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Bahareh Kalantar, Husam A. H. Al-Najjar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda and Seyed Amir Naghibi
Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this reason, in this work, we look at three statistical factor analysis methods?Variance Inflation Fac...
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Zhi-Weng Chua, Yuriy Kuleshov and Jessica Bhardwaj
Most existing drought forecast systems rely only on observed or forecast rainfall, losing valuable context gained from considering both. The lack of a direct link between observed and forecast rainfall reduces the physical consistency of a system, motiva...
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Nosa Aikodon, Sandra Ortega-Martorell and Ivan Olier
Patients in Intensive Care Units (ICU) face the threat of decompensation, a rapid decline in health associated with a high risk of death. This study focuses on creating and evaluating machine learning (ML) models to predict decompensation risk in ICU pat...
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Devendra M. Amatya, Timothy J. Callahan, Sourav Mukherjee, Charles A. Harrison, Carl C. Trettin, Andrzej Walega, Dariusz Mlynski and Kristen D. Emmett
Hydrology and meteorological data from relatively undisturbed watersheds aid in identifying effects on ecosystem services, tracking hydroclimatic trends, and reducing model uncertainties. Sustainable forest, water, and infrastructure management depends o...
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Isidro Cantarino, Miguel Angel Carrion, Víctor Martínez-Ibáñez and Eric Gielen
Two methods are proposed here to improve the reliability of landslide susceptibility maps in risk assessment: (1) Frequency Ratio uses clusters/regression from inventory data, instead of standard intervals and (2) Diagnostic tests improve conventional cl...
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Surasit Songma, Theera Sathuphan and Thanakorn Pamutha
This article examines intrusion detection systems in depth using the CSE-CIC-IDS-2018 dataset. The investigation is divided into three stages: to begin, data cleaning, exploratory data analysis, and data normalization procedures (min-max and Z-score) are...
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Kristoffer Vinther Olesen, Ahcène Boubekki, Michael C. Kampffmeyer, Robert Jenssen, Anders Nymark Christensen, Sune Hørlück and Line H. Clemmensen
The analysis of maritime traffic patterns for safety and security purposes is increasing in importance and, hence, Vessel Traffic Service operators need efficient and contextualized tools for the detection of abnormal maritime behavior. Current models la...
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William Villegas-Ch and Jaime Govea
This article addresses the need for early emergency detection and safety monitoring in public spaces using deep learning techniques. The problem of discerning relevant sound events in urban environments is identified, which is essential to respond quickl...
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Alex Barreto de Lima, Fátima Baptista, Duarte Henrinques-Neto, André de Araújo Pinto and Elvio Rúbio Gouveia
Introduction: Physical fitness concerns a set of attributes related to the ability to perform physical activity that may justify the symptoms reported by the elderly in the context of sarcopenia. Objective: This study aimed to investigate the relationshi...
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Rabin Chakrabortty, Subodh Chandra Pal, Dipankar Ruidas, Paramita Roy, Asish Saha and Indrajit Chowdhuri
Flood, a distinctive natural calamity, has occurred more frequently in the last few decades all over the world, which is often an unexpected and inevitable natural hazard, but the losses and damages can be managed and controlled by adopting effective mea...
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