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· Zenodo (CERN European Organi...· 0 citations
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· Zenodo (CERN European Organi...· 0 citations
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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.· AQUA - Water Infrastructure...· 0 citations
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· British Journal of Contempor...· 0 citations
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· Future Generation Computer S...· 0 citations
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.· Information Security Journal...· 0 citations
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...
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.
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· Zenodo (CERN European Organi...· 0 citations
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· Zenodo (CERN European Organi...· 0 citations
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· microsoft.comOct 15, 2026
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
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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