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Henri Pörhö, Jani Tomperi, Aki Sorsa, Esko Juuso, Jari Ruuska and Mika Ruusunen
The aim of wastewater treatment plants (WWTPs) is to clean wastewater before it is discharged into the environment. Real-time monitoring and control will become more essential as the regulations for effluent discharges are likely to become stricter in th...
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Giacomo Bergami, Samuel Appleby and Graham Morgan
Current specification mining algorithms for temporal data rely on exhaustive search approaches, which become detrimental in real data settings where a plethora of distinct temporal behaviours are recorded over prolonged observations. This paper proposes ...
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Vladislav T. Todorov, Dmitry Rakov and Andreas Bardenhagen
The search for a rational design subspace of aircraft configurations can be addressed by using the advanced morphological approach (AMA). It allows the decomposition of design problems into functional and/or characteristic attributes and their technologi...
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Senhao Zhao, Hang Hu, Yangchao Huang, Guobing Cheng, Tao Huang, Huizhu Han and Qi An
Unmanned aerial vehicles (UAVs) are considered an important component of 6G wireless technology. However, there are many challenges to the employment of UAVs, one of which is spectrum scarcity. To address this challenge, non-orthogonal multiple access (N...
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Vladislav T. Todorov, Dmitry Rakov and Andreas Bardenhagen
Disruptive technologies and novel aircraft generations represent a potential approach to address the ambitious emission reduction goals in aviation. However, the introduction of innovative concepts is a time-consuming process, which might not necessarily...
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Luis Alberto Martínez Hernández, Ana Lucila Sandoval Orozco and Luis Javier García Villalba
Due to the advancement of technology, cybercrime has increased considerably, making digital forensics essential for any organisation. One of the most critical challenges is to analyse and classify the information on devices, identifying the relevant and ...
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Juan M. Lujano-Rojas, Rodolfo Dufo-López, Jesús Sergio Artal-Sevil and Eduardo García-Paricio
Assessing the training process of artificial neural networks (ANNs) is vital for enhancing their performance and broadening their applicability. This paper employs the Monte Carlo simulation (MCS) technique, integrated with a stopping criterion, to const...
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Rongyan Zhou, Jianfeng Chen, Weijie Tan and Chang Cai
This paper investigates a sensor selection scheme for optimal target localization with three-dimensional (3-D) Angle of Arrival (AOA) estimation in Underwater Wireless Sensor Networks (UWSN). Specifically, we present a new 3-D AOA-based localization meas...
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André Lanrezac, Benoist Laurent, Hubert Santuz, Nicolas Férey and Marc Baaden
(1) Background: We developed an algorithm to perform interactive molecular simulations (IMS) of protein alignment in membranes, allowing on-the-fly monitoring and manipulation of such molecular systems at various scales. (2) Methods: UnityMol, an advance...
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Negar Orangi-Fard, Alireza Akhbardeh and Hersh Sagreiya
Predicting ICU readmission risk will help physicians make decisions regarding discharge. We used discharge summaries to predict ICU 30-day readmission risk using text mining and machine learning (ML) with data from the Medical Information Mart for Intens...
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