edge computing

An Honest Effect Size for Contingency Tables: Why Nothing Can Be Unbiased, Where to Put the Error Instead, and How to Route the Report (m0f)

An Honest Effect Size for Contingency Tables: Why Nothing Can Be Unbiased, Where to Put the Error Instead, and How to Route the Report 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 ver...

SpikeGate: An Event-Driven Neuromorphic SNN Gatekeeper for Duty-Cycled On-Device SLM Inference

Probabilistic Disaggregation of Behind-the-Meter PV Systems Using Conformal Prediction

Disaggregating solar photovoltaics (PV) profiles from smart electricity meter data has attracted attention, as Distribution System Operators (DSOs) need street-level PV generation profiles to improve grid operations and planning. Given the importance of reliability in operational decisions, probabilistic results are pr...

Physically implemented analog in-memory distance computing with InGaZnO transistor-based capacitive unit

Modern edge devices increasingly require real-time adaptation to their environment without relying on cloud-based updates, which can introduce latency and security risks. To meet these demands, memory-augmented neural networks (MANNs) have gained traction for enabling adaptive on-device learning. Hardware implementatio...

Joint Optimization of Memory and Computing Frequency for Energy-Efficient DNN Inference

The impact of memory frequency and computing frequency on DNN inference time is considered, and a low-complexity heuristic algorithm is proposed to effectively solve the overall problem with polynomial time complexity.

UVirtio: Enabling Ubiquitous Resource Sharing for RISC-V Industrial Edge Devices

UVirtio introduces a device-profile-based virtual hardware abstraction layer that minimizes performance overhead, and implements a live migration mechanism using differential packing, providing a scalable and agile virtualization solution for the ubiquitous computing frontier.

Beat the Counter First: A Baseline for Temporal-Graph Anomaly Detectors

SimpleCount is proposed, a reference with no parameter fitting that selects one scalar feature per dataset from a fixed pool of counts, recencies, first-occurrence indicators, and count-derived transforms that matches or exceeds SLADE on three of six datasets and exceeds IsoForest on all six.

Design And Implementation Of An ADC/DAC-Free Walsh-Hadamard Transform Based Neural Network Accelerator Using Bit-Plane Processing

An ADC/DAC-free neural accelerator based on the Walsh-Hadamard Transform and bit-plane processing that offers a multiplier-free, converter-free, regular, and scalable solution for low-power edge intelligence.

Construction and application of a platform for on-site detection data perception, analysis, and intelligent decision-making of fluids and materials entering the well

With the transformation of unconventional oil and gas resource development towards digitalization and intelligence, massive, multi-source, and dynamic well-entry fluid and material detection data have become core assets driving engineering decision-making. Traditional digital platforms aimed at process onlineization ha...

A Green AI Based Approach to Optimizing Machine Learning Models for Sustainable Computing

A Green AI–driven framework is presented for optimizing machine learning models with the goal of supporting sustainable computing and offers a practical and reproducible solution for deploying energy-efficient machine learning models across both cloud and edge environments.

IDENTIFICATION OF REGIONAL TECTONIC STRUCTURES OF CAMEROON VOLCANIC LINE USING GRAVIMAGNETIC AND 2D LAPLACIAN TERRAIN ANALYSIS TECHNIQUES

Cameroon is made up of an extensive tectonic system that includes a geologically significant structure in Central Africa called the Cameroon Volcanic Line (CVL). In this study, a multi-phase approach was applied to identify new tectonic structures across the CVL using gravity data from the XGM2019e_2159 model, magnetic...

A simple current-controlled second-order memristor model and its third neuronal circuit implementation

This paper proposes a simple current-controlled second-order LAM mathematical model, which exhibits both negative differential resistance edge of chaos (EOC) domains and positive differential resistance (PDR) EOC domains, and constructs a minimalist third-order neuronal circuit by simply paralleling the LAM with a capa...