edge computing

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...

FHAT Technical Note 022: Field Validation of the Flash Liquidity Vacuum Protocol (Rule FP-IV-A) under the Quad-Clock Architecture: A Multi-Broker, Cross-Asset Field Study on Post-Market Liquidity Dislocation in Leveraged Semiconductor ETFs

This technical note documents the empirical field validation of the Flash Liquidity Vacuum Protocol (FLVP; Rule FP-IV-A) under the Quad-Clock Event Architecture during the September 30, 2026 trading session. Focusing on high-impact exogenous shock windows—specifically the 16:00 EDT mega-cap earnings release (Micron / M...

A Zero-Shot Multi-Scope Life Cycle Assessment Framework for Machine Learning: Unifying Carbon, Water, and Network Footprints

Machine learning workloads now consume a significant and increasing percentage of global data centers energy. To overcome this problem, researchers and developers of new AI applications and pipelines are forced to use post hoc techniques and approaches to power telemetry to measure the actual power consumption during m...

Edge-deployable greenhouse tomato cluster harvesting robot integrating YOLOv8n-BiFPN-WIoU and ROS-based autonomous control

To develop an edge-deployable greenhouse tomato cluster harvesting robot capable of accurate fruit detection, three-dimensional localization, autonomous navigation, and robotic harvesting under complex greenhouse conditions. The objective was to improve detection performance under fruit occlusion and variable illum...