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Academic Articles & Research Papers
Showing 15 of 35 academic articles
Glen Coppersmith, Ryan Leary, Patrick Crutchley, Alex B. Fine • Biomedical Informatics Insights
(2018)
Suicide is among the 10 most common causes of death, as assessed by the World Health Organization. For every death by suicide, an estimated 138 people's lives are meaningfully affected, and almost any other statistic around suicide deaths i...
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DOI: https://doi.org/10.1177/1178222618792860
PMC: 6111391
Yuxi Wang, Yue Wang, Sha Han • Discover Artificial Intelligence
(2026)
Abstract The secondary virtual circuits in smart substations enable digital and networked information exchange between devices. However, their extensive logical connections, complex structure, and implicit interdependencies pose significant...
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Open Access (DOAJ)
DOI: 10.1007/s44163-026-02248-2
Yuan Zi, Chenyu Zhou, Jiefu Chen, Zhu Han et al. • IEEE Access
(2025)
Efficient large-scale monitoring of methane emissions is crucial for sustainable environmental management, necessitating advanced remote sensing techniques that process hyperspectral imagery to provide detailed insights into the Earthȁ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3597991
Sanaz Janibeigi, Mahdi Bahaghighat, Zahra Yaghoubi, Nastooh Taheri Javan • CLEI Electronic Journal
(2026)
Conventional fire detection systems, which depend on smoke and fire sensors, frequently have problems with calibration, susceptibility to environmental changes, and the requirement for ongoing maintenance. These flaws can result in unfavora...
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Open Access (DOAJ)
DOI: 10.19153/cleiej.29.2.5
B. Valarmathi, N. Srinivasa Gupta, G. Prakash, R. Hemadri Reddy et al. • IEEE Access
(2023)
Deep learning and computer vision algorithms will be applied to find the breed of the dog from an image. The goal is to have the user submit an image of a dog, and the model will choose one of the 120 breeds stated in the dataset to determi...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3297440
Pedro Teixidó, Juan Antonio Gómez-Galán, Rafael Caballero, Francisco J. Pérez-Grau et al. • Sensors
(2021)
Perimeter detection systems detect intruders penetrating protected areas, but modern solutions require the combination of smart detectors, information networks and controlling software to reduce false alarms and extend detection range. The ...
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Open Access (DOAJ)
DOI: 10.3390/s21217379
Chairina Ulfa, Muhammad Fikry, Hafizh Al Kautsar AIdilof • Journal of Applied Informatics and Computing
(2026)
The rise of violent crimes involving sharp weapons and firearms in public spaces, including educational campuses, demands an automated real-time surveillance system to assist security personnel. This study proposes a web-based weapon detect...
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Open Access (DOAJ)
DOI: 10.30871/jaic.v10i4.13454
Jake Ryan, Meng-Jang Lin, Risto P Miikkulainen (1997)
With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is through monitoring unusual user activity. Methods of intrusio...
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Saleh Albahli • Future Internet
(2019)
Since the introduction of just-in-time effort aware defect prediction, many researchers are focusing on evaluating the different learning methods, which can predict the defect inducing changes in a software product. In order to predict thes...
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Open Access (DOAJ)
DOI: 10.3390/fi11120246
Cyprien Alexandre, Rodolphe Devillers, David Mouillot, Raphael Seguin et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2024)
Detecting and tracking ships remotely is now required in a wide range of contexts, from military security to illegal immigration control, as well as the management of fisheries and marine protected areas. Among the available methods, radar ...
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Open Access (DOAJ)
DOI: 10.1109/JSTARS.2024.3437187
Dimitrios Papamartzivanos, Felix Gomez Marmol, Georgios Kambourakis • IEEE Access
(2019)
The intrusion detection systems (IDSs) are essential elements when it comes to the protection of an ICT infrastructure. A misuse IDS is a stable method that can achieve high attack detection rates (ADR) while keeping false alarm rates under...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2893871
Hongyu Liu, Bo Lang • Applied Sciences
(2019)
Networks play important roles in modern life, and cyber security has become a vital research area. An intrusion detection system (IDS) which is an important cyber security technique, monitors the state of software and hardware running in th...
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DOI: https://doi.org/10.3390/app9204396
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...
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Open Access (DOAJ)
DOI: 10.3390/app16189017
(2021)
This authoritative reference work will provide readers with a complete overview of artificial intelligence (AI), including its historic development and current status, existing and projected AI applications, and present and potential future...
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DOI: https://doi.org/10.5040/9798400614842
Tala Talaei Khoei, Naima Kaabouch • Information
(2023)
Intrusion Detection Systems are expected to detect and prevent malicious activities in a network, such as a smart grid. However, they are the main systems targeted by cyber-attacks. A number of approaches have been proposed to classify and ...
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Open Access (DOAJ)
DOI: 10.3390/info14020103