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edge computing

3,051 papers

#edge computing Sep 2026

A short-term power load prediction method based on Attention-LSTM in the context of optical-computing synergy

The Attention-LSTM model has performed better than the Persistence, LSTM and GRU models in terms of MAE, RMSE and MAPE, and according to the ablation experiment, the attention layer and some kinds of modal input variables are also useful.

Yue-Sheng Zheng, Yao-Ting Chen, Shi-Hao Yin et al. · 0 citations
#edge computing Sep 2026

Insulation condition assessment of 10kV cable joints based on multi-dimensional feature extraction and D-S decision fusion

A two-tier cascaded assessment framework based on multi-dimensional feature extraction and Dempster-Shafer (D-S) decision fusion is proposed to address the physical blind spots inherent in single-parameter monitoring and the boundary ambiguity caused by high-noise environments during the insulation deterioration of 10...

Ke-Yu Yue, Da-Long Fu, Zi-Qin Zhou et al. · 0 citations
#edge computing Open access Sep 2026

Fusion of MLP, XGBoost, and QAT-Optimized PointNet++ for Predicting Short-Term Dendrometer-Derived Stem Dynamics: An Edge-Oriented Computational Framework

A fusion-based artificial intelligence framework that integrates Quantization-Aware Training (QAT)-optimized PointNet++ models with machine-learning regression to predict a short-term dendrometer-derived stem-diameter response expressed in biomass-equivalent units is proposed.

Furkat Bolikulov, K. Zohirov, Gayrat Mannonov et al. · 0 citations
#edge computing Open access Sep 2026

A Unified Finitist Indefinite-Hermitian Framework for 3+1D Spacetime: Clifford Simplex Dynamics, Quadratic Character Identities, and a Conjectural Finitist-to-Continuum Program

This research paper establishes a limit-free, finite-dimensional algebraic framework for discrete spacetime geometry and quantum kinematics in (3+1) dimensions. Operating over the finite Galois field F_p (with prime characteristic p > 5 and p = 3 mod 4) and its quadratic extension F_p[delta] (isomorphic to the field of...

John D. Coady · 0 citations
#edge computing Open access Sep 2026

Structural Lemmas for the First-Prime Window of the Weil Quadratic Form

We prove six structural results for the local Weil quadratic form $Q_W^L$ on $L^2(-L,L)$ in the interval $\tfrac{1}{2}\log 2 < L < \tfrac{1}{2}\log 3$, the first-prime window where only the prime $n = 2$ contributes to the explicit formula. Our main technical contribution () is an algebraisation showing that the matric...

T. Lin · 0 citations
#edge computing Open access Sep 2026

The RAPS Dome: A Distributed Multimodal Passive Sensor-Fusion Architecture for Edge-Networked Monitoring and Bayesian Decision Support

This manuscript presents the RAPS Dome as a distributed, passive, multimodal sensor-fusion architecture for edge-networked monitoring and Bayesian decision support. The system extends the earlier Sensor Dome concept by combining distributed acoustic sensing (DAS), acoustic and infrasound arrays, encapsulated heterodyne...

Marcel Krūger, Don Feeney, Jacobo Rodríguez · 0 citations
#edge computing Open access Sep 2026

Why Fisher's exact test is least exact where it matters most: achieved size, wasted power, and a routing rule for 2x2 tables -- m02d Reproducibility deposit

Why Fisher's exact test is least exact where it matters most: achieved size, wasted power, and a routing rule for 2×2 tables William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell. ORCID 0009-0004-0855-7222. Concept DOI (always resolves to the latest version): 10....

William Dwyer · 0 citations
#edge computing Open access Sep 2026

Epistemic Inventory and Taxonomy of Claims

Here we present four companion documents for the program corpus listed below. The Taxonomy of Claims lists the theory's claims and assigns each one a status. The claims are grouped in four tiers: Framework (the laws and constants, which the theory does not derive), Derived from Framework (quantities computed from the f...

Scott Weller · 0 citations
#edge computing Open access Sep 2026

Epistemic Inventory and Taxonomy of Claims

Here we present four companion documents for the program corpus listed below. The Taxonomy of Claims lists the theory's claims and assigns each one a status. The claims are grouped in four tiers: Framework (the laws and constants, which the theory does not derive), Derived from Framework (quantities computed from the f...

Scott Weller · 0 citations
#reinforcement learning Open access Sep 2026

LUPittore: software che impara da solo a dipingere come un umano, prima versione, verrà accelerato l'apprendimento

# LUPittore[cite: 2] ## Description[cite: 2] LUPittore is an autonomous, standalone Python desktop application for Windows 10 and Windows 11 combining raster canvas manipulation, multilayer digital compositing, procedural brush engines, and autonomous stroke-based rendering (SBR)[cite: 2]. The software is implemented e...

Luigi Usai · 0 citations
#artificial intelligence Book Sep 2026

AI-Driven IoT (AIIOT) in Brain Health Study

Context and Justification The prevalence of neurodegenerative diseases around the world demands a paradigm change from reactive, episodic clinical diagnosis to ongoing, proactive neuro-monitoring. The possibility for early detection and individualized management is limited by the fact that traditional diagnostic techni...

Kutubuddin Sayyad Liyakat Kazi · 0 citations
#machine learning Preprint Sep 2026

H3DNAS: Hardware-Aware ONNX-Native 3D Point Cloud Model Compression

H3DNAS is presented, a hardware-aware model compression framework that operates directly on ONNX computational graphs without requiring original source code, architecture class definition, or gradient access during search during search, and is the first source-code-free compression pipeline for 3D point cloud models.

Anchit Mulye, R. Baghel, Sujay Kumar Ingle et al. · 0 citations

From tech blogs

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Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.

MIT News · Artificial Intelligence Oct 28, 2026

Making machines that can listen

Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.

Microsoft Research Blog Oct 21, 2026

Solving a 31-year-old grand challenge in mathematics – the KLS conjecture

For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

Microsoft Research Blog Oct 15, 2026

Proof-based general-purpose computing with Magnetar

Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.

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