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edge computing

2,751 papers

#edge computing Open access Oct 2026

From Probabilistic Cloud to Pycloud — A Control-Layer Language for Quantum Computing and Hardware Validation

Probabilistic cloud state machine (PCSM) theory [1] formalises the classical control layer of quantum computation as a geometric model on the space of stable probability distributions. This paper reports the implementation path from that theory to a usable Python programming interface, together with hardware-validation...

kaifa chen · 0 citations
#edge computing Open access Oct 2026

Deep Learning-Based Face Recognition Using Convolutional Neural Networks: A Comparative Analysis with Real-Time Application

This paper presents a comparative study of deep learning-based face recognition using Convolutional Neural Networks (CNNs) and traditional machine learning approaches. The proposed system is designed to improve facial recognition accuracy while supporting real-time applications. The study evaluates a CNN architecture a...

Rudra Akhauri · 0 citations
#edge computing Oct 2026

Demand-weighted edge betweenness centrality for identifying critical pipes in water distribution networks

ABSTRACT Graphical abstract summarising the DWEBC workflow: a WDN is converted to a weighted graph; EPANET hydraulic outputs and demand data are used to compute DWEBC; and high-ranking pipes support resilience screening, maintenance prioritisation, and digital-twin decision-making. Water distribution networks (WDNs) su...

Rodger Millar Munthali, Jinliang Gao, Wenyan Wu et al. · 0 citations
#federated learning Open access Oct 2026

IoT-Based Early Detection of Chronic Diseases Using Machine Learning

Chronic diseases, including cardiovascular disease, diabetes, chronic respiratory disease, and cancer, remain major causes of morbidity and premature mortality worldwide.The increasing availability of Internet of Things (IoT) devices, wearable sensors, smart phones, and remote monitoring platforms provides an opportuni...

Mubarak Jibril Yeldu, Anas Muhammad Gulumbe · 0 citations
#edge computing Open access Oct 2026

Towards Net-Zero clouds: An SLA-aware, carbon-optimized, and hybrid resource management technique

Cloud Data Centres (CDCs) constitute the foundation of digital services, but they are also a major source of carbon emissions and energy demand worldwide. In order to achieve net-zero infrastructures, environmental sustainability, energy efficiency, and service quality, in terms of Service Level Agreements (SLAs), assu...

Muhammad Zakarya, Ayaz Ali Khan · 0 citations
#edge computing Review Oct 2026

Privacy preserving cloud data security using blockchain-based public key infrastructure: A systematic review

Cloud computing has become fundamental to modern digital services, with Public Key Infrastructure (PKI) serving as the primary mechanism for authentication, certificate management, and secure communication. However, conventional centralized PKI introduces challenges such as single points of failure, certificate revocat...

D. Dhinakaran, M. S. Jasmine, S. Gopalakrishnan et al. · 0 citations
#edge computing Open access Oct 2026

Pelvis-Based Three-Dimensional Hip Morphology in Japanese Women: Reference Distributions and Spatial Relationships of Femoral Head Position, Acetabular Orientation, and Coverage

Background: Conventional radiographic assessment of the hip primarily describes coronal acetabular coverage and does not fully characterize the three-dimensional spatial relationship among the pelvis, femoral head, and acetabulum.This study aimed to establish a pelvis-based three-dimensional morphometric reference fram...

Nozomi Murakami, Ryoichi Izumida, Shojiro Katoh et al. · 0 citations
#edge computing Open access Oct 2026

Also of Interest

By integrating classical mathematical foundations with cutting-edge machine learning and high-performance computing, this definitive guide provides the complete toolkit needed to translate complex fluid mechanics and epidemiological theory into actionable, real-world solutions.

Mamta Kapoor, Geeta Arora · 0 citations
#edge computing Open access Oct 2026

A Lightweight Edge-Computing Framework for IoT Attack Detection Under Resource Constraints

This preliminary research investigates machine learning approaches for detecting IoT network attacks under resource constraints, focusing on distinguishing benign traffic from UDP flood attack traffic. The study evaluates Decision Tree, Logistic Regression, and Random Forest classifiers using network traffic data. It a...

Mohamed Hassan Ali Alamin · 0 citations
#edge computing Open access Oct 2026

(Short Paper18) Verification Mechanism and System Errors of REM Sleep in the In Vivo Analog Quantum Synchronizer (Bio QPU) Paradigm: Quantum Informatic Formulation of Dreams, Sleep Paralysis, and Cellular Carcinogenesis Based on Phase Noise Rejection and Selective Decoherence

Despite the skeletal muscles being relaxed by the action of the sleep center, the phenomenon of “REM sleep,” in which only the eyeballs move violently, has been interpreted in conventional neuroscience as the leakage of random activity accompanying memory consolidation, etc. However, overcoming the metaphor of viewing...

kotoan.gg · 0 citations

From tech blogs

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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.

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

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