Intelligent Recognition Method for Ferrography Wear Debris Images Using Improved Mask R-CNN Methods by Xiangwen Xiao, Weixuan Zhang, Qing Wang, Yuan Liu, Yishou Wang

“…The most suitable attention mechanism for wear debris detection was determined through ablation experiments. …”
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Determination of 14 Human Milk Oligosaccharides in Infant Formula Milk Powder by Hydrophilic Interaction Liquid Chromatography-Tandem Mass Spectrometry by YE Mengwei, HUANG Qian, FENG Lifeng, HUANG Yuan, CAI Xiaoming, GAO Yu, WANG Tianxi, PAN Cheng

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Wearable damaged clothing fabric image recognition system based on image restoration algorithm by Xu Li, Longlin Zhang

“…The results showed that in the COCO dataset, after 250 iterations, the WFR2S algorithm achieved a damage identification accuracy of 95.5 %, a mean absolute error of 0.011, a real-time processing speed of 30 fps, and a resource consumption of 2.4 W. …”
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Plug Valve Surface Defects Identification through Nondestructive Testing and Fuzzy Deep-Learning Algorithm for Metal Porosity and Surface Evaluation by V. Jacintha, S. Karthikeyan, P. Sivaprakasam

“…This paper addresses the detection and identification of flaws in Plug valves. …”
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Diagnosis Challenges in Adult Leukemia: Insights From a Single-Center Retrospective Study in Qatar (2016-2021) by Hesham A. B. Aboelkhir, Yousra El Alaoui MSc, Regina Padmanabhan PhD, Majed Hadid PhD, Adel Elomri PhD, Tanvir Alam PhD, Mohamed Amine Rejeb MBBS, Halima EL Omri MD, Ruba Y. Taha MD, Hesham Elsabah MD, Abdelfatteh EL Omri PhD

“…Therefore, further investigation is imperative for improving the detection, diagnosis, and referral processes in hematologic cancers.…”
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Development of Time-Reversal Method for Impact Source Identification on Plate Structures by Chunlin Chen, Yulong Li, Fuh-Gwo Yuan

“…The tradeoff between accuracy of the impact location detection and calibration spacing is studied in detail. …”
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Evaluation of Quality Control Performance of Gem Premier 4000 Using Inbuilt Intelligent Quality Management on Sigma Scale by Jayesh Warade

“…Introduction: Intelligent quality management (iQM) is an automated quality assurance system that monitors all testing processes and components and provides continuous error detection and correction. …”
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Coverage problem in camera-based sensor networks using the CUDA platform by Jae-Hyun Seo, Yourim Yoon, Yong-Hyuk Kim

“…The fitness of the evaluation, which refers to a detection rate, is calculated from the corresponding cell when a pedestrian moves to each cell depending on whether the pedestrian is detected. …”
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Study on Dicarboxylic Acids in Aerosol Samples with Capillary Electrophoresis by Heidi Adler, Heli Sirén

“…The research was performed to study the simultaneous detection of a homologous series of α, ω-dicarboxylic acids (C2–C10), oxalic, malonic, succinic, glutaric, adipic, pimelic, suberic, azelaic, and sebacic acids, with capillary electrophoresis using indirect UV detection. …”
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A Comprehensive Survey on AI in Counter-Terrorism and Cybersecurity: Challenges and Ethical Dimensions by Ioannis Syllaidopoulos, Klimis S. Ntalianis, Ioannis Salmon

“…The advanced capabilities in threat detection and mitigation brought about by the rapid development of Artificial Intelligence (AI) significantly impact the fight against terrorism and cybersecurity threats. …”
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A Parasitic Array Receiver for ISAR Imaging of Ship Targets Using a Coastal Radar by Fabrizio Santi, Debora Pastina

“…Usually, coastal radar systems are employed for the detection of vessels, whereas noncooperative ship targets as well as ships not equipped with AIS transponders can be identified by means of dedicated active radar imaging system by means of ISAR processing. …”
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Real-Time Traffic Data Analysis and Deep Learning-based Traffic Volume Classification for Congestion Mitigation at Urban Intersections by Omar Abdullah Hasan, Duraid Y. Mohammed

“…The collected data underwent analysis through signal processing techniques, followed by detection using machine learning models: Support Vector Machine (SVM), Random Forest (RF), Artificial Neural Network (ANN), Long Short-Term Memory (LSTM). …”
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Rheumatoid arthritis and bacterial infections by N L Prokopjeva, N N Vesikova, I M Marusenko, V A Ryabkov

“…So timely detection and proper sanation of infection focuses should be performed in pts with RA…”
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Dynamic changes in large-scale functional connectivity prior to stimulation determine performance in a multisensory task by Edgar E. Galindo-Leon, Karl J. Hollensteiner, Florian Pieper, Gerhard Engler, Guido Nolte, Andreas K. Engel

“…The roles that changes of power and connectivity play during these processes are still not well understood. Here, we study how fluctuations of functional cortical coupling across different brain areas determine performance in an audiovisual, lateralized detection task in the ferret. …”
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Intelligent Pattern Recognition Using Distributed Fiber Optic Sensors for Smart Environment by Brian Pamukti, Shofuro Afifah, Shien-Kuei Liaw, Jiun-Yu Sung, Daping Chu

“…Enhancing DFOS performance through advanced signal processing and deep learning techniques is crucial. …”
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An Improved DoH Traffic Classification Method for XGboost by LI Bo, WEN Xueyan, XU Kesheng, ZHAO Yonghui

“… Encrypted traffic has become the main traffic in the Internet, and its classification has always been one of the research hotspots.Aiming at the problems of accurate identification of DoH(DNS-over-HTTPS) traffic in the current network, slow processing speed and low detection efficiency, a dimension reduction method based on truncated singular value decomposition (TSVD) is proposed.Improved limit gradient boosting tree (IXGboost) with Bayesian optimization method for DoH Flow classification.This method classifies encrypted traffic into non-DOH traffic, benign DoH traffic and malicious DoH traffic by exposing data sets over the network.Experimental results show that the classification accuracy of the proposed method is more than 99%, and the processing time of each data is only 0.3ms, which proves that the proposed method has high accuracy and strong real-time performance, improves the performance of intrusion detection, and can effectively achieve accurate classification of DoH traffic.…”
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Advancing non-target analysis of emerging environmental contaminants with machine learning: Current status and future implications by Alexa Canchola, Lillian N. Tran, Wonsik Woo, Linhui Tian, Ying-Hsuan Lin, Wei-Chun Chou

“…Emerging environmental contaminants (EECs) such as pharmaceuticals, pesticides, and industrial chemicals pose significant challenges for detection and identification due to their structural diversity and lack of analytical standards. …”
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A landscape of liver cirrhosis and transplantation in Mexico: Changing leading causes and transplant as response by Icela Palma-Lara, María Guadalupe Ortiz-López, José Bonilla-Delgado, Juanita Pérez-Escobar, Ricardo Godínez-Aguilar, Claudia Luévano-Contreras, Ana María Espinosa-García, Javier Pérez-Durán, Patricia García Alonso-Themann, Manuel Nolasco-Quiroga, Javier Flores-Estrada, Paulina Carpinteyro-Espin, Daniel Juárez-Ascencio, Nayeli Goreti Nieto-Velazquez, Carmen Palacios-Reyes

“…HCV and HBV frequencies changed due to programs implementing screening detection, vaccines and direct-acting antivirals during the last years. …”
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High prevalence of resistance to macrolides and fluoroquinolones in Mycoplasma genitalium isolated from patients in two Russian megalopolises – Moscow and St. Petersburg in 2021– 2... by Edelstein I.A., Gushchin A.E., Gladin D.P., Romanov A.V., Negasheva E.S., Frigo N.V., Kozlov R.S., Potekaev N.N., Kozlova N.S., Borukhovich D.G.

“…Mutations to fluoroquinolones were detected in the parC gene in 47/185 (25%) and 73/345 (21%) samples from St. …”
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Global, Regional, and National Burden of Breast Cancer in Adolescents and Young Adults Aged 15–39 Years From 1990 to 2021 Based on the Global Burden of Disease Study 2021 by Zheng Qu, Zheng Li, Shengbin Pei, Ye Lu, Qiang Liu, Peikai Ding, Yazhe Yang, Luxiao Zhang, Jing Wang, Yi Fang

“…Understanding the trends and determinants of BC burden in AYAs is crucial for guiding preventive measures, early detection programs, and treatment strategies. The aim of this study is to systematically investigate the trends and distribution of the BC burden among AYAs aged 15–39 years across regions and countries and identify the contributing risk factors and disparities in incidence, mortality, and disability‐adjusted life years (DALYs). …”
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