Retracted: Multimedia Detection and Processing of Remote-Sensing Image of Small Target Combined with Variable Neighborhood Search Algorithm by Advances in Multimedia

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Detection of Crack Sealant in the Pretreatment Process of Hot In-Place Recycling of Asphalt Pavement via Deep Learning Method by Kai Zhao, Tianzhen Liu, Xu Xia, Yongli Zhao

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A Hardware Accelerator for Real-Time Processing Platforms Used in Synthetic Aperture Radar Target Detection Tasks by Yue Zhang, Yunshan Tang, Yue Cao, Zhongjun Yu

“…By utilizing deep convolutional neural networks (CNNs) and other techniques, these algorithms can effectively identify and locate targets in SAR images, thereby improving the accuracy and efficiency of detection. In recent years, achieving real-time monitoring of regions has become a pressing need, leading to the direct completion of real-time SAR image target detection on airborne or satellite-borne real-time processing platforms. …”
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The Complex Alarming Event Detecting and Disposal Processing Approach for Coal Mine Safety Using Wireless Sensor Network by Cheng Bo, Zhou Peng, Zhu Da, Chen Junliang

“…This paper proposed a real-time complex alarming event detecting and disposal processing approach for coal mine safety using wireless sensor network. …”
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Partial Discharge Fault Detection of Substation GIS Based on CEEMDAN Fusion Processing Algorithm of Multi‐Frequency Signals by Yuan Sun, Hao Xie, Li Chang

“…Therefore, a partial discharge fault detection method for substation GIS based on multi‐frequency signal CEEMDAN fusion processing algorithm is proposed. …”
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Automated Tomato Leaf Disease Detection Using Image Processing: An SVM-Based Approach with GLCM and SIFT Features by Rashid Khan, Nasir Ud Din, Asim Zaman, Bingding Huang

“…To support specialists in accurately identifying and managing these diseases, we propose an advanced automatic system for detecting and identifying tomato leaf diseases using sophisticated image processing techniques. …”
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Differential volatile signatures from skin, naevi and melanoma: a novel approach to detect a pathological process. by Tatjana Abaffy, Robert Duncan, Daniel D Riemer, Olaf Tietje, George Elgart, Clara Milikowski, R Anthony DeFazio

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Early detection and population dynamics of Listeria monocytogenes in naturally contaminated drains from a meat processing plant by Annette Fagerlund, Trond Møretrø, Merete Rusås Jensen, Solveig Langsrud, Birgitte Moen

“…Listeria monocytogenes, a significant foodborne pathogen, often contaminates ready-to-eat foods through cross-contamination in food processing environments, and floor drains represent one of the most common sites of persistence. …”
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Bead beating demonstrates enhanced bacterial detection in kidney stone culture compared to traditional mortar-pestle processing by Tyler A. On, Farhan Anwar, Austin L. Chien, Chiu-Hsieh Hsu, Gayatri Vedantam, William D. Lainhart, David T. Tzou

“…Further studies should evaluate the clinical implications of these findings and determine whether BB-based stone culture processing and subsequent culture results correlate with postoperative infection outcomes.IMPORTANCEThis study provides a rapid and standardized method for kidney stone culture using bead beating, which significantly improves microbial detection compared to traditional mortar-pestle techniques. …”
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Detection and Analysis of Man-Machine Interactive Software Vulnerabilities Based on Ultrasonic Data Acquisition and Signal Processing Algorithms by Lei Zhao

“…The simulation experiment results prove that the ultrasonic data acquisition and signal processing algorithms are effective and can support the detection and analysis of man-machine interactive software vulnerabilities.…”
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Retraction: The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning. by PLOS One Editors

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Detection of porcine species DNA on meat processed food samples (shredded meat) using Real-Time PCR by Alfi Sophian, Sri Utaminingsih, Tirta Setya Bhakti, Dewi Rahmawati

“…DNA detection of porcine species in processed meat samples (shredded meat) was carried out as an effort to enrich the literature and reference alternative testing methods in the control of halal products circulating in Indonesia. …”
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USING SUPPORT VECTORS TO BUILD A RULE-BASED SYSTEM FOR DETECTING MALICIOUS PROCESSES IN AN ORGANISATION'S NETWORK TRAFFIC by Halyna Haidur, Sergii Gakhov, Dmytro Hamza

“… The growing complexity and sophistication of cyberattacks on organisational information resources and the variety of malware processes in unprotected networks necessitate the development of advanced methods for detecting malicious processes in network traffic. …”
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Comprehensive Framework for Leak Detection in Water Distribution Systems: A Vibration Signal Processing and Machine LEARNING Approach by Hayder Wthaij, Ajeel Al Ghasheem

Subjects: “…Pipeline leak detection, Vibration signal processing, Machine learning, Random Forest…”
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Optimizing Heart-Kidney Interaction for Cancer Detection Through Physiological Process Simulation as a Decision Support System by Najmeh Sadat Jaddi, Salwani Abdullah, Zalinda Othman, Yazrina Yahya, Mohd Zakree Ahmad Nazri, Say Leng Goh, Fatemeh Alvankarian, Jafar Alvankarian

“…The heart-kidney (HK) model proposed in this paper, as a DSS, simulates the physiological processes of the heart and kidneys in the human body to support cancer detection. …”
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Updates on lung cancer screening for early detection by Se Hyun Kwak, Chi Young Kim, Sang Hoon Lee, Eun Young Kim, Eun Hye Lee, Yoon Soo Chang

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Construction of Countably Infinite Programs That Evade Malware/Non-Malware Classification for Any Given Formal System by Vasiliki Liagkou, Panagiotis E. Nastou, Paul Spirakis, Yannis C. Stamatiou

“…Moreover, infinitely many of these programs are, indeed, malware programs which evade the detection powers of the given formal system.…”
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Understanding biological motion through the lens of animate motion processing by Li Shen, Li Shen, Xinlin Yang, Xinlin Yang, Yi Jiang, Yi Jiang, Ying Wang, Ying Wang

“…Addressing these gaps will help establish a framework for understanding BM through the lens of animate motion processing. This approach will offer deeper insights into how the life detection system hardwired in the vertebrate brain distinguishes animate from inanimate motion, further uncovering its broader cognitive and evolutionary implications.…”
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gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection by Vincent Runge, Toby Dylan Hocking, Gaetano Romano, Fatemeh Afghah, Paul Fearnhead, Guillem Rigaill

Subjects: “…change-point detection…”
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YOLO-Type Neural Networks in the Process of Adapting Mathematical Graphs to the Needs of the Blind by Mateusz Kawulok, Michał Maćkowski

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