Executive Overview This consolidated release of Paper X unifies empirical findings, mathematical foundations, and real-world implementation proofs for AuraOS—a local-first, zero-extraction computational architecture designed to eliminate recurring cloud SaaS overhead and API token extraction. By decoupling spatial reco...
Dallas Courchene· Zenodo (CERN European Organi...· 0 citations
Wide-area monitoring systems built on phasor measurement units (PMUs) underpin real-time stability assessment in transmission grids, yet their measurement and communication paths present an attack surface that conventional intrusion detection addresses only partially. Three constraints compound the problem: transmissio...
Divyam Tank, Dr. Sushil Kumar Singh· Zenodo (CERN European Organi...· 0 citations
Wide-area monitoring systems built on phasor measurement units (PMUs) underpin real-time stability assessment in transmission grids, yet their measurement and communication paths present an attack surface that conventional intrusion detection addresses only partially. Three constraints compound the problem: transmissio...
Divyam Tank, Dr. Sushil Kumar Singh· Zenodo (CERN European Organi...· 0 citations
Federated learning---training a shared model across many devices that never surrender their data---inverted machine learning's architecture: instead of data to the model, the model to the data. This article presents a narrative review of that arc's canonical line: Dwork and colleagues' 2006 differential privacy, Dwork...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
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Federated learning---training a shared model across many devices that never surrender their data---inverted machine learning's architecture: instead of data to the model, the model to the data. This article presents a narrative review of that arc's canonical line: Dwork and colleagues' 2006 differential privacy, Dwork...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
Rapid evolution of cyber threats, cloud computing and digital transformation have led to increased need for adaptive and resilient cybersecurity framework. Zero Trust Architecture (ZTA) has been developed as an advanced security model that is designed to overcome limitations of the existing approaches based on perimete...
Loso Judijanto, R. Dewantara· West Science Information Sys...· 0 citations
An engineering-oriented deployment framework is proposed, integrating modality-driven model selection, structured preprocessing pipelines, multi-level clinical validation, computational feasibility assessment, and explainability, together with a clinical deployment readiness model spanning validation maturity, data div...
Enoch Jacob Dodo, Amos Takai Yayock, Gregory Onwodi et al.· Journal of Science Research...· 0 citations
Artificial intelligence (AI) has revolutionized medical imaging with automated disease detection, image segmentation, diagnosis, prognosis prediction, and clinical decision support across various imaging modalities, such as X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, positron emission...
S Sur, Mandal Rakesh Kumar, Chanda Debanil· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) has revolutionized medical imaging with automated disease detection, image segmentation, diagnosis, prognosis prediction, and clinical decision support across various imaging modalities, such as X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, positron emission...
S Sur, Mandal Rakesh Kumar, Chanda Debanil· Zenodo (CERN European Organi...· 0 citations
This survey develops a unified taxonomy that systematically integrates learning paradigms, agent architectures, coordination mechanisms, deployment models, application domains, and evaluation frameworks from a common analytical perspective and provides a structured foundation for future advances in intelligent agent sy...
Elias Dritsas, M. Trigka· Evolutionary Intelligence· 0 citations
AF-EdgeRL is proposed, a novel Byzantine-resilient Asynchronous Federated Reinforcement Learning framework tailored for distributed resource allocation and dynamic task offloading and establishes theoretical convergence guarantees under non-convex reinforcement learning objectives.
Daniel Merrow, Tember L. Nair, Lucas Farnandez· International Journal of App...· 0 citations
Executive Overview This consolidated release of Paper X unifies empirical findings, mathematical foundations, and real-world implementation proofs for AuraOS—a local-first, zero-extraction computational architecture designed to eliminate recurring cloud SaaS overhead and API token extraction. By decoupling spatial reco...
Dallas Courchene· Zenodo (CERN European Organi...· 0 citations
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
