output
20142026
most citedA Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management

131 citations

10 papers

cs.HC2026

Revising Bloom's Taxonomy for Dual-Mode Cognition in Human-AI Systems: The Augmented Cognition Framework

Kayode P. Ayodele, Enoruwa Obayiuwana, Aderonke R. Lawal +3

As artificial intelligence (AI) models become routinely integrated into knowledge work, cognitive acts increasingly occur in two distinct modes: individually, using biological reso…

cs.RO2024★ 4 cited

Safety Verification for Evasive Collision Avoidance in Autonomous Vehicles with Enhanced Resolutions

Aliasghar Arab, Milad Khaleghi, Alireza Partovi +5

This paper presents a comprehensive hazard analysis, risk assessment, and loss evaluation for an Evasive Minimum Risk Maneuvering (EMRM) system designed for autonomous vehicles. Th…

cs.SE2023★ 4 cited

Investigate how developers and managers view security design in software

Asif Imran

Software security requirements have been traditionally considered as a non-functional attribute of the software. However, as more software started to provide services online, exist…

cs.AI2022★ 84 cited

Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses

Adnan Qayyum, Muhammad Atif Butt, Hassan Ali +6

Metaverse is expected to emerge as a new paradigm for the next-generation Internet, providing fully immersive and personalised experiences to socialize, work, and play in self-sust…

cs.RO2021★ 6 cited

A low-cost wave-solar powered Unmanned Surface Vehicle

Moustafa Elkolali, Ahmed Al-Tawil, Lennard Much +7

This paper presents a prototype of a low-cost Unmanned Surface Vehicle (USV) that is operated by wave and solar energy which can be used to minimize the cost of ocean data collecti…

cs.CV2020★ 95 cited

Optimized Deep Encoder-Decoder Methods for Crack Segmentation

Jacob König, Mark Jenkins, Mike Mannion +2

Surface crack segmentation poses a challenging computer vision task as background, shape, colour and size of cracks vary. In this work we propose optimized deep encoder-decoder met…