Simultaneous Detection and Estimation of Catechol, Hydroquinone, and Resorcinol in Binary and Ternary Mixtures Using Electrochemical Techniques by Md. Uzzal Hossain, Md. Toufiqur Rahman, Md. Qamrul Ehsan

“…This resolving ability of PGA modified GCE proves its potential to be exploited as an electrochemical sensor for the simultaneous detection of these isomers.…”
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Hazard assessment for a pharmaceutical mixture detected in the upper Tennessee River using Daphnia magna by D. Wolfe, M. Schorr, M. Hanson, C.H. Nelson, S.M. Richards

“…The LOEC of the 11- pharmaceutical mixture was determined to be 100x greater than the measured mixture concentration detected in the Tennessee River, with the NOEC being 75x that of the measured mixture.  …”
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Used High Collimation UV-LEDs With a Miniaturized Optomechanical Device for the Detection of Direct Bilirubin by Zhi Ting Ye, Shen Fu Tseng, Jun Yi Wu, Hsin Ching Kuo

“…Therefore, this study proposed a non-invasive method, using high collimation ultraviolet-light-emitting diodes (HC UV-LEDs) as the light source to design a miniaturized optomechanical device (MOD) for direct bilirubin detection in urine. The designed MOD was used to analyze different concentrations of direct bilirubin using its absorbance spectrum to achieve a non-invasive detection method. …”
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Detection of the effect of cloud microphysical structure on precipitation in Khuzestan province using MODIS cloud products by danesh nasiri, reza borna, Manijeh Zohourian Pordel

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A pilot study on diabetes detection using handheld fundus camera and mobile app development by Hamada R. H. Al-Absi, Gilbert Njihia Muchori, Saleh Musleh, Syed Abdullah Basit, Mohammad Tariqul Islam, Younss Ait Mou, Tanvir Alam

“…Currently, the HbA1c test is the gold standard for the detection of diabetes with high confidence. But this is an invasive, expensive pathology test. …”
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A Fusion Method of Gabor Wavelet Transform and Unsupervised Clustering Algorithms for Tissue Edge Detection by Burhan Ergen

“…This paper proposes two edge detection methods for medical images by integrating the advantages of Gabor wavelet transform (GWT) and unsupervised clustering algorithms. …”
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A Moving Object Detection Method Using Deep Learning-Based Wireless Sensor Networks by Linghua Zhao, Zhihua Huang

“…Aiming at the problem of real-time detection and location of moving objects, the deep learning algorithm is used to detect moving objects in complex situations. …”
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Drawing-Aware Parkinson’s Disease Detection Through Hierarchical Deep Learning Models by Ioannis Kansizoglou, Konstantinos A. Tsintotas, Daniel Bratanov, Antonios Gasteratos

“…To tackle the above problem, an efficient hierarchical scheme based on simpler DL models is proposed for early PD detection. This way, we deliver a more transparent and efficient solution for PD detection from HW records. …”
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DETECTING WEB-BASED BOTNETS USING A WEB PROXY AND A CONVOLUTIONAL NEURAL NETWORK by Trần Đắc Tốt, Phạm Tuấn Khiêm, Phạm Nguyễn Huy Phương

“…Botnets are increasingly becoming the most dangerous threats in the field of network security, and many different approaches to detecting attacks from botnets have been studied. Whatever approach is used, the evolution of the botnet's nature and the set of defined rules for detecting botnets can affect the performance of botnet detection systems. …”
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Magnetic Source Detection Using an Array of Planar Hall Effect Sensors and Machine Learning Algorithms by Miki Vizel, Roger Alimi, Daniel Lahav, Moty Schultz, Asaf Grosz, Lior Klein

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Ensemble of feature augmented convolutional neural network and deep autoencoder for efficient detection of network attacks by Selvakumar B, Sivaanandh M, Muneeswaran K, Lakshmanan B

“…Abstract Network traffic must be monitored and analyzed for any abnormal activity in order to detect intrusions and to notify administrators of any attacks. …”
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Research on on-site real-time detection technology of transmission line pulling force based on sensors by Yang Shibiao, Zhong Yu, Huang Lei, Yuan Xing

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Application of Extension Theory with Chaotic Signal Synchronization on Detecting Islanding Effect of Photovoltaic Power System by Meng-Hui Wang, Mei-Ling Huang, Kang-Jian Liou

“…The detection of islanding effect is a highly important topic for photovoltaic (PV) power system. …”
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Effects of image compression on face image manipulation detection: A case study on facial retouching by Christian Rathgeb, Kevin Bernardo, Nathania E. Haryanto, Christoph Busch

“…Abstract Numerous methods have been introduced to reliably detect digital face image manipulations in the past. …”
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Enhancing misogyny detection in bilingual texts using explainable AI and multilingual fine-tuned transformers by Ehtesham Hashmi, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, Mohib Ullah

“…This study addresses the challenge of detecting misogynous content in bilingual (English and Italian) online communications. …”
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Prenatal genetic detection in foetus with gallbladder size anomalies: cohort study and systematic review of the literature by Yimo Zeng, Rong Hu, Jian Lu, Yiming Qi, Dan Chen, Chaoxiang Yang, Jing Wu

“…Additionally, three pathogenic single-nucleotide variants (SNVs) were detected through WES. Foetuses with non-isolated GB size anomalies showed a higher rate of detecting genetic abnormalities compared to those with isolated GB size anomalies, with a significant difference in statistical analysis (13.2% vs. 3.3%, p = .033, Chi-square test). …”
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Standoff Methods for the Detection of Threat Agents: A Review of Several Promising Laser-Based Techniques by J. Bruce Johnson, Susan D. Allen, Jonathan Merten, Lewis Johnson, Daniel Pinkham, Scott W. Reeve

“…Detection of explosives, explosive precursors, or other threat agents presents a number of technological challenges for optical sensing methods. …”
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Hierarchical Deep Learning for Bearing Fault Detection in BLDC Motors Using Time-Frequency Analysis by Ahmed K. Ali, Wathiq Rafa Abed

“…We tested the proposed HTFICNN with data from BLDC motors and found that it works better than other deep learning models to detect bearing faults. Moreover, this work contributes to the advancement of fault diagnosis and predictive maintenance for BLDC motors, with potential applications in other fault detection scenarios.…”
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A Lightweight Network for Ship Detection in SAR Images Based on Edge Feature Aware and Fusion by Yuming Li, Jin Liu, Xingye Li, Xiliang Zhang, Zhongdai Wu, Bing Han

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Pathogenic potential of ornithogenic <i>Escherichia coli</i> strains detected in the Earth's polar regions by Batyrbek I. Aslanov, Daniil V. Azarov, Maria A. Makarova, Elizaveta G. Marysheva, Lyudmila A. Kraeva, Aleksey S. Mokhov, Ekaterina A. Lebedeva, Nikita E. Goncharov, Natalya V. Lebedeva, Dmitry A. Starikov, Victoria V. Kolodzhieva, Dmitry E. Polev, Artemy E. Goncharov

“…One of the Arctic strains (33-1) had determinants of antibiotic resistance, in particular the extended-spectrum beta-lactamase gene TEM-1b and the Tn1721 transposon, including tetracycline resistance genes (tetA-TetR), were detected in its genome. Conclusion. The results of the study indicate the circulation of E. coli strains with strong pathogenic potential in high-latitude Arctic and Antarctic ornithogenic ecosystems. …”
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