Bias‐Independent True Random Number Generator Circuit using Memristor Noise Signals as Entropy Source by Jinwoo Park, Hyunjoong Kim, Hyungjin Kim

“…Finally, the performance of the designed TRNG circuit is evaluated using autocorrelation functions and National Institute of Standards and Technology tests, confirming its capability to produce random number bitstreams.…”
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Municipal secondary-treated effluent data seem to be a suitable source of information for human viral trends by Elsa T. Rodrigues, Joana M. Oliveira, Anália Carmo, Miguel A. Pardal, Ana M. Matos

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YOLO-PEL: The Efficient and Lightweight Vehicle Detection Method Based on YOLO Algorithm by Zhi Wang, Kaiyu Zhang, Fei Wu, Hongxiang Lv

“…YOLOv8-PEL shows outstanding performance in detection accuracy, computational efficiency, and generalization capability, making it suitable for real-time and resource-constrained applications. …”
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Detection and tracking of mask wearing based on deep learning by Wang Lin, Nan Gaigai

“…In order to reduce the consumption of a large number of human resources in manual inspection of mask wearing, this paper proposes a method of mask wearing detection and tracking based on deep learning, which is divided into two modules: detection and tracking. …”
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Merging Surface Plasmon Optical Detection with Electronic Sensing by Wolfgang Knoll

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Image Processing for Laser Impact Detection in Shooting Simulators by José Antonio García Torres, Daniel Guzmán Pérez, Jhon Fredy Rincón Morantes, Daniel Felipe Molina Martínez, Cristian Camilo García Rodríguez, Jhonnatan Eduardo Zamudio Palacios

“…Moreover, wired setups limit their use in outdoor environments due to the lack of access to a power source. This study developed an image-processing-based method to replace live ammunition with a laser-emitting device. …”
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An AI-Based Open-Source Software for <i>Varroa</i> Mite Fall Analysis in Honeybee Colonies by Jesús Yániz, Matías Casalongue, Francisco Javier Martinez-de-Pison, Miguel Angel Silvestre, Beeguards Consortium, Pilar Santolaria, Jose Divasón

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Infrared Satellite Detection Limits for Monitoring Atmospheric Ammonia by Mark W. Shephard, Shailesh K. Kharol, Enrico Dammers, Christopher E. Sioris, Andrew Bell, Rik Jansen, Jerome Caron, Ralph Snel, Emanuela Palombo, Karen E. Cady-Pereira, Chris A. McLinden, Erik Lutsch, Robert O. Knuteson

“…Information on the frequency of a given detection limit, and the cumulative probability of detection, are provided as a function of instrument spectral resolution and noise. …”
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High-Quality and Enhanced-Resolution Single-Pixel Imaging Based on Spiral Line Array Laser Source by Guozhong Lei, Haolong Jia, Wenchang Lai, Wenhui Wang, Wenda Cui, Yan Wang, Hao Liu, Kai Han

“…We propose a spiral line array laser source which can generate random illumination light fields without periodicity in the normalized second-order correlation function <italic>g</italic>⁽²⁾. …”
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Distributed Decision Making for Electromagnetic Radiation Source Localization Using Multi-Agent Deep Reinforcement Learning by Jiteng Chen, Zehui Zhang, Dan Fan, Chaoqun Hou, Yue Zhang, Teng Hou, Xiangni Zou, Jun Zhao

“…The detection and localization of radiation sources in urban areas present significant challenges in electromagnetic spectrum operations, particularly with the proliferation of small UAVs. …”
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BASSET: Bandpass-adaptive Single-pulse Search Toolkit—Optimized Subband Pulse Search Strategies for Faint Narrowband Fast Radio Bursts by J. H Cao, P. Wang, D. Li, Q. H. Pan, K. Mao, C. H. Niu, Y. K. Zhang, Q. Y. Qu, W. J. Lu, J. S. Zhang, Y. H. Zhu, Y. D. Wang, H. X. Chen, X. L. Chen, J. H. Fang, Y. Feng, H. Gao, Y. F. Huang, J. Li, C. C. Miao, C. W. Tsai, J. M. Yao, S. P. You, R. S. Zhao, Q. Z. Liu, S. M. Weng, S. H. Yew, J. Zhang, L. Zhang, E. Gügercinoğlu, D. K. Zhou, W. W. Zhu

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Research on intrusion detection model based on improved MLP algorithm by Qihao Zhao, Fuwei Wang, Weimin Wang, Tianxin Zhang, Haodong Wu, Weijun Ning

“…These patterns can be effectively captured through MLP’s multiple nonlinear transformations, such as ReLU and Sigmoid activation functions, which are especially beneficial for intrusion detection. …”
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Multiepoch Observations of the Nearby Spiral Galaxy NGC 3938 with the Chandra X-Ray Observatory by Siddhi Raut, Eric M. Schlegel, Thomas G. Pannuti, Brannon W. Jones, Jacobo Matallana

“…A total of 47 discrete merged sources from both epochs were detected at the ≈3 σ level or greater with the D25 radius. …”
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Potential Source Regions and Transportation Pathways of Reactive Gases at a Regional Background Site in Northwestern China by Quanwei Zhao, Qing He, Lili Jin, Jianlin Wang

“…Wind rose, cluster analysis, potential source contribution function (PSCF), and concentration-weighted trajectory (CWT) methods were adopted for identifying the transport pathways and potential source regions of these atmosphere components at Akedala. …”
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Transformer-based ECG classification for early detection of cardiac arrhythmias by Sunnia Ikram, Amna Ikram, Harvinder Singh, Malik Daler Ali Awan, Sajid Naveed, Isabel De la Torre Díez, Henry Fabian Gongora, Thania Candelaria Chio Montero

“…Electrocardiogram (ECG) classification plays a critical role in early detection and trocardiogram (ECG) classification plays a critical role in early detection and monitoring cardiovascular diseases. …”
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DWS-YOLO: A Lightweight Detector for Blood Cell Detection by Yihai Mao, Hongyi Zhang, Wanqing Wu, Xingen Gao, Zhibin Lin, Juqiang Lin

“…Improved attention, loss function, and suppression enhance detection accuracy, while lightweight C3 module reduces computation time. …”
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MDV ClimEx: An open-source tool for exploring climate anomalies in the McMurdo Dry Valleys of Antarctica by Renée F. Brown, Gavin P. Wagner

“…In the McMurdo Dry Valleys (MDVs), three decades of high-resolution meteorological monitoring offer a rare opportunity to characterize climate baselines and detect anomalous conditions that may signal extreme events capable of triggering hydrological and ecological responses. …”
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Are Your kidneys ok? Detect early to protect kidney health by Joseph A. Vassalotti, Anna Francis, Augusto Cesar Soares Dos Santos Jr, Ricardo Correa-Rotter, Dina Abdellatif, Li-Li Hsiao, Stefanos Roumeliotis, Agnes Haris, Latha A. Kumaraswami, Siu-Fai Lui, Alessandro Balducci, Vassilios Liakopoulos

“…using serum creatinine to estimate kidney function and urine albumin to assess for kidney and endothelial damage. …”
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Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection by A. M. Mutawa, G. R. Hemalakshmi, N. B. Prakash, M. Murugappan

“…This study pioneers an innovative framework, using Multi-Scale Discriminative Robust Local Binary Pattern (MS-DRLBP) features, combined with a hybrid Convolutional Neural Network-Radial Basis Function (CNN-RBF) classifier, to enhance the detection of DR. …”
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Are Your Kidneys Ok? Detect Early to Protect Kidney Health by Joseph A. Vassalotti, Anna Francis, Augusto Cesar Soares Dos Santos Jr, Ricardo Correa-Rotter, Dina Abdellatif, Li-Li Hsiao, Stefanos Roumeliotis, Agnes Haris, Latha A. Kumaraswami, Siu-Fai Lui, Alessandro Balducci, Vassilios Liakopoulos

“…using serum creatinine to estimate kidney function and urine albumin to assess for kidney and endothelial damage. …”
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