Lightweight Deepfake Detection Based on Multi-Feature Fusion by Siddiqui Muhammad Yasir, Hyun Kim

“…Deepfake technology utilizes deep learning (DL)-based face manipulation techniques to seamlessly replace faces in videos, creating highly realistic but artificially generated content. …”
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Annotated intraoral image dataset for dental caries detection by Syed Muhammad Faizan Ahmed, Muhammad Huzaifa Ghori, Aamna Khalid, Ayesha Nooruddin, Niha Adnan, Abhishek Lal, Fahad Umer

“…Abstract This study introduces the first publicly available annotated intraoral image dataset for Artificial Intelligence (AI)-driven dental caries detection, addressing the lack of available datasets. …”
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Journal Bearing Fault Detection Based on Daubechies Wavelet by Narendiranath Babu THAMBA, Himamshu H S, Prabin Kumar NAYAK, Rama Prabha D, Nishant CHILUAR

“…The major problem that could arise in journal bearings is catastrophic failure due to corrosion or erosion and fatigue, which results in economic loss and creates major safety risks. Thus, it is necessary to provide suitable condition monitoring technique to detect and diagnose failures, and achieve cost savings to the industry. …”
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Optimal Partitioning of Unbalanced Datasets for BGP Anomaly Detection by Rahul Deo Verma, Pankaj Kumar Keserwani, Vinesh Kumar Jain, Mahesh Chandra Govil, M. W. P. Maduranga, Valmik Tilwari

“…Maintaining the security and robustness of the Internet anomaly detection in Border Gateway Protocol (BGP) traffic is very important so that stable routing services can be ensured. …”
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Optimized spectral indices for camouflage detection in multispectral imagery by Tobias Hupel, Peter Stütz

“…Unmanned aerial vehicles, equipped with multispectral imaging systems, as well as publicly available datasets, have fueled various research in remote sensing applications, including precision agriculture, land cover mapping or even camouflage detection. Many of these applications make use of spectral indices, such as normalized difference or ratio indices, created by merging multiple raw bands. …”
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CREATING THE KULTUK POLYGON FOR EARTHQUAKE PREDICTION: VARIATIONS OF (234U/238U) AND 87SR/86SR IN GROUNDWATER FROM ACTIVE FAULTS AT THE WESTERN SHORE OF LAKE BAIKAL by S. V. Rasskazov, E. P. Chebykin, A. M. Ilyasova, E. N. Vodneva, I. S. Chuvashova, S. A. Bornyakov, A. K. Seminsky, S. V. Snopkov, V. V. Chechel'nitsky, N. A. Gileva

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Toward Versatile Small Object Detection with Temporal-YOLOv8 by Martin C. van Leeuwen, Ella P. Fokkinga, Wyke Huizinga, Jan Baan, Friso G. Heslinga

“…In this study, we address the aforementioned challenges and create a deep learning-based pipeline for versatile small object detection. …”
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Single Transit Detection in Kepler with Machine Learning and Onboard Spacecraft Diagnostics by Matthew T. Hansen, Jason A. Dittmann

“…Exoplanet discovery at long orbital periods requires reliably detecting individual transits without additional information about the system. …”
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AI bot to detect fake COVID‐19 vaccine certificate by Muhammad Arif, Shermin Shamsudheen, F Ajesh, Guojun Wang, Jianer Chen

“…., based on their daily requirements. But others create their own forged vaccine certificate using advanced software and digital tools which will create complex problems where we cannot distinguish between real and fake vaccine certificates. …”
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Experts fail to reliably detect AI-generated histological data by Jan Hartung, Stefanie Reuter, Vera Anna Kulow, Michael Fähling, Cord Spreckelsen, Ralf Mrowka

“…While participant performance depends on the amount of training data used, even low quantities are sufficient to create convincing images, necessitating methods and policies to detect fabricated data in scientific publications.…”
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A Hybrid Vision-Map Method for Urban Road Detection by Carlos Fernández, David Fernández-Llorca, Miguel A. Sotelo

“…The objective of this paper is to create a new environment perception method to detect the road in urban environments, fusing stereo vision with digital maps by detecting road appearance and road limits such as lane markings or curbs. …”
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Application of Honeypot in Network Security for Detecting Cyber Attacks on IT Infrastructure by Carlos Susanto, Moh Ali Romli

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Fake News Detection Model Basing on Machine Learning Algorithms by Mohammed A. Taha, Haider D. A. Jabar, Widad K. Mohammed

“…Detecting false information in text is challenging, even for experts who need to consider multiple factors to determine authenticity. …”
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Threat Detection Framework Based on Industrial Internet of Things Logs by Shuqin Zhang, Yong Wang, Xinyu Su

“…However, most existing anomaly detection methods consider quantitative or sequential relationships between log events. …”
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VPN Traffic Analysis: A Survey on Detection and Application Identification by Yasameen Sajid Razooqi, Adrian Pekar

“…While VPNs enhance user privacy and security, they also create blind spots for network operators, potentially concealing malicious activities or hindering performance management. …”
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Cross-language refactoring detection method based on edit sequence by Tao LI, Dongwen ZHANG, Yang ZHANG, Kun ZHENG

“…Aiming at the problems of unreliable commit message caused by developers not consistently recording refactoring operations, and language singularityin deep learning-based refactoring detection methods, a cross-language refactoring detection method RefCode was proposed. …”
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Using pseudo-AI submissions for detecting AI-generated code by Shariq Bashir

“…IntroductionGenerative AI tools can produce programming code that looks very similar to human-written code, which creates challenges in programming education. Students may use these tools inappropriately for their programming assignments, and there currently are not reliable methods to detect AI-generated code. …”
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The AI Music Arms Race: On the Detection of AI-Generated Music by Laura Cros Vila, Bob L. T. Sturm, Luca Casini, David Dalmazzo

“…Several companies now offer platforms for users to create music at unprecedented scales by textual prompting. …”
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Developing an Intelligent System for Efficient Botnet Detection in IoT Environment by Ramesh Singh Rawat, Manoj Diwakar, Umang Garg, Prakash Srivastava

“…The sample dataset must be well structured for training the model and validating the suggested model to create the best protection system model feasible for detecting cyber risks. …”
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Fault Detection System of Photovoltaic Based on Artificial Neural Network by Ali Salman Zamzeer, Mansour S. Farhan, Haider TH. ALRikabi

“… Using PV systems, solar energy may be used to create electricity. Every year, the proportion of solar energy in the electric system increases significantly. …”
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