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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Validación de una encuesta de opinión sobre la eficacia de la simulación para participantes by Aida Camps-Gómez, Anna González-Fernández, Jennifer Morata-Serrano, Katherina M. Faundez-Inostroza, Carmen Gomar-Sancho, Marina Mateu-Capell

“…This study describes the process to create and validate a survey to assess the opinion of participants in a learning activity with simulation methodology. …”
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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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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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An Ensemble of Convolutional Neural Networks for Sound Event Detection by Abdinabi Mukhamadiyev, Ilyos Khujayarov, Dilorom Nabieva, Jinsoo Cho

“…Sound event detection tasks are rapidly advancing in the field of pattern recognition, and deep learning methods are particularly well suited for such tasks. …”
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Advances in machine learning for the detection and characterization of microplastics in the environment by M. Maksuda Khanam, M. Khabir Uddin, Julhash U. Kazi

“…Recent advances in machine learning (ML) have revolutionized the field of microplastic research by automating and enhancing detection processes. In particular, algorithms such as support vector machines, random forests, and convolutional neural networks have demonstrated considerable success in classifying microplastics based on chemical signatures and visual characteristics. …”
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