Features of Plagiarism Checking in a Technical University Considering the Possibilities of Application of Generative Artificial Intelligence by Learners by L. A. Zinchenko, E. V. Rezchikova, E. A. Tarapanova

“…The analysis of plagiarism check results for texts generated by an artificial intelligence system and prepared by a methodologist was carried out. The problem of unambiguous automatic detection of the use of generative neural networks by students in the process of preparing a graduation qualification paper due to the presence of false positives was discussed. …”
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Impulse Control Problems Following Bariatric Surgery and Extrapyramidal Adverse Effects with Fluoxetine: A Case Report by Ayşe Gökçen Gündoğmuş, Kübra Sezer Katar

“…Especially when surgery is used in patients with eating disorders, different addiction problems and impulse control disorders may arise afterward. …”
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Difference Perception Fusion Network for Remote Sensing Image Change Detection by Lijing Wang, Ying Xie, Zhongda Lu, Shipeng Tian

“…Deep-learning-based methods have achieved promising results in the field of remote sensing image change detection. However, they have deficiencies in generating and utilizing difference features, which leads to inaccurate detection of changed regions with fine structures. …”
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Security anomaly detection for enterprise management network based on attention mechanism by Zhaohan You, Yucai Zheng

“…With the rapid growth of data volume in enterprise management systems and the continuous complexity of network architecture, traditional network security protection methods are no longer sufficient to fully address the security challenges. In response to the problems of insufficient accuracy and high time consumption in traditional network security anomaly detection methods, this paper proposes a detection model combining attention mechanism based spatial convolutional network and gated attention transformer (AMSCN-GADetector). …”
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A Survey of Abnormal Traffic Information Detection and Transmission Mechanisms in VSNs by Lingjuan Zhang, Deyun Gao, Chuan Heng Foh, Dong Yang, Shuai Gao

“…Finally, the challenges and problems are discussed.…”
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Stochastic algorithm for HDFS data theft detection based on MapReduce by Yuanzhao GAO, Binglong LI, Xingyuan CHEN

“…To address the problems of big data efficient analysis and insider theft detection in the data theft detection of distributed cloud computing storage,taking HDFS (hadoop distributed file system) as a case study,a stochastic algorithm for HDFS data theft detection based on MapReduce was proposed.By analyzing the MAC timestamp features of HDFS generated by folder replication,the replication behavior’s detection and measurement method was established to detect all data theft modes including insider theft.The data set which is suitable for MapReduce task partition and maintains the HDFS hierarchy was designed to achieve efficient analysis of large-volume timestamps.The experimental results show that the missed rate and the number of mislabeled folders could be kept at a low level by adopting segment detection strategy.The algorithm was proved to be efficient and had good scalability under the MapReduce framework.…”
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On Some Issues of Handprints Detection and the Mechanism of Trace Formation on Porous Surfaces by V. A. Vasil’ev, T. A. Ermakova, Yu. A. Druzhinin, I. B. Afanas’ev, T. Yu. Yudina, E. Yu. Rusanov

“…Problems of detecting sweat and grease deposits on porous surfaces are common for forensic practice, and usually, they are successfully resolved with the help of chemical methods. …”
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Skin cancer detection using dermoscopic images with convolutional neural network by Khadija Nawaz, Atika Zanib, Iqra Shabir, Jianqiang Li, Yu Wang, Tariq Mahmood, Amjad Rehman

“…Abstract Skin malignant melanoma is a high-risk tumor with low incidence but high mortality rates. Early detection and treatment are crucial for a cure. Machine learning studies have focused on classifying melanoma tumors, but these methods are cumbersome and fail to extract deeper features. …”
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A Universal Tire Detection Method Based on Improved YOLOv8 by Chi Guo, Mingxia Chen, Junjie Wu, Haipeng Hu, Luobing Huang, Junjie Li

“…However, traditional methods of tire defect detection have encountered problems such as slow detection speed, complex tire defect backgrounds, and limited hardware resources. …”
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Early surface crack detection and localization in structures: an artificial intelligence approach by Biswarup Yogi, Sourav Kumar Das, Soham Modak, Aritra Biswas, Satyabrata Roy

“…Traditional inspection methods are slow, risky and require a lot of manual effort. These problems are worse for tall or sloped roofs. This paper presents an automatic method for detecting and locating roof cracks. …”
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Longitudinal tear detection system for belt conveyor based on deep learning by Zhiqiang YU, Xiangsheng PAN, Wei JIANG

“…In response to the common problems faced by belt conveyors in the field of longitudinal tear detection, such as high missed detection rate, frequent false alarms, and insufficient intelligence level, we develop an intelligent detection system for longitudinal tearing of strip surfaces that integrates machine vision and line laser technology. …”
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Research on Vertical Shaft Detection System Based on CMOS-Camera and Lidar by Chi Ma, Samsil Arefin Mozumder, Md Mahbub Hossen, Manman Shao, Yuqiang Jiang

“…The research starts by defining the essential features required for the shaft detection system, like data acquisition system, data transmission, and data processing. …”
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GES: A New Building Damage Data Augmentation and Detection Method Based on Extremely Imbalanced Data and Unique Spatial Distribution of Satellite Images by Xiaopeng Sha, Zhoupeng Guo, Xinqi Sang, Shuyu Wang, Yuliang Zhao

“…The statistics of damaged buildings after natural disasters are crucial for rescue operations, especially for damaged buildings that are extremely challenging for object detection. There are unique spatial distribution problems in the existing damaged building datasets, and different categories of building targets show obvious imbalance, especially when the proportion of damaged buildings is less than 0.15%. …”
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Automatic Extraction of Water Body from SAR Images Considering Enhanced Feature Fusion and Noise Suppression by Meijun Gao, Wenjie Dong, Lifu Chen, Zhongwu Wu

“…To address these problems, we propose the Global Context Attention Feature Fusion Network (GCAFF-Net) in this article. …”
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Enhanced intrusion detection model based on principal component analysis and variable ensemble machine learning algorithm by Ayuba John, Ismail Fauzi Bin Isnin, Syed Hamid Hussain Madni, Farkhana Binti Muchtar

“…Several IDS models have various security problems, such as low detection accuracy and high false alarms, which can be caused by the network traffic dataset's excessive dimensionality and class imbalance in the creation of IDS models. …”
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Research on Target-detection and Tracking of Intelligent Mine Trucks in Open-pit Mines by LI Yuanzhengyu, HU Yunqing, LONG Teng, HUANG Wenyu, PAN Wenbo, LI Peijie

“…Among them, feature extraction module uses point cloud gradient and distance feature extraction methods to solve the point cloud segmentation problem of small and irregular-shaped obstacles in changing scenes; target tracking module constructs track information for multi-target tracking, which improves the stability of target tracking; an asynchronous fusion strategy of multi-source sensors is designed for heterogeneous sensor fusion module, which overcomes the problem of heterogeneous sensor fusion, and improves the detection and tracking capabilities of small and various targets in unpaved road and dusty environment of open-pit mines. …”
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FEATURES OF THE USE OF MOBILE COMMUNICATION IN THE STUDENT ENVIRONMENT / ОСОБЕННОСТИ ИСПОЛЬЗОВАНИЯ МОБИЛЬНОЙ СВЯЗИ В СТУДЕНЧЕСКОЙ СРЕДЕ... by SHARIKOV ALEXANDER V . / ШАРИКОВ А.В., EROFEEV SERGEI V. / ЕРОФЕЕВ С.В.

“…In all cases, four stages of socio-cultural adaptation of information and communication innovations in relationship with young people are mentioned: 1) attempts to understand new media as a means of learning; 2) detection and study of problem areas created by new media in relations with the young generation; 3) development of “counteractions” against arising negative phenomenon at the level of the introduction of legal norms and attempts to organize ethical self-regulation of new branches in the media industry; 4) introduction of aspects of “new literacy” as elements of education in terms of information literacy, media literacy, digital literacy, mobile literacy, etc. …”
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Nosocomial <i>Klebsiella pneumoniae</i> infection in a cardiac surgery hospital: clinical and microbiological features by M. V. Kuznetsova, V. S. Mihailovskaya, L. G. Kudryavtseva, V. I. Sergevnin

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Circuit Breaker Energy Storage State Identification Based on Quick Extraction of Vibration Signal Interval Features by Xiaofei XIA, Yufeng LU, Yi SU, Jian YANG

“…The vibration signal based circuit breaker faults diagnosis has the problem of time-consuming in feature extraction and poor real-time, which makes the method inapplicable to on-line monitoring. …”
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A novel motion key frame extraction and video stream classification based on reinforcement learning and feature fusion by Hongbo Cui, Tao Feng, Jinhui Zheng

“…In order to solve the problem of missing detection and false detection caused by the inaccuracy of motion feature extraction in the existing video key frame extraction algorithms, a reinforcement learning and feature fusion for key frame extraction algorithm and video stream classification is proposed. …”
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