Optimal Partitioning of Unbalanced Datasets for BGP Anomaly Detection by Rahul Deo Verma, Pankaj Kumar Keserwani, Vinesh Kumar Jain, Mahesh Chandra Govil, M. W. P. Maduranga, Valmik Tilwari

“…Maintaining the security and robustness of the Internet anomaly detection in Border Gateway Protocol (BGP) traffic is very important so that stable routing services can be ensured. …”
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An Ensemble of Convolutional Neural Networks for Sound Event Detection by Abdinabi Mukhamadiyev, Ilyos Khujayarov, Dilorom Nabieva, Jinsoo Cho

“…Sound event detection tasks are rapidly advancing in the field of pattern recognition, and deep learning methods are particularly well suited for such tasks. …”
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Advances in machine learning for the detection and characterization of microplastics in the environment by M. Maksuda Khanam, M. Khabir Uddin, Julhash U. Kazi

“…Recent advances in machine learning (ML) have revolutionized the field of microplastic research by automating and enhancing detection processes. In particular, algorithms such as support vector machines, random forests, and convolutional neural networks have demonstrated considerable success in classifying microplastics based on chemical signatures and visual characteristics. …”
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Deep learning for automated encrustation detection in sewer inspection by Wasiu Yusuf, Hafiz Alaka, Mubashir Ahmad, Wusu Godoyon, Saheed Ajayi, Luqman Olalekan Toriola-Coker, Abdullahi Ahmed

“…This study presents a pioneering deep-learning approach to detect encrustation in sewers by leveraging survey videos from 14 different sewers in the United Kingdom. …”
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Neutrinos from Carbon-burning Red Supergiants and Their Detectability by Gwangeon Seong, Kyujin Kwak, Dongsu Ryu, Bok-Kyun Shin

“…Stars emit megaelectronvolt neutrinos during their evolution via nuclear syntheses and thermal processes, and detecting them could provide insights into stellar structure beyond what is accessible through electromagnetic wave observations. …”
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Research Advances in Underground Bamboo Shoot Detection Methods by Wen Li, Qiong Shao, Fan Guo, Fangyuan Bian, Huimin Yang

“…Underground winter bamboo shoots, prized for their high nutritional value and economic significance, face harvesting challenges owing to inefficient manual methods and the lack of specialized detection technologies. This review systematically evaluates current detection approaches, including manual harvesting, microwave detection, resistivity methods, and biomimetic techniques. …”
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Comparison of survey techniques on detection of northern flying squirrels by Corinne A. Diggins, L. Michelle Gilley, Christine A. Kelly, W. Mark Ford

“…We compared techniques by assessing probability of detection (POD), latency to detection (LTD; i.e., no. of survey nights until initial detection), and survey effort. …”
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A Ratiometric Fluorescent Detection Platform Using G‐CDs@[Ru(bpy)3]2+ for the Specific Detection of Hypochlorite and Live Cell Imaging by Mingcong Rong, Zheng He, Danru Wang, Jiahao Zeng, Qian Liu, Li Niu

“…Abstract Hypochlorite (ClO−), an essential reactive oxygen species (ROS) in physiological processes, is identified to be closely connected with oxidative stress and related diseases. …”
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Multi-Channel Replay Speech Detection Using an Adaptive Learnable Beamformer by Michael Neri, Tuomas Virtanen

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A Brain-inspired Multi-Detector Machine for Fake Speech Detection by Chang Feng, Xiaolong Wu, Mingxing Xu, Thomas Fang Zheng

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Privacy-Oriented Successive Approximation Image Position Follower Processing by Ying Miao, Danyang Shao, Zhimin Yan

“…To solve the detection problem of moving the human body in the dynamic background, the motion target detection module integrates the two ideas of feature information detection and human body model segmentation detection and combines the deep learning framework to complete the detection of the human body by detecting the feature points of key parts of the human body. …”
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Method of Monitoring Correctness of Execution of Processes in Operating Systems by Control of Dimensional Systems of Variables by Vladimir Abramov, Danila Puchkin

“…Detection of disruptions by the method can be executed regardless of reasons of a process execution disruption. …”
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An AI-based framework for improving efficiency and fairness in the interview process by Mohannad Taman, Yahia Khaled, Dalia Sobhy

“…This paper presents InstaJob, an AI-powered framework designed to improve efficiency and fairness in the hiring process. It uses deep learning models for face emotion detection, text emotion analysis, and filler word detection in interviews to evaluate candidates’ soft skills, ensuring unbiased assessments. …”
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Research on Classification of Rail Defects Based on Image Processing Algorithm by Mengying HUANG, Jiangping LUO, Wenxing WANG, Jingwei CAO

“…Even for the same type of defect, there are differences in the B-Scan images of the ultrasonic rail defect detection software. When the B-Scan image of a certain type of defect changes over a certain range, the detection software cannot identify this type of defect. …”
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A Poisson Process AutoDecoder for X-Ray Sources by Yanke Song, V. Ashley Villar, Rafael Martínez-Galarza, Steven Dillmann

“…The arrival of photons as a function of time follows a Poisson process and can vary by orders-of-magnitude, presenting obstacles for common tasks such as source classification, physical property derivation, and anomaly detection. …”
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Brain Signals of Face Processing as Revealed by Event-Related Potentials by Ela I. Olivares, Jaime Iglesias, Cristina Saavedra, Nelson J. Trujillo-Barreto, Mitchell Valdés-Sosa

“…We analyze the functional significance of different event-related potentials (ERPs) as electrophysiological indices of face perception and face recognition, according to cognitive and neurofunctional models of face processing. Initially, the processing of faces seems to be supported by early extrastriate occipital cortices and revealed by modulations of the occipital P1. …”
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Integrated Platform for Bio-Image Processing and Identification of Cervical Cancer by Larisa-Dalina LAZĂR, Diogen BABUC, Todor IVAŞCU

“…To address these limitations, our study presents a comprehensive platform for bio-image processing and early diagnosis of cervical cancer, employing advanced machine learning and deep learning techniques. …”
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Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing by Guoce Yang, Mengyun Wang, June Sang Lee, Nikolaos Farmakidis, Joe Shields, Carlota Ruiz de Galarreta, Stuart Kendall, Jacopo Bertolotti, Andriy Moskalenko, Kairan Huang, Andrea Alù, C. David Wright, Harish Bhaskaran

“…Abstract The next generation of smart imaging and vision systems will require compact and tunable optical computing hardware to perform high-speed and low-power image processing. These requirements are driving the development of computing metasurfaces to realize efficient front-end analog optical pre-processors, especially for edge detection capability. …”
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Application of video analytics to monitor and improve the safety of technological processes by Konstantin V. Chumakov

“…The paper describes the key artificial intelligence algorithms used to process and interpret the video data stream.…”
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Algorithm for Processing X-ray Images Using Fuzzy Logic by A. S. Mannaa

“…The operation of an improved Gaussian filter designed for processing X-ray images is described. The modified method of knee bone X-ray analysis includes the development of an algorithm for automatic detection of structures and anomalies in knee joints, determination and measurement of anatomical parameters, assessment of the degree of damage, etc. …”
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