edge computing

Exploring Smart Infrastructure Development through IIOT, Cloud Computing and Big Data Analytics

The rapid expansion of the Industrial Internet of Things (IIoT) has revolutionized modern technological infrastructure, generating unprecedented volumes of data through massive sensor deployments. However, extracting actionable value from this data remains a critical challenge due to the computational, networking, and...

Edge Computing vs. Cloud Computing: Which is the Future?

As businesses strive to improve efficiency, reduce latency, and leverage the power of data, understanding the strengths and limitations of these two computing paradigms is crucial. Full article: https://davidohnstad.net/edge-computing-vs-cloud-computing-which-is-the-future/

Edge Computing vs. Cloud Computing: Which is the Future?

As businesses strive to improve efficiency, reduce latency, and leverage the power of data, understanding the strengths and limitations of these two computing paradigms is crucial. Full article: https://davidohnstad.com/edge-computing-vs-cloud-computing-which-is-the-future/

Bidirectional reservoir computing for efficient human action recognition using skeleton data

Edge AI-Driven Multimodal Sensor Fusion for Environmental Forecasting in Smart Aquaculture Monitoring

As the global aquaculture industry moves towards high density and integrated efficiency, the precision and immediacy of water quality management have become key to increasing productivity and reducing risks. Traditional aquaculture relies on manual experience or simple threshold controls, which often suffer from respon...

An unsupervised micro-anomaly detection method using UKAN with physical residual decoupling for industrial robots

Abstract Industrial robot grasping faces several key challenges, such as subtle anomaly features, scarce abnormal samples, significant domain shifts in training trajectories, and constrained edge computing capacities. To address these issues, this study introduces an unsupervised anomaly detection method, namely the Ph...

The Guarino Infrastructure Dependency Metric, Paper IV. Winter Storm Elliott: Does the Buffer Group Travel?

Papers I to III of this series built the buffer group ΠB = Ta/Tx for the edge between two infrastructure nodes, tested it plant by plant on the February 2021 Texas chain, and priced its hours with a cost group ΠC = ca/(vCd), all on one event. This paper reads a second. Winter Storm Elliott, 22 to 26 December 2022, ran...

lctriage — experiment outputs for "Persistence, Not Consensus" (TESS sectors 1, 2, 13)

Experiment outputs behind every table and figure of Persistence, Not Consensus: Measured Triage of Unsupervised Anomaly Rankings of TESS Light Curves, produced with lctriage 1.1.0 on TESS sectors 1, 2 and 13. Kept apart from the catalogue so that scores computed on synthetically modified light curves cannot be mistaken...

Spectral Extremality Amplification on Quantum Graphs: One-Sided Equality Rigidity, Complete Extremal Classification, and Quantitative Constraint Gaps

This research release develops a rigidity theory for sharp eigenvalue bounds on finite compact metric quantum graphs. Its central result is a proof candidate showing that, in the stated high-index regime, equality in a single sharp lower eigenvalue bound forces the full extremal spectral structure: maximal threshold mu...

GenSi Holdings LLC: Formal Declaration and Implementation of the GenSi™ InventTech Innovation Hub and Sovereign IP Pooling Protocol

======================================= GENSI™ INVENTTECH HUG & SOVEREIGN IP PROTOCOL ======================================= REGISTRANT: Stephan Richard Lee ORCID iD: 0009-0008-1177-3857 ASSIGNEE: GenSi Holdings LLC Georgia LLC Control Number: 26197798 LEGAL PERIMETER: Continuous Iterative Progress (CIP) Amendment Fra...

Intelligent Proactive Edge Health Monitoring for Resource-Constrained Devices

The rapid expansion of edge computing and the Internet of Things (IoT) has transformed the deployment of intelligent applications by shifting computation from centralized cloud infrastructures to resource-constrained edge devices. Although this paradigm enables low-latency processing, reduced bandwidth consumption, and...

T1DM personalized care insights through machine and deep learning models: A comprehensive survey

Type 1 Diabetes Mellitus (T1DM) is a lifelong condition defined by the immune system's beating on and eradication of the insulin-generating beta cells within the pancreas. The reasoning for this review is that it not only synthesizes an existing finding, but also provides a practical implication for how ML, and DL, can...