode-choice discrete-choice model), and using straight-li...
FINDING: Topological insulators exhibit bulk-edge correspondence — the interior is insulating while the boundary conducts — governed by a topological invariant (Chern number or Z₂ index), with disorder-driven metal-TI transitions showing critical exponent ν ≈ 2.7. | MATH: Bulk-edge correspondence: σ_xy = (e²/h)·C, wher...
We report three results on the Z² hard-core (hard-square) lattice gas, each carried to completion by an exact-rational and certified-interval arithmetic discipline — never an unverified floating-point approximation. First, for the finite-strip transfer matrix of this model at widths L=2,3,4,5, we certify a branch point...
Advanced technologies, including unmanned aerial vehicles, artificial intelligence, and agricultural robotics, are transforming agricultural systems toward greater sustainability and efficiency, enabling automated solutions for labor-intensive manual processes in horticulture. Accurate tree crown detection from UAV ima...
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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