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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25Cited by 0

Design and Development of AI-Assisted UAV for Smart Campus Crowd Analytics and Anomaly Detection

Sam Philip, Pandian P

Abstract: This paper focuses on a self-sufficient UAV-supported monitoring system that can be used to improve smart campus security through real-time crowd analytics and anomaly detection. The system combines a quadrotor drone with a Pixhawk flight controller, a u-blox M10 GPS module, and a stabilized HD camera with the YOLOv8 deep learning model for human detection. It detects unusual activities such as crowd rushes, unauthorized presence, and abnormal dispersion. GPS-based geofencing is used to control patrols within specific areas, while aerial video is streamed to an edge AI processing unit. In trials, over 92% detection accuracy was achieved with highly responsive alerts. The system is modular, scalable, and adaptable to other enclosed environments, providing proactive situational awareness.

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

AI-Assisted Immersive Discovery of Viability

Serhii Hostiunin

immersive discovery of viability as a new direction in the development of intelligent scientific environments within the framework of Vitology. The proposed approach combines immersive technologies, artificial intelligence, digital twins, interactive simulation, multidimensional…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-23Cited by 2

The Warranty Axis: How Publishers Govern the Human-Reserved Core of AI-Assisted Authorship

K. Yamada

A companion study to a prior analysis of publisher generative-AI policies found that major publishers converge on reserving a set of functions for human authors: verification, evidential judgment, interpretation, final approval, responsibility for correction, and legal and ethica…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

Show Your Work: From Disclosing AI Use to Demonstrating Rigour. A Worked Case and a Contributor-Role Standard for AI-Assisted Scholarship

Johan Locke

Background. Publishing has settled on one answer to generative AI: an AI cannot be an author, and its use must be disclosed. Problem. Disclosure asks the wrong question. A statement that AI was used cannot be falsified in either direction, and a large recent study suggests it is…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

Code and Data: Digital-Twin-Gated, Post-Quantum-Secured Recovery for AI-Driven Anomaly Detection in the Internet of Medical Things

GNANA PRASUNA VATTIPALLI

Code and result data accompanying a manuscript on AI-driven anomaly detection and post-quantum-secured recovery for the Internet of Medical Things (IoMT), currently under peer review. Includes the leakage-audited anomaly detector, the digital-twin-gated recovery simulation with c…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-23

The Process Is the Product: A Human-Directed, Multi-Model Adversarial Workflow for Trustworthy AI-Assisted Research

Dan Lee-Odinson

This paper reports a single-operator case study in directing several artificial-intelligence systems through a disciplined research and software-development process, and argues a narrow thesis: that the process—the documented, reproducible, accountable workflow—is a product in it…

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