An ensemble of modern computer vision models for deepfake detection by Aleksandr S. Pikul

“…The novelty of the approach lies in the application and comparison of these architectures, as well as their combination into paired ensembles to improve the accuracy of deepfake detection. The study conducted an experiment based on the application of multiple architectures for image processing. …”
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Spin detector for panchromatic circularly polarized light detection by Lvpeng Yang, Yerun Gao, Zhenye Wang, Long Yang, Ming Shao

“…Abstract Circularly polarized light (CPL) detection is crucial for optical communication, bioimaging and quantum computing. …”
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Web Traffic Anomaly Detection Using Isolation Forest by Wilson Chua, Arsenn Lorette Diamond Pajas, Crizelle Shane Castro, Sean Patrick Panganiban, April Joy Pasuquin, Merwin Jan Purganan, Rica Malupeng, Divine Jessa Pingad, John Paul Orolfo, Haron Hakeen Lua, Lemuel Clark Velasco

“…The publicly available weblogs dataset from an e-commerce website underwent data preparation through a systematic pipeline of processes involving data ingestion, data type conversion, data cleaning, and normalization. …”
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An Approach for Detecting Tomato Under a Complicated Environment by Chen-Feng Long, Yu-Juan Yang, Hong-Mei Liu, Feng Su, Yang-Jun Deng

“…Although mechanical picking can improve efficiency, it is affected by factors such as leaf occlusion and changes in light conditions in the tomato growth environment, resulting in poor detection and recognition results. To address these challenges, this study proposes a tomato detection method based on Graph-CenterNet. …”
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Surprisal-based algorithm for detecting anomalies in categorical data by Ossama Cherkaoui, Houda Anoun, Abderrahim Maizate

“…Anomaly detection is an important research area in a diverse range of real-world applications. …”
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Machine learning models for enhanced stroke detection and prediction by Shilpa Bajaj, Manju Bala, Mohit Angurala

“…Stroke detection plays a vital role in medical diagnostics, where timely and accurate identification can improve patient outcomes. …”
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RETRACTED: Computerized Detection of Calcium Oxalate Crystal Progression by Hanan A. Hosni Mahmoud

“…Some of these crystallizations are more common, and human and animal ingestion can be avoided if the degree of severity is detected at an early stage. Therefore, in this paper, we present a computerized method for detecting calcium oxalate crystallizations at an early stage, when chances for avoiding it are higher. …”
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Anxiety Detection Using Consumer Heart Rate Sensors by Soraya Sinche, Jefferson Acán, Pablo Hidalgo

“…Their features were extracted, processed, and analyzed for anxiety detection. The classification performance was evaluated using decision trees, a support vector machine (SVM), and meta-classifiers to accurately distinguish between “stressed” and “non-stressed” states. …”
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Detection of vital signs based on millimeter wave radar by Zhanjun Hao, Yue Wang, Fenfang Li, Guozhen Ding, Kai Fan, Yifei Gao

“…The method consists of three steps: signal processing, decomposition, and reconstruction. Firstly, the millimeter-wave radar is used to detect chest movements, extracting both respiration and heartbeat signals. …”
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Robust Corner Detection Using Local Extrema Differences by Reza Yazdi, Hassan Khotanlou, Hosna Khademfar

“…It achieves better accuracy in corner localization and reduces both missed detections and false positives. Furthermore, requiring only one parameter for adjustment, it offers computational efficiency and real-time processing potential. …”
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Enhanced Chemosensory Detection of Negative Emotions in Congenital Blindness by Katrine D. Iversen, Maurice Ptito, Per Møller, Ron Kupers

“…Substantial research has been done on somatosensory and auditory sensory information processing of the blind. However, relatively little information is available about compensatory plasticity in the olfactory domain. …”
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Detectability of calcifications in breast tissues by the ultrasonic echo method by Leszek FILIPCZYŃSKI

“…The tumour processes in breasts involve calcifications which can be detected using ultrasonic methods. …”
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Algorithms for Integrated Object Detection in Wireless Sensor Networks by V. I. Parfenov, T. T. Bui

“…Wireless sensor networks can be used to solve various economic problems, including detection of objects (phenomena) of interest. Most of the well-known information processing algorithms in such networks are built according to a radial architecture. …”
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Synthetic data generation for anomaly detection on table grapes by Ionut M. Motoi, Valerio Belli, Alberto Carpineto, Daniele Nardi, Thomas A. Ciarfuglia

“…Early detection of illnesses and pest infestations in fruit cultivation is critical for maintaining yield quality and plant health. …”
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Coastal Eddy Detection in the Balearic Sea: SWOT Capabilities by Laura Fortunato, Laura Gómez-Navarro, Vincent Combes, Yuri Cotroneo, Giuseppe Aulicino, Ananda Pascual

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A System for Real-Time Detection of Abandoned Luggage by Ivan Vrsalovic, Jonatan Lerga, Marina Ivasic-Kos

“…To do this, we use an adapted YOLOv11-s model and a proposed algorithm for detecting unattended luggage. The system uses the OpenCV library for the video processing of the recorded footage, a detector, and an algorithm that analyzes the movement of a person and their luggage and evaluates their spatial and temporal relationships to determine whether the luggage is truly abandoned. …”
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Reliable and Sensitive Detection of Carbonylated Proteins by Oxime Blot by Filip Mikulić, Viktor Merćep, Marcela Finek, Mladen Merćep

“…It is most frequently detected following its derivatization with 2,4-dinitrophenylhydrazine (DNPH) hapten, followed by its detection with an anti-DNP antibody. …”
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Strawberry Disease Detection Using Multispectral UAV Imagery by A. F. Cheshkova, V. S. Riksen

“…With the advancement of unmanned aerial vehicles and sensor technologies, remote sensing has emerged as a promising tool for monitoring crop health and detecting diseases. Early detection is especially important for sensitive crops such as garden strawberries. …”
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Solar Radio Burst Detection Based on Deformable DETR by Mingming Wang, Guowu Yuan, Hao Zhou, Chengming Tan, Hao Wu

“…Additionally, the model exhibits excellent noise-robust performance and can efficiently detect and locate Type II, III, IV, and V SRBs. The model proposed in this study provides robust support for preliminary SRB data processing and has significant implications for space weather forecasting. …”
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Optimizing screening procedures for early detection of glycemic disorders by Inna Vladimirovna Misnikova, Alexander Vasil'evich Dreval, Yulia Alexandrovna Kovaleva, Valeria Alekseevna Gubkina, Tatiana Sergeevna Lakeeva

“…Impaired glucose tolerance was detected in 12.1% (n=266), impaired fasting glucose ? …”
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