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Morhaf Aljber, Han Soo Lee, Jae-Soon Jeong and Jonathan Salar Cabrera
In tsunami studies, understanding the intricate dynamics in the swash area, characterised by the shoaling effect, remains a challenge. In this study, we employed the adaptive mesh refinement (AMR) method to model tsunami inundation and propagation in the...
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Darin Majnaric, Sandi Baressi ?egota, Nikola Andelic and Jerolim Andric
One of the main problems in the application of machine learning techniques is the need for large amounts of data necessary to obtain a well-generalizing model. This is exacerbated for studies in which it is not possible to access large amounts of data?fo...
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Ye Xiao, Yupeng Hu, Jizhao Liu, Yi Xiao and Qianzhen Liu
Ship trajectory prediction is essential for ensuring safe route planning and to have advanced warning of the dangers at sea. With the development of deep learning, most of the current research has explored advanced prediction methods based on historical ...
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Eugenia I. Toki, Jenny Pange, Giorgos Tatsis, Konstantinos Plachouras and Ioannis G. Tsoulos
Autism Spectrum Disorder is known to cause difficulties in social interaction and communication, as well as repetitive patterns of behavior, interests, or hobbies. These challenges can significantly affect the individual?s daily life. Therefore, it is cr...
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Khaled Arbateni and Amir Benzaoui
Electrocardiography (ECG) is a simple and safe tool for detecting heart conditions. Despite the diaspora of existing heartbeat classifiers, improvements such as real-time heartbeat identification and patient-independent classification persist. Reservoir ...
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Chintan M. Bhatt, Parth Patel, Tarang Ghetia and Pier Luigi Mazzeo
The diagnosis and prognosis of cardiovascular disease are crucial medical tasks to ensure correct classification, which helps cardiologists provide proper treatment to the patient. Machine learning applications in the medical niche have increased as they...
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Francesco Granata, Fabio Di Nunno, Mohammad Najafzadeh and Ibrahim Demir
A trustworthy assessment of soil moisture content plays a significant role in irrigation planning and in controlling various natural disasters such as floods, landslides, and droughts. Various machine learning models (MLMs) have been used to increase the...
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Ishaani Priyadarshini
Autism spectrum disorder (ASD) has been associated with conditions like depression, anxiety, epilepsy, etc., due to its impact on an individual?s educational, social, and employment. Since diagnosis is challenging and there is no cure, the goal is to max...
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Iris Viana dos Santos Santana, Álvaro Sobrinho, Leandro Dias da Silva and Angelo Perkusich
This study compares the performance of machine learning models for selecting COVID-19 and influenza tests during coexisting outbreaks in Brazil, avoiding the waste of resources in healthcare units. We used COVID-19 and influenza datasets from Brazil to t...
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Ganjar Alfian, Muhammad Qois Huzyan Octava, Farhan Mufti Hilmy, Rachma Aurya Nurhaliza, Yuris Mulya Saputra, Divi Galih Prasetyo Putri, Firma Syahrian, Norma Latif Fitriyani, Fransiskus Tatas Dwi Atmaji, Umar Farooq, Dat Tien Nguyen and Muhammad Syafrudin
Analyzing customer shopping habits in physical stores is crucial for enhancing the retailer?customer relationship and increasing business revenue. However, it can be challenging to gather data on customer browsing activities in physical stores as compare...
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