edge computing

Automated cargo recognition and localization system in smart warehousing based on IoT and improved YOLOv8

This paper proposes an automatic identification and positioning system for smart warehouse goods based on the Industrial Internet of Things (IIoT) and an improved YOLOv8 architecture. By introducing a cross-channel attention mechanism into the network and optimizing the intersection-union bounding box constraint matrix...

18. DEVELOPMENTAL BOTTLENECK GENES IN DORSOLATERAL PREFRONTAL CORTEX RISK NETWORKS REVEAL SHARED AND DISORDER-SPECIFIC ARCHITECTURE IN SCHIZOPHRENIA AND BIPOLAR DISORDER

Background Schizophrenia (SCZ) and bipolar disorder (BD) genetic risks are highly polygenic and largely non-coding, suggesting that their effects are mediated through gene regulatory networks. However, most studies rely on static models that fail to capture developmental dynamics. We aimed to identify bottleneck genes...

From 5G smart hospitals to 6G-enabled learning hospitals: a governance-oriented framework for healthcare technology, policy, and responsible deployment.

Objectives Discussion of 6G in healthcare often moves directly from anticipated network capabilities to proposed clinical applications, although application-level evidence, current connectivity alternatives, and 6G-specific evidence differ substantially in maturity. This narrative review develops an evidence-calibrated...

Real-time object detection of robotic welding defects and adaptive parameter tuning based on YOLO

To address the issues of offline flaw detection feedback delay and limited edge deployment of complex vision models in continuous welding scenarios using industrial robots, this paper proposes a defect perception and adaptive electrical parameter control algorithm based on lightweight multi-scale feature reconstruction...

fracpll: charge-pump fractional-N PLL design from measured pieces

0.2.0 reported that, with a delta-sigma divider, the edge-level loop shows in-band noise that the exact linear sampled-data model misses, even with perfectly matched pumps, and that its mechanism was not identified. 0.3.0 identifies it, computes it and tests it. The mechanism A PFD/charge-pump pulse is a rectangle of c...

Six Methodological Pitfalls in YouTube Comment Extraction: What an interface constraint does to a research corpus

If your study uses YouTube reply structure — who answers whom, how deep a thread runs, which turn follows which — this paper shows where that structure is not what it seems, and gives a check for each problem that runs in minutes on any comment corpus. Nine diagnostics, a documented mention-resolution rule and the scri...

What Cambridge Analytica Taught Us in 2018 — and What We Have Ignored Ever Since

Cambridge Analytica 2.0: When the AI Assistant Becomes the Intelligence Graph of a Billion Dollar Company If capable AI can accelerate cyberattacks, what happens after an attacker gains control of the AI system that already sees the enterprise? Artificial intelligence is increasingly becoming useful not only for coding...

THE SHAPE OF MEANING: Lossless Integer Encoding of Natural Language and the Machine-Verified Topology of Knowledge

A Fourteen-Cycle Construction Mapping English to Prime-Addressed Integer Space, with Betti-Number Invariants of the Language Manifold Formally Proved in Lean 4. What if a word were not a vector of learned weights, but an exact address in the integers — and what if the shape of a language could be measured, counted, and...

toyomacro: X-ray photoelectron spectroscopy analysis toolkit

Can a Fermi edge tell the instrumental resolution from the temperature at all? Usually not, and this release makes that answerable before the fit rather than arguable after it. fitting.fermi_edge_identifiability (experimental) The instrumental variance v and the thermal scale tau = (kT)^2 enter the edge width as kappa_...

Energy-Efficient Deep Neural Networks for Sustainable and Intelligent Edge Computing

Optimizing x-ray based multimodal imaging: investigating dose dependency and modulation of fluorescence emission from GdF 3 nanoparticles doped with terbium using spectral photon counting CT

Abstract Objective. Spectral photon counting computed tomography (SPCCT) represents a major advancement in diagnostic imaging, with the potential to significantly enhance image contrast and resolution by leveraging photon-counting detectors. The integration of high atomic number nanoparticles (NPs), such as gadolinium...

A Quantum‐Inspired Entropy‐Preserving Hybrid Metaheuristic for Efficient Workflow Scheduling in Heterogeneous Cloud–Fog Systems

ABSTRACT Cloud–fog computing has emerged as a promising paradigm for supporting latency‐sensitive and large‐scale scientific workflows by integrating edge‐level fog nodes with centralized cloud resources. However, efficient workflow scheduling in heterogeneous cloud–fog environments remains a challenging multiobjective...