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crossrefSensors2024-08-06Cited by 20

Review of Methods for Automatic Plastic Detection in Water Areas Using Satellite Images and Machine Learning

Aleksandr Danilov, Elizaveta Serdiukova

Ocean plastic pollution is one of the global environmental problems of our time. “Rubbish islands” formed in the ocean are increasing every year, damaging the marine ecosystem. In order to effectively address this type of pollution, it is necessary to accurately and quickly identify the sources of plastic entering the ocean, identify where it is accumulating, and track the dynamics of waste movement. To this end, remote sensing methods using satellite imagery and aerial photographs from unmanned aerial vehicles are a reliable source of data. Modern machine learning technologies make it possible to automate the detection of floating plastics. This review presents the main projects and research aimed at solving the “plastic” problem. The main data acquisition techniques and the most effective deep learning algorithms are described, various limitations of working with space images are analyzed, and ways to eliminate such shortcomings are proposed.

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crossrefSensors2023-06-22Cited by 5

Multi-Layered Filtration Framework for Efficient Detection of Network Attacks Using Machine Learning

Muhammad Arsalan Paracha, Muhammad Sadiq, Junwei Liang, Muhammad Hanif Durad, Muhammad Sheeraz

The advancements and reliance on digital data necessitates dependence on information technology. The growing amount of digital data and their availability over the Internet have given rise to the problem of information security. With the increase in connectivity among devices and…

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crossrefSensors2021-11-30Cited by 36

Vision-Based Driver’s Cognitive Load Classification Considering Eye Movement Using Machine Learning and Deep Learning

Hamidur Rahman, Mobyen Uddin Ahmed, Shaibal Barua, Peter Funk, Shahina Begum

Due to the advancement of science and technology, modern cars are highly technical, more activity occurs inside the car and driving is faster; however, statistics show that the number of road fatalities have increased in recent years because of drivers’ unsafe behaviors. Therefor…

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crossrefSensors2023-06-14Cited by 9

Machine-Learning Methods for Speech and Handwriting Detection Using Neural Signals: A Review

Ovishake Sen, Anna M. Sheehan, Pranay R. Raman, Kabir S. Khara, Adam Khalifa, Baibhab Chatterjee

Brain–Computer Interfaces (BCIs) have become increasingly popular in recent years due to their potential applications in diverse fields, ranging from the medical sector (people with motor and/or communication disabilities), cognitive training, gaming, and Augmented Reality/Virtua…

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crossrefSensors2023-08-10Cited by 46

Fire Detection and Notification Method in Ship Areas Using Deep Learning and Computer Vision Approaches

Kuldoshbay Avazov, Muhammad Kafeel Jamil, Bahodir Muminov, Akmalbek Bobomirzaevich Abdusalomov, Young-Im Cho

Fire incidents occurring onboard ships cause significant consequences that result in substantial effects. Fires on ships can have extensive and severe wide-ranging impacts on matters such as the safety of the crew, cargo, the environment, finances, reputation, etc. Therefore, tim…

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crossrefSensors2024-08-16Cited by 10

Comparison of the Accuracy of Ground Reaction Force Component Estimation between Supervised Machine Learning and Deep Learning Methods Using Pressure Insoles

Amal Kammoun, Philippe Ravier, Olivier Buttelli

The three Ground Reaction Force (GRF) components can be estimated using pressure insole sensors. In this paper, we compare the accuracy of estimating GRF components for both feet using six methods: three Deep Learning (DL) methods (Artificial Neural Network, Long Short-Term Memor…

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crossrefSensors2020-06-24Cited by 16

A Vision-Based Machine Learning Method for Barrier Access Control Using Vehicle License Plate Authentication

Kh Tohidul Islam, Ram Gopal Raj, Syed Mohammed Shamsul Islam, Sudanthi Wijewickrema, Md Sazzad Hossain, Tayla Razmovski, et al.

Automatic vehicle license plate recognition is an essential part of intelligent vehicle access control and monitoring systems. With the increasing number of vehicles, it is important that an effective real-time system for automated license plate recognition is developed. Computer…

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