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  1. 161

    SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments by Xiangqian Huang, Xiaoming Li, Limengzi Yuan, Zhao Jiang, Hongwei Jin, Wanghao Wu, Ru Cai, Meilian Zheng, Hongpeng Bai

    Published 2025-01-01
    “…These results indicate that SDES-YOLO successfully combines efficiency and precision in fall detection. …”
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    Article
  2. 162
  3. 163

    Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

    Published 2025-03-01
    “…The proposed model leverages a deep learning-based anomaly detection system to classify network states into low, moderate, or high threat levels, which guides encryption policy selection. …”
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    Article
  4. 164

    Quantum Edge Detection by Santiago Llorens, Walther González, Gael Sentís, John Calsamiglia, Ramon Muñoz-Tapia, Emili Bagan

    Published 2025-04-01
    “…We analyze the behavior of the success probability as a function of the string length and local dimension, with emphasis in the limit of long strings. …”
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  5. 165

    Development of an embedded diagnostic tool for visual misalignment screening by Daniel Soto Rodriguez, Andres Eduardo Rivera Gomez, Ruthber Rodriguez Serrezuela

    Published 2025-09-01
    “…A novel treatment validation mechanism was implemented by analyzing pupil-to-stimulus distance frame-by-frame, confirming reliable eye tracking and the system’s potential for detecting microstrabismus. This open-source, portable prototype is suitable for community health screening and educational use, particularly in low-resource settings.…”
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  6. 166

    Millimeter-Wave Imaging with Range-Resolved 3D Depth Extraction Using Glow Discharge Detection and Frequency-Modulated Continuous Wave Radar by Arun Ramachandra Kurup, Daniel Rozban, Amir Abramovich, Yitzhak Yitzhaky, Natan Kopeika

    Published 2025-02-01
    “…Reflected signals are processed by the GDD, which functions as a heterodyne receiver, and Fast Fourier Transform (FFT) is used to extract range data. …”
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    Article
  7. 167
  8. 168

    A Poisson Process AutoDecoder for X-Ray Sources by Yanke Song, V. Ashley Villar, Rafael Martínez-Galarza, Steven Dillmann

    Published 2025-01-01
    “…The arrival of photons as a function of time follows a Poisson process and can vary by orders-of-magnitude, presenting obstacles for common tasks such as source classification, physical property derivation, and anomaly detection. …”
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  9. 169

    Use of artificial water sources by tapirs in the Maya Forest, Mexico by Fernando M. Contreras-Moreno, Khiavett Sánchez-Pinzón, Daniel Jesús-Espinosa, Jose Mauricio Méndez-Tun, Jesus Lizardo Cruz-Romo, Pedro Bautista-Ramírez

    Published 2025-04-01
    “…The PIV, occupancy, and detectability obtained in the present study were similar to those reported in natural water bodies in the Maya Forest, which supports the idea that the water troughs could temporarily supply maintenance functions for tapirs during the dry season or in periods when water is scarce in the landscape, being this the only source of water available to satisfy their requirements for this resource in the CBR. …”
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  10. 170

    Source localization based on time delay estimation in complex environment by Da-wei ZHANG, Chang-chun BAO, Bing-yin XIA

    Published 2014-01-01
    “…In order to improve the performance of source localization in noisy and reverberant environments,a novel time delay estimation (TDE) method was proposed.This method is called acoustical transfer function ratio based on statistical model (ATFR-SM).In the proposed algorithm,the noise reduction method based on the statistical model was adopted to reduce the effect of noise on acoustical transfer Function (ATF).In the ATF method,the power spectral density (PSD) was smoothed and whitened to reduce the effect of reverberations.voice activity detection (VAD) was used to distinguish the speech period from the noise period,and the TDE was performed in the speech period to improve the estimation accuracy.Moreover,the proposed TDE method and the linear closed-form method for source localization were combined to constitute a source localization system.The results of performance evaluation show that,in both the noisy and reverberant conditions,the lower percentage of abnormal points (PAP) and lower root mean square error (RMSE) can be achieved by the proposed TDE method than those of the reference methods.Meanwhile,the source localization has higher accuracy than the reference methods.…”
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  11. 171

    Development of a Captiva EMR-lipid clean-up and LC-MS/MS methodology for detecting H2 receptor antagonists in functional foods and food-medicine homology materials by Guodong Shan, Xiuqin Fan, Qingcheng Wang, Li Zhang, Lijun Ge, Weibo Lu, Jing Xue, Kang Chen, Zejun Wang, Qing Shen

    Published 2025-06-01
    “…The inappropriate use of H2 receptor antagonists (H2RAs) in functional foods (FFs) and food-medicine homology materials (FMHs) designed to enhance gastrointestinal function (IGF) presents health risks due to potential adverse effects. …”
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  15. 175

    Fullerene-Functionalized Cellulosic Hydrogel Biosensor with Bacterial Turn-on Fluorescence Response Derived from Carboxymethyl Cellulose for Intelligent Food Packaging with DFT Cal... by Hebat-Allah S. Tohamy

    Published 2025-04-01
    “…FTIR analysis confirmed the successful grafting of AMPS and incorporation of N-fullerenes, indicated by characteristic peaks and a shift in the N–H/O–H stretching frequency. …”
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  16. 176

    Source reconstruction accuracy of MEG and EEG Bayesian inversion approaches. by Paolo Belardinelli, Erick Ortiz, Gareth Barnes, Uta Noppeney, Hubert Preissl

    Published 2012-01-01
    “…Still, no correct network detection is possible without reliable source localization. …”
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  17. 177

    A Generalized Method for Sentiment Analysis across Different Sources by Abubakar M. Ashir

    Published 2021-01-01
    “…In this study, a rule and lexical-based procedure is proposed together with unsupervised machine learning to implement sentiment analysis with an improved generalization ability across different sources. To deal with sources devoid of syntactic and grammatical structure, the approach incorporates a ruled-based technique for emoticon detection, word contraction expansion, noise removal, and lexicon-based text preprocessing using lexical features such as part of speech (POS), stop words, and lemmatization for local context analysis. …”
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  18. 178

    Productivity, activity of digestive and antioxidant enzymes of carp (Cyprinus carpio Linnaeus, 1758) as a result of the use of inulin in low-nutrient feeds by O. Deren, O. Dobrianska, M. Koryliak

    Published 2025-06-01
    “…The practical use of the knowledge gained outlines the possibility of optimizing the production of fish when introducing resource-saving technologies in aquaculture.…”
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    Open Source Sensor Interface for Soft Detectors in Surgical Simulators by Thomas Thurner, Roland Pruckner, Martin Kaltenbrunner, Andreas Schrempf

    Published 2023-01-01
    “…In this context, soft sensors enable low-cost position or force detection in haptically realistic synthetic tissue imitations to link the physical and virtual components of a patient phantom. …”
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