Lightweight trust model for the detection of concealed malicious nodes in sparse wireless ad hoc networks by Nasser-Eddine Rikli, Aljawharah Alnasser

“…A sparse wireless sensor network for forest fire detection is considered. It is assumed that two types of malicious nodes can exist in this network. …”
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T2*-weighted imaging for detection of intracranial silicone oil in MRI obtained with motion correction sequences by Ryuta Yasuda, Masayuki Maeda, Kenichi Takada, Katsuhiro Inoue, Masataka Sugao, Hidenori Suzuki

“…MRI was performed with MultiVane XD due to the significant patient’s restlessness, and among all sequences including T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), fluid-attenuated inversion recovery (FLAIR) and T2*WI, only T2*WI detected intracranial silicone oil. In contrast, another MRI obtained previously with conventional turbo spin-echo detected intracranial silicone oil not only in T2*WI but also in T1WI, T2WI and FLAIR. …”
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LHB-YOLOv8: An Optimized YOLOv8 Network for Complex Background Drop Stone Detection by Anjun Yu, Hongrui Fan, Yonghua Xiong, Longsheng Wei, Jinhua She

“…Real-time detection of rockfall on slopes is an essential part of a smart worksite. …”
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Efficient Handling of Data Imbalance in Health Insurance Fraud Detection Using Meta-Reinforcement Learning by Supriya Seshagiri, K. V. Prema

“…Data imbalance is one of the major challenges in health insurance fraud detection where the distribution of classes within the dataset is significantly skewed, leading statistical models to be biased toward the dominant class. …”
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Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition by Shahrooz Khalkhali Shandiz, Hamed Khezrzadeh, Saeed Eftekhar Azam

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Detecting Invalid Associations between Fare Machines and Metro Stations Using Smart Card Data by Pengfei Zhang, Zhenliang Ma, Xiaoxiong Weng

“…Case studies using data from a metro system show that the proposed detection approach achieves over 90% accuracy in detecting the invalid associations for up to 35% invalid associations. …”
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A Facile Synthesis of Highly Nitrogen-Doped Carbon Dots for Imaging and Detection in Biological Samples by Qianchun Zhang, Siqi Xie, Yanqun Yang, Yun Wu, Xingyi Wang, Jincheng Wu, Li Zhang, Junyu Chen, Yuan Wang

“…Moreover, it was then successfully demonstrated for sensitive and selective detection of Fe3+ in serum.…”
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A Method for Detecting Overlapping Protein Complexes Based on an Adaptive Improved FCM Clustering Algorithm by Caixia Wang, Rongquan Wang, Kaiying Jiang

“…Finally, the performance of the DFPO algorithm was evaluated using multiple metrics and compared with over ten state-of-the-art protein complex detection algorithms. Experimental results indicate that the proposed DFPO algorithm exhibits improved detection accuracy compared with other algorithms.…”
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Les créoles louisianais défendent la cause du Sud à Paris (1861‑1865) by Salwa Nacouzi

“…Faced with a strong anti‑slavery sentiment, they argued that France’s interest lies in defending the South and its « Latin race » from the aggressions of the Anglo‑Saxon North.…”
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Diagnostic Performance of Deep Learning Applications in Hepatocellular Carcinoma Detection Using Computed Tomography Imaging by Enes Şahin, Ozan Can Tatar, Mehmet Eşref Ulutaş, Sertaç Ata Güler, Turgay Şimşek, Nihat Zafer Utkan, Nuh Zafer Cantürk

“…Background/Aims: Hepatocellular carcinoma (HCC) is a prevalent cancer that significantly contributes to mortality globally, primarily due to its late diagnosis. Early detection is crucial yet challenging. This study leverages the potential of deep learning (DL) technologies, employing the You Only Look Once (YOLO) architecture, to enhance the detection of HCC in computed tomography (CT) images, aiming to improve early diagnosis and thereby patient outcomes. …”
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Detection Technology of Foamed Mixture Lightweight Soil Embankment Based on Ultrasonic Wave Transmission Method by Shikun Pu, Baoning Hong, Xin Liu, Fenqiang Xu, Hao Shan

“…The results were then applied for the defect detection of the FMLS embankment. First, the ultrasonic wave velocity (UPV) and amplitude (UPA) of FMLS with different mix proportions were collected continuously from 3rd day to 45th day in the curing age. …”
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Detection and Validation of A2 Milk Suitable for Consumers Having Milk Intolerance by ELISA Method by Mediha Esra Yayla

“…In this study, the quantitative analysis and validation of β-casein A1 and A2 proteins in cow's milk by EnzymeLinked ImmunoSorbent Analysis (ELISA) method was investigated. The methods have detection limits of 1.8 and 0.8 ppm, and quantitation limits of 17 and 2.4 ppm for A1 and A2, respectively.…”
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Colorimetric Detection of Dopamine Based on Peroxidase-like Activity of β-CD Functionalized AuNPs by Sara Anderson, Hamish Shepherd, Kiran Boggavarapu, Janak Paudyal

“…Given the versatility of cyclodextrin to host large numbers of analyte molecules, we envision that a similar principle can be applied for the detection of other analyte molecules of biological, medical, and environmental significance.…”
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PCR-based methodologies for detection and characterization of Listeria monocytogenes and Listeria ivanovii in foods and environmental sources by Jin-Qiang Chen, Stephanie Healey, Patrick Regan, Pongpan Laksanalamai, Zonglin Hu

“…Specifically, we described (a) conventional PCR and mono-, duplex- and multiplex-qPCR methodologies; (b) development and applications of gene HlyA-, Iap-, PrfA – and SsrA-based conventional and qPCR assays as well as PCR assays targeting newly identified gene targets for specific detection of L. monocytogenes; differentiation of viable from dead L. monocytogenes by qPCR in conjugation with propidium monoazide pretreatment; PCR-based serotype identification of L. monocytogenes isolates; PCR-based detection of L. ivanovii, infecting ruminants, differentiation of L. monocytogenes from other Listeria species; and sigB-gene based PCR identification of Listeria spp; (c) applications of ddPCR in detection of L. monocytogenes; and (d) application of qPCR assays in detection and subtyping of L. monocytogenes in milk and dairy products; meats, meat products and meat-processing environment; and seafood, seafood products and processing environment. …”
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Cryptic transmission of a SARS-CoV-2 variant detected by wastewater surveillance in Panama by Melissa Gaitán, Yamitzel Zaldivar, Michelle Hernandez, Jessica Góndola, Oris Chavarría, Brechla Moreno, Danilo Franco, Rodrigo DeAntonio, Santiago Mirazo, Florencia Cancela, Maria Eugenia Barnett, Alexander A. Martinez, Juan Miguel Pascale, Sandra López-Vergès

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Near-Infrared Spectroscopy and Chemometrics for the Routine Detection of Bilberry Extract Adulteration and Quantitative Determination of the Anthocyanins by Claudio Gardana, Antonio Scialpi, Christian Fachechi, Paolo Simonetti

“…The FT-NIR spectroscopy is an economic, powerful, and fast methodology for the detection of adulteration and quantification of the total anthocyanin in bilberry extracts; above all, it is a rapid, low cost, and nondestructive technique for routine analysis.…”
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Fluorescent Sensors Based on Organic Polymer-Capped Gold Nanoparticles for the Detection of Cr(VI) in Water by Na Wang, Liangchen Wang, Hong Yang, Tingting Xiong, Shangping Xiao, Jiawen Zhao, Weiping Du

“…Furthermore, the quenched intensity of fluorescence could be recovered by Fe(II) ion, which provides a potential method to detect Fe(II) ions. The quenching and recovering mechanisms have also been investigated. …”
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Power Load Event Detection and Classification Based on Edge Symbol Analysis and Support Vector Machine by Lei Jiang, Jiaming Li, Suhuai Luo, Sam West, Glenn Platt

“…In power load event detection, the paper presents a new transient detection algorithm. …”
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Quantitative Detection of Financial Fraud Based on Deep Learning with Combination of E-Commerce Big Data by Jian Liu, Xin Gu, Chao Shang

“…At present, there are more and more frauds in the financial field. The detection and prevention of financial frauds are of great significance for regulating and maintaining a reasonable financial order. …”
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Detection of Manipulations in Digital Images: A Review of Passive and Active Methods Utilizing Deep Learning by Paweł Duszejko, Tomasz Walczyna, Zbigniew Piotrowski

“…Active methods, which involve embedding additional information into the image, offer precise detection and localization of changes but require complete control over creating and distributing visual materials. …”
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