edge computing

Descriptors to Dynamics: A Materials and Device Perspective on in-Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence.

Reservoir computing is attractive for edge intelligence because it not only reduces training overhead but also turns transient material physics into computation. In in-materio systems, memory, nonlinearity, separability, and efficiency are not added later at the circuit level; they emerge from defect kinetics, ionic mo...

MMoRWaD: A Multimodal Dataset for Recyclable Waste Recognition Acquired with an Edge-Node Reverse Vending Machine Station

This work developed a custom edge-node reverse-vending-machine data-collection station equipped with multimodal sensors to co-record RGB-D video streams and impact audio on a single local compute node within the same acquisition window to support research on multimodal waste recognition, sensor fusion, and resource-eff...

Change Management for Supply‐Chain Transformation

This chapter is an analytical report of the way in which data are generated, collected, processed, and used in the consumer device ecosystem. It starts with classifying the different types of devices, which produce varying streams of data, through the use of smartphones, wearables, and smart home systems, among others....

FAMIO: Reproducibility Package for "Joint Communication, Computation, and Trajectory Optimization for UAV-Enabled Mobile Edge Computing in Smart City IoT Networks"

MATLAB implementation, instance files, saved results and figure scriptsreproducing every figure in the manuscript "Joint Communication,Computation, and Trajectory Optimization for UAV-Enabled Mobile EdgeComputing in Smart City IoT Networks" (Scientific Report under review, 2026). The package implements FAMIO, a feasibi...

Reusing Spare Vehicle Computing Capacity: Is It Viable, Profitable and Sustainable?

Simulator and reproduction scripts for the paper of the same title. The capsule regenerates every figure and table of the paper and of its supplementary material from the raw output of the simulation campaign, which is downloaded on run. Vehicular Cloud Computing is evaluated on SUMO traces of downtown Rome under three...

New edge proposed: wolfe_wave_abcd_breakout — E8 Intelligence Research

{ "name": "wolfe_wave_abcd_breakout", "source": "Bill Wolfe / Wolfe Wave trading literature", "type": "entry_engine", "rule": "Identify a 5-point Wolfe Wave on 15min-1H bars where point 3 is below point 1 (for bullish) and point 5 is below point 3 with slope of line 1-4 pointing up; enter long when price breaks above t...

AI-Enhanced Anomaly Detection in Water Treatment Plants

Industrial water treatment plants are increasingly dependent on cyber–physical systems (CPS) and automated control processes for their operational safety and efficiency. However, the embedding of digital control networks exposes these critical infrastructures to sophisticated cyber–physical attacks, including malicious...

Connecting the Canopy: C-Band and Ku-Band Satellite Technologies for Sustainable Oil Palm Plantation Management in Indonesia—A Review

Indonesia's oil palm plantations are increasingly expected to combine high productivity with environmental protection, traceability, worker welfare, and smallholder inclusion. Achieving these objectives requires reliable digital connectivity across plantation landscapes that are frequently extensive, remote, and inadeq...

Collaborative Research: CyberTraining: Pilot: A Zero Trust-Based Security Training Program in Open RAN Cyberinfrastructure

The Open Radio Access Network (O-RAN) has emerged as a transformative advancement in next-generation cellular cyberinfrastructure through its support for open interfaces, modular architectures, virtualization, and multi-vendor interoperability. Although these capabilities significantly accelerate innovation in future m...

Sustainable Cloud Computing in the AI Era: Energy-Aware Infrastructure, Edge Integration and Security Challenges

It is concluded that future cloud systems need to provide performance while also reducing unnecessary energy consumption and maintaining security and reliability, and that artificial intelligence can be used to improve cloud resource management and reduce resource usage.

BC-250 LLM inference benchmarks: harnesses and raw results for the J.UCS revision (akandr/bc250, jucs-revision-5)

Harnesses and raw results for the experiments added in the J.UCS revision of the paper Deploying LLM Inference on a Repurposed UMA APU: Transferable Lessons from a Vulkan-Only, 16 GB Edge Platform. Contents: benchmarks/bench-a*.py, benchmarks/diag-*.py, benchmarks/heads.py: measurement harnesses (KV-cache width versus...

SolanEdge: A Real-Time Edge-IoT Framework for Explainable Potato Disease Detection and Recommendation Using Lightweight Deep Learning