Improved smart city security using a deep maxout network-based intrusion detection system with walrus optimization by Wahid Rajeh, Majed Aborokbah, Manimurugan S., Umar Albalawi, Ahamed Aljuhani, Osama Shibl Abdalghany Younes, Karthikeyan Periyasami

“…Methods This research addresses the need for robust intrusion detection systems (IDS) tailored to the unique challenges of securing public transportation within smart cities. …”
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A SERS‐Based Antibody‐Aptamer Sandwich Assay for Extracellular Vesicle‐Associated Tau Detection Using Gold Nanoparticles by Saqer Al Abdullah, Samaneh Ghadami, Md. Arifur Rahman Khan, Farbod Ebrahimi, Kyle Nowlin, Tetyana Ignatova, Kristen Dellinger

“…Subsequently, adding gold nanoparticles functionalized with SERS probes and aptamers enabled the detection of tau in EVs using SERS. …”
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A Small-Sample Target Detection Method of Side-Scan Sonar Based on CycleGAN and Improved YOLOv8 by Ye Zheng, Jun Yan, Junxia Meng, Ming Liang

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First Stability Characterization for a CZT Detection System in an e⁺e⁻ Collider Environment by Leonardo Abbene, Francesco Artibani, Manuele Bettelli, Antonino Buttacavoli, Fabio Principato, Andrea Zappettini, Massimiliano Bazzi, Giacomo Borghi, Mario Bragadireanu, Michael Cargnelli, Marco Carminati, Alberto Clozza, Francesco Clozza, Luca De Paolis, Raffaele Del Grande, Kamil Dulski, Laura Fabbietti, Carlo Fiorini, Carlo Guaraldo, Mihail Iliescu, Masahiko Iwasaki, Aleksander Khreptak, Simone Manti, Johann Marton, Pawel Moskal, Fabrizio Napolitano, Szymon Niedźwiecki, Hiroaki Ohnishi, Kristian Piscicchia, Yuta Sada, Francesco Sgaramella, Diana Laura Sirghi, Florin Sirghi, Magdalena Skurzok, Michal Silarski, Antonio Spallone, Kairo Toho, Lorenzo Toscano, Marlene Tüchler, Oton Vasquez Doce, Johann Zmeskal, Catalina Curceanu, Alessandro Scordo

“…Additionally, this study introduces a validated model of the response function of the detector. The relative deviations from the nominal values for the source transitions, obtained by fitting the entire spectrum with a background function and the previously introduced response function, are reported. …”
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Surface defect detection model of laser cutting polycrystalline cubic boron nitride tool based on asymptotic fusion strategy by Anfu Zhu, Jiaxiao Xie, Heng Guo, Jie Wang, Zilong Guo, Lei Xu, SiXin Zhu, Zhanping Yang, Bin Wang

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Detection of power theft in sensitive stations based on generalized robust distance metric and multi-classification support vector machine by Wei Zhang, Qiong Cao, Shuai Yang, Hao Guo

“…Through training and optimization, the support vector machine outputs the detection results of electricity stealing behavior according to the decision function, and realizes the accurate detection of electricity stealing behavior. …”
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Enhancing Cybersecurity Through Fusion of Optimization With Deep Wavelet Neural Networks on Denial of Wallet Attack Detection in Serverless Computing by P. Renukadevi, Sibi Amaran, A. Vikram, T. Prabhakara Rao, Mohamad Khairi Ishak

“…Deep learning (DL) models show strong potential in detecting DoW attacks, where attackers disrupt services by exploiting system resources. …”
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DETECTION AND SYSTEMATIZATION OF SIGNS AND MARKERS OF MODIFICATIONS IN MEDIA CONTENT FOR THE DEVELOPMENT OF A METHODOLOGY TO ENHANCING CRITICAL THINKING IN THE ERA OF DEEPFAKES by Ганна Чемерис

“…The paper focuses on creating a comprehensive framework for detecting manipulated content and identifying indicators such as pixelization, unnatural expressions, etc. …”
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Functional characterization of a novel plant growth-promoting rhizobacterium enhancing root growth and salt stress tolerance by Sanghee Lee, Young Kook Kim, Haulin Nie, Jongmin Ahn, Nayoung Kim, Seo-Rin Ko, Ah-Hyeon Choi, Hayoung Kwon, Yuxin Peng, Suk-Yoon Kwon, Ah-Young Shin

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Molecular signature of selective microRNAs in Cyprinus carpio (Linnaeus 1758):a computational approach by Soumendu Ghosh, Manojit Bhattacharya, Avijit Kar, Basanta Kumar Das, Bidhan Chandra Patra

“…Their conserved nature in various organisms provide a good source of miRNA identification and characterization using comparative genomic approaches through the bio-computational tools. …”
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Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples by Eloy Pérez-Gómez, José Gómez, José Gómez, Jennifer Gonzalo, Sergio Salgüero, Daniel Riado, María Luisa Casas, María Luisa Gutiérrez, Elena Jaime, Enrique Pérez-Martínez, Rafael García-Carretero, Javier Ramos, Conrado Fernández-Rodríguez, Conrado Fernández-Rodríguez, Myriam Catalá, Myriam Catalá, Luca Martino, Óscar Barquero-Pérez

“…Feature importance analysis highlighted specific wavelengths near 1,150 nm, 1,410 nm, and 1,927 nm, associated with water molecular states and liver function biomarkers (GPT, GOT, GGT), reinforcing the biological relevance of this approach.ConclusionsThese findings suggest that integrating NIRS and clinical data through machine learning enhances HCV diagnostic capabilities, offering a scalable and non-invasive alternative for early detection and risk assessment.…”
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Karbon dots (C-dots) dari Bahan Hayati untuk Deteksi Logam Berat by Cut Navita Rahmi, Sri Sugiarti, Alvian Dea Yuliani

“…This study aims to review carbon nanoparticles derived from natural sources for detecting heavy metals. C-dots derived from biological sources have been widely studied as selective heavy metal detection. …”
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Empowering Healthcare: TinyML for Precise Lung Disease Classification by Youssef Abadade, Nabil Benamar, Miloud Bagaa, Habiba Chaoui

“…However, it has limitations, such as a lack of recording functionality, dependence on the expertise and judgment of physicians, and the absence of noise-filtering capabilities. …”
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Short-Circuit Protection Circuit With Current Slope-to-Digital Conversion Short-Circuit Detection and Adaptive Soft Turn-Off by Seungjik Lee, Jinman Myung, Geonwoo Park, Yoseph Kim, Ockgoo Lee, Ilku Nam

“…It ensures that the drain–source voltage overshoot remains below 14.5% of the drain–source voltage while achieving a consistent response delay of approximately 750 ns for short-circuit detection and a turn-off time of approximately 500 ns for soft turn-off operation.…”
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Wearable MXene-enhanced organic Bio-FET paper patch for glucose detection in sweat with pH and temperature calibration by Milad Farahmandpour, Zoheir Kordrostami

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Redox-active sp2-c connected metal covalent organic frameworks for selective detection and reductive separation of uranium by Jin-Lan Liu, Zhi-Hai Peng, Jia-Xin Qi, Cheng-Rong Zhang, Zhen-Wen Zhang, Li Zhang, Ru-Ping Liang, Jian-Ding Qiu

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Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection by Yang Tian, Lisa Kelso, Yiting Xiao, Chaitanya Pallerla, Ramesh Bist, Siavash Mahmoudi, Ziyu Liu, Haizheng Xiong, Jeyam Subbiah, Terry Howell, Dongyi Wang

“…By enabling timely and accurate detection of contaminants, this technology has the potential to significantly impact public health by reducing the incidence of foodborne illnesses, safeguarding environmental resources, and enhancing overall safety and health outcomes.…”
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A Fault-Tolerant Localization Method for 5G/INS Based on Variational Bayesian Strong Tracking Fusion Filtering with Multilevel Fault Detection by Zhongliang Deng, Ziyao Ma, Haiming Luo, Jilong Guo, Zidu Tian

“…Sudden and gradual faults were quickly detected through a dual-channel pre-check, and then, the fault source was identified through AIME. …”
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Relationship between early neurological function and motor skills in Brazilian preterm infants: a cross-sectional study by Wendy Gabrielle Franca de Sousa, Ana Luiza Righetto Greco, Maja de Medeiros, Alicia Jane Spittle, Cibelle Kayenne Roberto Formiga

“…Thus, monitoring their development is needed for early detection and targeted intervention. This study aimed to assess the correlation between neurological function and motor skills in preterm infants from 2 to 6 months of corrected age after hospital discharge in an outpatient follow-up program. …”
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Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images by Bo Wei, Yili Zhang, Linshan Liu, Binghua Zhang, Dianqing Gong, Changjun Gu, Lanhui Li, Basanta Paudel

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