Hybrid deep learning for object detection in drone imagery: a new metaheuristic based model

Ajith, V. S.; G, Jolly K

doi:10.1007/s11042-023-15785-0

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2024

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Cited by 3 publications

References 30 publications

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An Improved Snow Ablation Optimizer for Stabilizing the Artificial Neural Network

Maddaiah,

Narayanan

2024

Lecture Notes in Networks and Systems

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An Improved Snow Ablation Optimizer for Stabilizing the Artificial Neural Network

Maddaiah,

Narayanan

2024

Lecture Notes in Networks and Systems

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Performability Modeling and Analysis for Real-Time Object Detection on UAV Systems

Zhang,

Machida,

Andrade

2024

2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)

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Drone-Based Localization of Hazardous Chemicals by Passive Smart Dust

Nerger,

Neumann,

Weller

2024

Sensors

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The distribution of tiny sensors over a specific area was first proposed in the late 1990s as a concept known as smart dust. Several efforts focused primarily on computing and networking capabilities, but quickly ran into problems related to power supply, cost, data transmission, and environmental pollution. To overcome these limitations, we propose using paper-based (confetti-like) chemosensors that exploit the inherent selectivity of chemical reagents, such as colorimetric indicators. In this work, cheap and biodegradable passive sensors made from cellulose could successfully indicate the presence of hazardous chemicals, e.g., strong acids, by a significant color change. A conventional color digital camera attached to a drone could easily detect this from a safe distance. The collected data were processed to define the hazardous area. Our work presents a combination of the smart dust concept, chemosensing, paper-based sensor technology, and low-cost drones for flexible, sensitive, economical, and rapid detection of hazardous chemicals in high-risk scenarios.

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Hybrid deep learning for object detection in drone imagery: a new metaheuristic based model

Cited by 3 publications

References 30 publications

An Improved Snow Ablation Optimizer for Stabilizing the Artificial Neural Network

An Improved Snow Ablation Optimizer for Stabilizing the Artificial Neural Network

Performability Modeling and Analysis for Real-Time Object Detection on UAV Systems

Drone-Based Localization of Hazardous Chemicals by Passive Smart Dust

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