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Sensitivity analysis of LSTM networks for fall detection wearable sensors
Falling detection concerns identifying and alerting when a person falls or experiences a
sudden loss of balance. It is an important safety feature, particularly for elderly or vulnerable …
sudden loss of balance. It is an important safety feature, particularly for elderly or vulnerable …
[HTML][HTML] Vineyard gap detection by convolutional neural networks fed by multi-spectral images
This paper focuses on the gaps that occur inside plantations; these gaps, although not
having anything growing in them, still happen to be watered. This action ends up wasting …
having anything growing in them, still happen to be watered. This action ends up wasting …
LSTM-based trajectory and phase-shift prediction for RSMA networks assisted by AIRS
This paper investigates rate-splitting multiple access (RSMA) networks with multiusers
assisted by aerial intelligent reflecting surfaces (AIRS). To improve the sum-rate of the …
assisted by aerial intelligent reflecting surfaces (AIRS). To improve the sum-rate of the …
UAV-based scenario builder and physical testing platform for autonomous vehicles
A Chilkunda, S Nakama, V Chilkunda… - 2023 6th Conference …, 2023 - ieeexplore.ieee.org
Autonomous Vehicles (AVs) offer the promise of a road environment without accidents,
much less congestion and a dramatic reduction in car emissions. In order for this vision to …
much less congestion and a dramatic reduction in car emissions. In order for this vision to …
A hybrid lstm-based neural network for satellite-less UAV navigation
This work proposes a new algorithm to address the problem of unmanned aerial vehicle
(UAV) navigation in satellite-less environments by combining machine learning with existent …
(UAV) navigation in satellite-less environments by combining machine learning with existent …
UAV flight test and its endurance degradation modelling by considering the energy efficiency and flight stability factors
J Wang, S Govind, X Hu… - 2023 IEEE/AIAA 42nd …, 2023 - ieeexplore.ieee.org
This study presents a novel method for UAV degradation modeling based on real-world
flight data, emphasizing the introduced factors of flight energy efficiency and flight operating …
flight data, emphasizing the introduced factors of flight energy efficiency and flight operating …
Ripening assessment classification using artificial intelligence algorithms with electrochemical impedance spectroscopy data
The increasingly growth of the world's population requires more efficient efforts to manage
people's needs. One important problem lies on food distribution, quality and sustainability …
people's needs. One important problem lies on food distribution, quality and sustainability …
Convolutional Neural Networks for Autonomous UAV Navigation in GPS-Denied Environments
This work addresses the challenge of autonomous Unmanned Aerial Vehicle (UAV)
navigation in Global Positioning System (GPS)-denied environments by proposing a new …
navigation in Global Positioning System (GPS)-denied environments by proposing a new …
Horses Identification Through Deep Learning Algorithms
In many horse-related events, such as competitions, auctions, international travel, or do**
control, the need to determine the identity of all horses involved is a must to ensure …
control, the need to determine the identity of all horses involved is a must to ensure …
QiBERT-Classifying Online Conversations: Messages with BERT as a Feature
Recent developments in online communication and their usage in everyday life have
caused an explosion in the amount of a new genre of text data, short text. Thus, the need to …
caused an explosion in the amount of a new genre of text data, short text. Thus, the need to …