Showing 19 of 379 academic articles
Jongho Lee, Jiuk Shin, Jaewook Lee, Chorong Park et al. • Applied Sciences
(2023)
Large fires in factories cause severe human casualties and property damage. Thus, preparing more economical and efficient management strategies for fire prevention can significantly improve fire safety. This study deals with property damage...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app132111866
Tomasz Rokicki, Piotr Bórawski, Aneta Bełdycka-Bórawska, Bogdan Klepacki • Applied Sciences
(2026)
Port activity anomalies are rare but may signal operational constraints relevant to supply chains. The aim of the study was to develop and empirically evaluate a calibrated machine learning framework for forecasting rare, algorithmically de...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16189017
Longfei Cui, Xinyu Niu, Haizhong Qian, Xiao Wang et al. • Applied Sciences
(2025)
The extraction of shape features from vector elements is essential in cartography and geographic information science, supporting a range of intelligent processing tasks. Traditional methods rely on different machine learning algorithms tail...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15052383
Francesco Carnazza, Federico Carollo, Dominik Zietlow, Sabine Andergassen et al. • New Journal of Physics
(2022)
Full information about a many-body quantum system is usually out-of-reach due to the exponential growth—with the size of the system—of the number of parameters needed to encode its state. Nonetheless, in order to understand the complex phen...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1367-2630/ac7df6
Shifu Liu • Applied Sciences
(2026)
Accurate identification of runway base-course parameters is an important basis for structural condition assessment, yet separating base-course elastic modulus, thickness, and local damage from runway responses under moving aircraft loads re...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16188983
PHILEMON UTEN EMMOH, christopher ifeanyi Eke, Timothy Moses • Journal of Nigerian Society of Physical Sciences
(2025)
Selection of important features is very vital in machine learning tasks involving high-dimensional dataset with large features. It helps in reducing the dimensionality of a dataset and improving model performance. Most of the feature select...
DOAJ
Open Access (DOAJ)
DOI: 10.46481/jnsps.2025.2273
Aida Meto, Gerta Halilaj • Applied Sciences
(2025)
(1) Background: Advancements in dental imaging technologies have significantly transformed diagnostic and surgical practices. The integration of cone beam computed tomography (CBCT), artificial intelligence (AI), augmented reality (AR), and...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15116308
Yingtao Zhang, Wenhe Li, Yang Wu, Huili Wei • Applied Sciences
(2026)
The leakage detection of oil and gas is very important for the safe operation of pipelines. The existing working condition recognition methods have limitations in processing and capturing complex multi-category leakage signal characteristic...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16010480
Joanna Siwek, Konrad Pierzyński, Przemysław Siwek, Adrian Wójcik et al. • Applied Sciences
(2024)
This paper introduces a novel artificial intelligence model that integrates artificial empathy into the decision-making processes of collaborative agent systems. The existing models of collaborative behaviors, especially in swarm applicatio...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15010008
Elena Guerini-Rocco, Chiara Frascarelli, Joana Sorino, Francesca Maria Porta et al. • Applied Sciences
(2026)
Designing an optimal digital pathology workspace is essential to ensure diagnostic accuracy and safeguard the long-term well-being of pathologists. While digital pathology improves reproducibility, facilitates multidisciplinary collaboratio...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16126021
Alex Glynn • European Science Editing
(2025)
The tendency of generative artificial intelligence (AI) to ‘hallucinate’ false information is well known; AI-generated citations to non-existent sources have penetrated the bibliographies of peer-reviewed publications. D...
DOAJ
Open Access (DOAJ)
DOI: 10.3897/ese.2025.e153973
Omneya Attallah • Applied Sciences
(2023)
Cervical cancer, among the most frequent adverse cancers in women, could be avoided through routine checks. The Pap smear check is a widespread screening methodology for the timely identification of cervical cancer, but it is susceptible to...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app13031916
Alessandro Silacci, Redha Taiar, Maurizio Caon • Applied Sciences
(2020)
In a world where the data is a central piece, we provide a novel technique to design training plans for road cyclists. This study exposes an in-depth review of a virtual coach based on state-of-the-art artificial intelligence techniques to ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app11010313
Eleftherios Fyntikakis, Spyridon Plakias, Themistoklis Tsatalas, Minas A. Mina et al. • Applied Sciences
(2026)
Background: Strength training (ST) is essential for enhancing athletic performance and reducing injury risk, yet traditional monitoring relies heavily on subjective assessment, limiting objective and individualized evaluation. Objective: Th...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16073565
Youngseob Lee, Kiwan Kim, Yunseo Kim, Daeyoung Kong et al. • Small Structures
(2025)
With the rising demand for data centers, the need for an efficient thermal management approach becomes increasingly critical. This study examines the enhancement in pool boiling heat transfer on a customized multichip module, designed to mi...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/sstr.202400512
Timothy Sands • Applied Sciences
(2022)
Infrastructure monitoring, inspection, repair, and replacement in space is crucial for continued usage and safety, yet it is expensive, time-consuming, and technically very challenging. New robotics technologies and artificial intelligence ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app12062992
Xinyue Wang, Weifan Lin, Weiting Zhang, Yiwen Huang et al. • Applied Sciences
(2024)
In this paper, the Merkle-Transformer model is introduced as an innovative approach designed for financial data processing, which combines the data integrity verification mechanism of Merkle trees with the data processing capabilities of th...
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Open Access (DOAJ)
DOI: 10.3390/app14041386
Márcio S. Gomes-Filho, Pablo de Castro, Danilo B. Liarte, Fernando A. Oliveira • Entropy
(2024)
The Kardar–Parisi–Zhang (KPZ) equation describes a wide range of growth-like phenomena, with applications in physics, chemistry and biology. There are three central questions in the study of KPZ growth: the determination of height probabili...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e26030260
Seunghoon Woo, Donghoon Shin • Applied Sciences
(2021)
This paper presents a double sky-hook algorithm for controlling semi-active suspension systems in order to improve road-holding property for application in an in-wheel motor. The main disadvantage of the in-wheel motor is the increase in un...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app11198912