Implementation and performance barriers in Iran’s breast cancer screening program: a qualitative case study by Arezoo Jabbari, Zhila Najafpour, Sima Ourang, Somayeh Loveimi, Reyhane Bohrani, Mahsa Baymani

“…IntroductionCancer screening programs (CSPs) are essential for early detection and improving survival rates; however, they often encounter barriers to effective implementation. …”
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Obfuscated malicious traffic detection based on data enhancement by Ke Ye, Tao Zeng, Yubing Duan, Jun Han, Guoxin Zhong, Zhi Chen, Yulong Wang

“…In this study, we propose a novel encrypted malicious traffic detection method named RobustDetector (RD) for obfuscated malicious traffic detection. …”
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Turbidity Method for Detecting Mud Content in Base Sand by MA Xu-liang, LIU Ze-yu, LI Da-yong

“…The mud content is one of the important characterization parameters of the quality of the base sand.It affects the quality of castings by its effects on the mold sand，in which base sand is the aggregate. At present， the detection of mud content in base sand is mainly based on the national standard detection method，and the operation process is cumbersome and time-consuming，so it is not suitable for on-site inspection in sand mixing shop. …”
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LSTM and TCN application for airport surface distress detection by Ludek Cicmanec, Adam Kubica, Jiri Maslan

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Targeted biosensors for intracellular lipid droplet content detection by Shengdong Li

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Applying a Parameterized Quantum Circuit to Anomaly Detection by Jehn-Ruey Jiang, Jyun-Sian Li

“…In this study, a parameterized quantum circuit (PQC) is applied for anomaly detection, a crucial process to identify unusual patterns or outliers in data. …”
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A Survey on Obstacle Detection and Avoidance Methods for UAVs by Ahmad Merei, Hamid Mcheick, Alia Ghaddar, Djamal Rebaine

“…Additionally, this paper includes a process addressing obstacle detection and avoidance and reviews the evolution of obstacle detection and avoidance (ODA) techniques in UAVs over the past decade.…”
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Fake News Detection using the Random Forest Algorithm by Rahmat Dipo Setyadin, Reza Handaru Winasis, Gandung Triyono

“…Detecting fake news has become increasingly important in the digital era, where false information can spread rapidly and significantly influence public opinion. …”
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Psychophysiological indexes in the detection of deception: A systematic review by Gianmarco Convertino, Jessica Talbot, Giuliana Mazzoni

“…Specific changes in other physiological activities (i.e., heart rate, skin temperature, motor excitability) also seem to be differently associated with the detection of deception. This review suggests that detecting deception should be considered a complex decision-making process and indicates that specific physiological activity is present across different types of deceptive stimuli. …”
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A survey of intrusion detection on industrial control systems by Yan Hu, An Yang, Hong Li, Yuyan Sun, Limin Sun

“…After that, we present a new taxonomy of intrusion detection systems for industrial control systems based on different techniques: protocol analysis based, traffic mining based, and control process analysis based. …”
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An electrochemical approach for tryptophan detection that regulates the kynurenine pathway by Pavithra Narasimhappa, Praveen C. Ramamurthy

“…Abstract An electrochemical sensor for detecting tryptophan (Trp) was developed through the electro-polymerization of a phenazinium chloride derivative/safranin (SA) on both a glassy carbon electrode (GCE) and a screen-printed electrode (SPE). …”
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ENHANCING EXPLAINABILITY IN DEEPFAKE DETECTION WITH GRAPH ATTENTION NETWORKS by Aleksandr S. Pikul, Ilya Yu. Popov

“…Using attention mechanisms, the model highlights which parts of the face influenced its decision, making the process easier to understand. It’s compares two versions of the model, GATv1 and GATv2, and show how both create clear visual explanations while still performing well in detecting deepfakes. …”
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Online Face Detection and Recognition in a Video Stream by Maha Hasso Al-Ghurery, Manar Zidan Al-Abaji

“…Faces detection and recognition process received considerable attention during the past decade, it is still considered one of the most important studies in the field of Image Processing, Pattern Recognition, and Computer Vision, where it drew the attention of many researchers from both the academic and industrial environments because of the broad scope of its practical applications. …”
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Trust-Based Anomaly Detection in Emerging Sensor Networks by Renyong Wu, Xue Deng, Rongxing Lu, Xuemin (Sherman) Shen

“…In addition, to accelerate the detection process, a weighting judgment mechanism is adopted to deal with the uncertain states of evaluated nodes. …”
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Detection of polysaccharides from local algae in fresh water by Nawras Al-Rikabi, Roa'a Jaafar Khairallah

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Challenges in Implementing Artificial Intelligence in Breast Cancer Screening Programs: Systematic Review and Framework for Safe Adoption by Serene Goh, Rachel Sze Jen Goh, Bryan Chong, Qin Xiang Ng, Gerald Choon Huat Koh, Kee Yuan Ngiam, Mikael Hartman

“…Original studies evaluating AI in breast cancer detection or discussing challenges related to AI implementation in this setting were eligible for review. …”
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Simulation Modeling of Oral Cancer Development with Risk Stratification: How Potential Screening Programs Can Be Evaluated by Mutita Siriruchatanon, Emily R. Brooks, Alexander R. Kerr, Denise M. Laronde, Miriam P. Rosin, Stella K. Kang

“…A barrier to early-stage oral cavity cancer detection is the lack of a defined population and screening regimen satisfying risk–benefit considerations. …”
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Single-cell and bulk transcriptome profiling reveals RNA-binding protein regulatory programs in cervical cancer by Shasha Yang, Jingjing Zeng, Yong Wang, Yudi Tan, Li Yu, Jinkong Wei, Yuying Wei, Yuxuan Jin, Junying Chen

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Machine vision model for drip leakage detection of pipeline. by Cong Xiao, Yiyuan Zhou, Yanwen Wu, Guodong Zhang

“…The system designed to collect the image of the droplet side cross-section with a Charge charge-coupled device (CCD) industrial camera, is aided by the computer image processing system used to analyze and process the collected images. …”
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DETECTION OF CURRENT CIRCUITS FAULT FOR DIFFERENTIAL CURRENT PROTECTION by M. S. Loman, V. S. Kachenya

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