edge computing

Exact Permutation Moments for Walsh Interaction-Order Energies: A Projector Specialization of Quadratic-Form Randomization Theory

WHAT THIS PACKAGE DOES This reproducibility package accompanies the methods manuscript "Exact Permutation Moments for Walsh Interaction-Order Energies: A Projector Specialization of Quadratic-Form Randomization Theory" (J600, Roshankumar Chandaliya, QDL project). It provides the complete open-source implementation, exh...

A multimodal dataset of computed spectra for organic molecules with a chemistry-constrained agent interface

24,126 computational IR, Raman, UV–Vis, fluorescence, ¹H/¹³C NMR, and C/N/O/F K-edge XANES records for 2,991 organic molecules, with a chemistry-constrained agent for reproducible workflows.

Berge-Fulkerson Covers, Cycle Double Covers, Flows and Exact Normality Defects of the First Counterexamples to the Petersen Coloring Conjecture

Jaeger's Petersen coloring conjecture (1988), which asserted that every bridgeless cubic graph admits an edge map onto the Petersen graph sending every vertex star onto a vertex star, was refuted in August 2026: Putman exhibited two nonisomorphic 112-vertex counterexamples with SAT-solver certificates, Jooken gave a hu...

Physics-Informed Reconstruction of Unmeasurable Cardiac Fields from Real Data: Electrocardiographic Imaging and 4D-Flow Aortic Pressure, Verified Against Known Answers, with Null Results

Two clinically decisive cardiac quantities cannot be measured where they are needed: the heart-surface potential map (measured only with an invasive electrode cage) and the intra-vascular pressure field (measured only with a catheter). Each is tied by a governing equation to a quantity measurable non-invasively, the bo...

torch-fem

Added IsotropicDamage1D, IsotropicDamagePlaneStrain and IsotropicDamagePlaneStress, so a Truss and a Planar model can carry damage. Under plane stress the out-of-plane strain follows the in-plane one and contributes to the tangent. TransverseIsotropicElasticityPlaneStress and TransverseIsotropicElasticityPlaneStrain, s...

Source Code for Federated Edge Learning over Optical-UAV Access Links with Deterministic-Payload Compression and Packetized Scheduling

This code-only package accompanies the manuscript “Federated Edge Learning over Optical-UAV Access Links With Deterministic-Payload Compression and Packetized Scheduling.”The software implements static mixed-resolution compression with error feedback (SMR-EF) and PacketFair scheduling for simulated federated learning o...

Federated Learning with Spiking Neural Networks: A Lightweight and Privacy-Preserving Framework for Edge Intelligence

Federated Learning (FL) enables privacy-preserving distributed machine learning by keeping raw data local. However, conventional Artificial Neural Networks (ANNs) impose high computational and energy costs. Spiking Neural Networks (SNNs), inspired by biological neurons, provide energy-efficient computation via sparse s...

Self-organizing memristive networks as physical learning systems

Graph neural network-based service migration decision in vehicular networks

The rapid development of the Internet of Vehicles (IoV) has led to an exponential increase in the number of latency sensitive and computationally intensive tasks. Due to the limitations of onboard computing resources in vehicles, offloading these tasks generated during vehicle operation to a remote cloud for processi...

Machine learning and remote sensing for smallholder precision agriculture in Ethiopia

While machine learning (ML) and remote sensing (RS) are frequently heralded as the definitive solutions for agricultural resilience in Sub-Saharan Africa, a profound ‘implementation gap’ persists between laboratory-validated computational maturity and field-level utility for smallholder farmers. This systematic review,...

Enabling Technologies

Ambient Intelligence (AmI) is a new vision of human–technology interaction enabling digital environments to be reactive, adaptable, and attentive to the needs of individuals. The symbiotic complementary roles of four facilitating technologies Internet of Things (IoT), Artificial Intelligence (AI), Edge Computing, and C...

A unified unsupervised framework of multi-modal image super resolution and fusion via implicit neural representation

With the rise of dual-mode therapy and imaging, it is still challenging to accurately and precisely monitor structural organs during therapy. We present a self-supervised implicit neural representation (INR) framework to solve multi-modal image super resolution (MIR) and image fusion (MIF) for image guidance in therapy...