Graph Signal Variation Detection: A novel approach for identifying and reconstructing ship AIS tangled trajectories

C Deng, S Wang, J Liu, H Li, B Chu - Ocean Engineering, 2023 - Elsevier
Tangles are a common anomaly in Automatic Identification System (AIS) data, resulting from
disorder in time sequences. They increase the spatial complexity of trajectories, making …

The influence of vacation home rentals on neighborhood crime and disorder

D Reinhard - American journal of criminal justice, 2023 - Springer
This study examines the association between vacation home rentals (VHR) and residential
burglary, disturbances, and substance crimes from social disorganization and routine activity …

Fast 50 Hz Updated Static Infrared Positioning System Based on Triangulation Method

M Ciężkowski, R Kociszewski - Sensors, 2024 - mdpi.com
One of the important issues being explored in Industry 4.0 is collaborative mobile robots.
This collaboration requires precise navigation systems, especially indoor navigation …

IoT-Based Obstacle Avoidance and Navigation for UGVs in Wooded Environments Using Adaptive Fuzzy Artificial Potential Field

CJ Lin, BH Chen, JY Jhang - Internet of Things, 2025 - Elsevier
Abstract Internet of Things (IoT) applications are increasingly popular, but data collection
can be challenging. Unmanned ground vehicles (UGVs) are a practical solution, but …

Sensor optimization for altitude estimation of spraying drones in vineyards

T Severin, D Söffker - IFAC-PapersOnLine, 2022 - Elsevier
Current drones find a variety of applications, including in viticulture. The application of
pesticides in steep slope viticulture is necessary to control pathogens. Due to the …

360-degree image classification and viewport prediction using deep neural networks

SS Drisya, A Mahapatra, S Priyadharshini - Advances in Distributed …, 2022 - Springer
The growing popularity of 360-degree (360D) content demands for comfortable content
consumption by the end users. A 360D image/video captures it surrounding and provides …

Trilateration-based indoor localization utilizing the matrix completion method by probabilistic matrix factorization and stochastic gradient

MN Alam, R Haider, IH Pipul, F ul Haque - International Journal of …, 2024 - Springer
This research presents an enhanced indoor positioning system using Received Signal
Strength Indicator (RSSI) values and probabilistic matrix factorization within a classroom …

Machine learning empowered prediction of geolocation using groundwater quality variables over YSR district of India

JK Mogaraju - Turkish Journal of Engineering, 2024 - dergipark.org.tr
Machine Learning (ML) has been used in the prediction of geolocation with improved
accuracies in this work. The pre-processed data was subjected to prediction analytics using …

Cell Tower Localisation using Graph Convolutional Networks and Positional Encoding

J Banerjee, S Goel, S Soman, R Mangal… - Proceedings of the 7th …, 2024 - dl.acm.org
Capacity planning and monitoring solutions require accurate estimation of nearby cellular
tower location. Currently available techniques use war-driving or crowdsourced datasets to …

[PDF][PDF] Determining the Location of Objects Using aVision-System Sensor and CPM

S Lobo, E Fernández, C Facchi - Simpósio Brasileiro de …, 2020 - biblioteca.sbrt.org.br
Vehicular Ad Hoc Networks (VANETs) are expected to be the next big step towards safer
road transport, supporting applications to exchange information between vehicles according …