An Adaptive PSO Approach with Modified Position Equation for Optimizing Critical Node Detection in Large-Scale Networks: Application to Wireless Sensor Networks by Abdelmoujib Megzari, Walid Osamy, Bader Alwasel, Ahmed M. Khedr

“…Identifying such nodes is a fundamental step toward ensuring the reliability of WSNs. The critical node detection problem (CNDP) focuses on determining the set of nodes whose removal most significantly affects the network’s connectivity, stability, functionality, robustness, and resilience. …”
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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

“…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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An innovative and mass-sensitive quartz tuning fork (QTF) biosensor for GFAP detection: A novel approach for traumatic brain injury diagnosis by Burcu Özcan, İnci Uludağ Anıl, Mehmet Altay Ünal, Fikret Arı, Mustafa Kemal Sezgintürk, Sibel Ayşıl Özkan

“…In this investigation, a novel biosensor based on quartz tuning forks (QTF) was introduced and functionalized with 11-mercaptoundecanoic acid (11-MUA). …”
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Fabrication of folic acid immobilized graphene oxide-silica (FA@GO-SiO2) for the electrochemical detection of circulating tumor cells by Sabeen Iqbal, Saman Kainat, Fahmida Jabeen, Muhammad Salman Sajid, Saadat Majeed, Muhammad Najam-ul-Haq

“…Herein, graphene oxide (GO) - silica (SiO2) nanocomposite functionalized with folic acid (FA@GO-SiO2) is developed for the selective and sensitive detection of CTCs from blood. …”
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Machine learning based multi-stage intrusion detection system and feature selection ensemble security in cloud assisted vehicular ad hoc networks by C. Christy, A. Nirmala, A. Mary Odilya Teena, A. Isabella Amali

“…A multi-step approach is employed by the proposed system, with each stage dedicated to accurately detecting specific types of attacks. …”
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On-Chip Electrochemical Sensor Based on 3D Graphene Assembly Decorated Ultrafine RuCu Alloy Nanocatalyst for In Situ Detection of NO in Living Cells by Haibo Liu, Kaiyuan Yao, Min Hu, Shanting Li, Shengxiong Yang, Anshun Zhao

“…In this work, we developed 3D ionic liquid (IL) functionalized graphene assemblies (GAs) decorated by ultrafine RuCu alloy nanoparticles (RuCu-ANPs) via a one-step synthesis process, and integrated it into a microfluidic sensor chip for in situ electrochemical detection of NO released from living cells. …”
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Uniform Quantization for Multi-Antenna Amplify–Quantize–Forward Relay by Gangsan Jeong, Xianglan Jin

“…We start with theoretical analyses to determine quantization step sizes by deriving the power and mean square error of the quantized signals as functions of these step sizes. …”
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A Computational Approach to Increasing the Antenna System’s Sensitivity in a Doppler Radar Designed to Detect Human Vital Signs in the UHF-SHF Frequency Ranges by David Vatamanu, Simona Miclaus

“…In the context of Doppler radar, studies have examined the changes in the phase shift of the S₂₁ transmission coefficient related to minute movements of the human chest as a response to breathing or heartbeat. Detecting human vital signs remains a challenge, especially when obstacles interfere with the attempt to detect the presence of life. …”
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Interpretable graph methods for determining nanoparticles ordering in electron microscopy image by M.Y. Kurbakov, V.V. Sulimova, O.S. Seredin, A.V. Kopylov

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Design and Validation of a Wearable System for Enhanced Monitoring of Lower Limb Lymphedema by Sara Bernasconi, Giovanni Maria Oriolo, Giovanni Farina, Andrea Aliverti, Antonella Lomauro

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Decoding methane concentration in Alberta oil sands: A machine learning exploration by Liubov Sysoeva, Ilhem Bouderbala, Miles H. Kent, Esha Saha, B.A. Zambrano-Luna, Russell Milne, Hao Wang

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Photorealism versus photography. AI-generated depiction in the age of visual disinformation by Liv Hausken

“…Secondly, we need a conceptual distinction between two basic functions of photography: depiction and detection. …”
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LiveDrive AI: A Pilot Study of a Machine Learning-Powered Diagnostic System for Real-Time, Non-Invasive Detection of Mild Cognitive Impairment by Firas Al-Hindawi, Peter Serhan, Yonas E. Geda, Francis Tsow, Teresa Wu, Erica Forzani

“…Alzheimer’s disease (AD) represents a significant global health issue, affecting over 55 million individuals worldwide, with a progressive impact on cognitive and functional abilities. Early detection, particularly of mild cognitive impairment (MCI) as an indicator of potential AD onset, is crucial yet challenging, given the limitations of current diagnostic biomarkers and the need for non-invasive, accessible tools. …”
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EXAMINATION OF ELECTROPHYSIOLOGICAL PARAMETERS OF THE ATRIUMS IN PATIENTS WITH LONG-TERM PERSISTENT FORM OF ATRIAL FIBRILLATION AND VALVULAR HEART DISEASE by A. A. Kulikov, L. A. Bokeriya

“…Also, in 80 % of patients, relative insufficiency of the tricuspid valve was detected. Chronic heart failure functional class per NYHA was III. …”
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Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review by Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, Junaidi Abdullah, Muhammad Nazrul Islam, Md Akhtaruzzaman, Muhammad Nomani Kabir, Sarina Mansor, Hezerul Abdul Karim

“…According to the taxonomy, each deep learning model is discussed, encompassing its core functionality and a critical assessment of its suitability for imaging-based SARS-CoV-2 detection. …”
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Integration of YOLOv9 Segmentation and Monocular Depth Estimation in Thermal Imaging for Prediction of Estrus in Sows Based on Pixel Intensity Analysis by Iyad Almadani, Aaron L. Robinson, Mohammed Abuhussein

“…We propose a detailed four-step methodology coupled with two stages of evaluation. …”
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The design of paper-based electroanalytical microfluidic device coupled with post-synthesized molecularly imprinted polymers (rGO/Au@Ag2S/PANI/polyacrylamide) for the detection of... by Mina Adampourezare, Karim Asadpour-Zeynali, Miguel de la Guardia, Jafar Ezzati Nazhad Dolatabadi

“…All steps of making the MIP and non-imprinted polymer (NIP) sensors are illustrated by FE-SEM, Energy-dispersive X-ray spectroscopy (EDS), and FT-IR. …”
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Research on Wi-Fi indoor positioning technology based on knowledge graph by Jiandong LI, Jingjing YANG, Ming HUANG

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Effective extraction and detection of aflatoxins in cereals using nitrogen-rich benzodiimidazole linkage magnetic covalent organic framework based solid phase extraction and HPLC-M... by Dan Wei, Jianliang Li, Shuangshuang Zheng, Ming Guo, Jingjing Xu, Qiao Deng, Xu Wang

“…The objective of this study was to develop an efficient extraction materials for rapidly extracting and detecting AFs. A novel amino-functionalized benzodiimidazole linkage magnetic covalent organic framework (Fe3O4@BB-COF) was simply fabricated by one-step cyclization and aromatization. …”
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Surface morphology segmentation and evaluation of diamond lapping pad based on improved Mask R-CNN by Wenlong SUO, Yanfen LIN, Congfu FANG

“…ObjectivesThe surface morphology of diamond lapping pads has a direct impact on the lapping quality of hard and brittle materials such as sapphire and silicon carbide. Detecting and controlling the surface morphology of diamond lapping pads is a crucial step in improving the lapping quality. …”
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