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crossrefSensors2023-04-23Cited by 7

Computer Vision and Machine Learning for Intelligent Sensing Systems

Jing Tian

Intelligent sensing systems have been fueled to make sense of visual sensory data to handle complex and difficult real-world sense-making challenges due to the rapid growth of computer vision and machine learning technologies [...]

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Cocoa is an important commodity crop, not only to produce chocolate, one of the most complex products from the sensory perspective, but one that commonly grows in developing countries close to the tropics. This paper presents novel techniques applied using cover photography and a…

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Adversarial-Aware Deep Learning System Based on a Secondary Classical Machine Learning Verification Approach

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Deep learning models have been used in creating various effective image classification applications. However, they are vulnerable to adversarial attacks that seek to misguide the models into predicting incorrect classes. Our study of major adversarial attack models shows that the…

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Fine-Grained 3D Modeling and Semantic Mapping of Coral Reefs Using Photogrammetric Computer Vision and Machine Learning

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Corals play a crucial role as the primary habitat-building organisms within reef ecosystems, forming expansive structures that extend over vast distances, akin to the way tall buildings define a city’s skyline. However, coral reefs are vulnerable to damage and destruction due to…

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Detecting Machining Defects inside Engine Piston Chamber with Computer Vision and Machine Learning

Marian Marcel Abagiu, Dorian Cojocaru, Florin Manta, Alexandru Mariniuc

This paper describes the implementation of a solution for detecting the machining defects from an engine block, in the piston chamber. The solution was developed for an automotive manufacturer and the main goal of the implementation is the replacement of the visual inspection per…

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