edge computing

Geometrically Thin Sub-Eddington Active Galactic Nuclei Accretion Disks Show a Suppressed Lyman Edge

Abstract The observed UV continua of active galactic nuclei (AGN) generally lack a strong intrinsic H I Lyman edge predicted by classical optically thick accretion disk atmosphere models. We revisit this long-standing problem using our previous sub-Eddington ( L / L Edd ∼ 0.03) geometrically thin 3D accretion disk simu...

The Quantum Superposition Project Scheduling and Critical Path

The Quantum Superposition Project Scheduling and Critical Path represents a cutting-edge methodological and operational challenge in advanced technology project management, arising from the fundamental transition toward quantum computing environments. In traditional deterministic and even probabilistic project manageme...

Strategies for maintaining efficiency of edge services

Cloud-centric systems face challenges in meeting the requirements of real-time Internet of Things (IoT) applications. IoT applications are integrated with Artificial Intelligence to facilitate real-time analytics. An Edge computing paradigm is established that improves the performance of applications in a decentralised...

Cybersecurity in Edge Computing: A Trust-Aware Federated Hybrid Intrusion Detection Framework

On designing structure-aware high-performance graph algorithms

Graph algorithms find several usages in industry, science, humanities, and technology. The fast-growing size of graph datasets in the context of the processing model of the current hardware has resulted in different bottlenecks such as memory locality, work-efficiency, and load-balance that degrade the performance. To...

LA-CTO: Layer-aware task offloading and resource allocation in containerized edge computing

Deep Defender: An Adaptive Edge Cloud Framework for Intelligent DDoS Detection, Deception, and Tracking

Cloud computing environments are increasingly vulnerable to Distributed Denial-of-Service (DDoS) attacks and sophisticated cyber intrusions that compromise service availability, scalability, and operational security. In this research, we have developed a resilient cloud-based intrusion detection framework using a hybri...

Bounded Kan Composition, Clifford Stalk Closures, and Invariant-Driven Cell Rewriting in Topological and Geometric Native Coding for Higher Dimensional Programming Languages

For over seven decades, computer architecture has operated under a single, unstated dogma: that physical space, continuous motion, field mechanics, and multi-agent coordination must be forcibly flattened into the unoriented, one-dimensional byte array of the von Neumann machine. While this linear abstraction democratiz...

Trained models and predictions for "Compact sensor-aided millimeter-wave beam prediction runs in real time on low-cost edge hardware"

Trained models, per-sample test predictions and analysis outputs for the revised article "Compact sensor-aided millimeter-wave beam prediction runs in real time on low-cost edge hardware" (Scientific Reports, under revision). Code: https://github.com/himansh24dev/compute-efficient-beam-prediction (branch "revision").Da...

Bounded Kan Composition, Clifford Stalk Closures, and Invariant-Driven Cell Rewriting in Topological and Geometric Native Coding for Higher Dimensional Programming Languages

For over seven decades, computer architecture has operated under a single, unstated dogma: that physical space, continuous motion, field mechanics, and multi-agent coordination must be forcibly flattened into the unoriented, one-dimensional byte array of the von Neumann machine. While this linear abstraction democratiz...

EMAP-SSN: Embedding- and Multiple-Alignment-integrated Protein Sequence Similarity Network Platform

EMAP-SSN v0.3.0 EMAP-SSN v0.3.0 adds 3D layout generation with reproducible seeds and an optional VR viewer, protein-property metadata computed from the input FASTA, and residue-level alignment inspection over MCP. It installs ESM and Transformers from PyPI instead of bundling wheels, moves the managed environment to P...

Future Trends of AI, Big Data and Digital Business Transformation

Artificial intelligence (AI) and big data analytics have moved from specialised technical functions to the core of how organizations compete, create value and organise work. This concluding chapter looks ahead. It examines the technological, organizational, regulatory and societal trends that are likely to shape the ne...