Application of machine learning methods for automated detection of network intrusions by M. V. Babicheva, I. A. Tretyakov

“…Development of automated network attack detection systems capable of adapting to the ever-changing nature of network attacks and new types of threats. …”
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SSCANL decoder based joint iterative detection and decoding algorithm by Chongyang LIU, Rui GUO

“…In order to improve the receiver performance of the sparse code multiple access (SCMA) system based on polar codes, the cyclic redundancy check (CRC) aided joint iterative detection and decoding receiver scheme based on simplify soft cancellation list (SSCANL) decoder (C-JIDD-SSCANL) was proposed.A polar code decoder in the C-JIDD-SSCANL receiver used the SSCANL algorithm.In this algorithm, decoding node deletion technology was used to simplify L times of soft cancellation (SCAN) decoding required by soft cancellation list (SCANL) algorithm by deleting frozen bit nodes, then the computational process of soft information update between nodes was simplified, and the computational complexity of decoding algorithm was reduced.The simulation results show that the SSCANL algorithm can obtain the same performance as the SCANL algorithm, and its computational complexity is reduced compared with the SCANL algorithm.Compared with the joint iterative detection and decoding scheme based on SCAN decoder (JIDD-SCAN) and the CRC aided joint iterative detection and decoding scheme based on SCAN decoder (C-JIDD-SCAN), the performance of C-JIDD-SSCANL receiver scheme based on SSCANL decoder is improved by about 0.65 dB and 0.59 dB respectively when the bit error rate is 10^-4.…”
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Enhancing Weakly-Supervised Video Anomaly Detection With Temporal Constraints by Francisco Caetano, Pedro Carvalho, Christina Mastralexi, Jaime S. Cardoso

“…Anomaly Detection has been a significant field in Machine Learning since it began gaining traction. …”
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Progress in Nondestructive Detection Techniques for Internal Defects of Agro-products by Rong PENG, Zhenzhen LÜ, Xuan LUO, Wen ZHANG

“…Internal defects can easily develop during the growth process of agro-products, significantly affecting their economic value. …”
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Community Detection in Social Network Based on Node Influence Expansion by YANG Hailu, ZHAO Xin, CHEN Chen, WANG Lili

“…Finally, to finish the process of community detection, dynamic programming is employed for seed expansion.The results of the experiments reveal that community detection based on node influence expansion can effectively discover the community structure with small granularity and has certain performance advantages in modularity, D-score, and other indicators.…”
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Impedance Spectrum Measurement and Fault Detection for XLPE Coaxial Cables by LIU Chunqi, LI Shufeng, HUANG Yu, CHEN Dongsheng

“… XLPE coaxial cables are prone to faults and defects in the process of power transmission, seriously jeopardizing the safe operation of the power system. …”
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Prediction of Wafer Performance: Use of Functional Outlier Detection and Regression by Kyusoon Kim, Seunghee Oh, Kiwook Bae, Hee-Seok Oh

“…Optical emission spectroscopy (OES) data is essential for virtual metrology, enabling accurate predictions of wafer performance in plasma etching processes. This approach not only reduces the need for physical measurements of product quality, leading to significant resource savings, but also supports improved decision-making, particularly in process control and quality assurance. …”
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Design and Analysis of an Expert System for the Detection and Recognition of Criminal Faces by Rishi Gupta, Amit Kumar Gupta, Deepak Panwar, Ashish Jain, Partha Chakraborty

“…The process of identifying a person using their facial traits is referred to as face recognition, and it is a form of biometric identification. …”
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Comparison of Various Feature Extractors and Classifiers in Wood Defect Detection by Kenan Kiliç, Kazım Kiliç, İbrahim Alper Doğru, Uğur Özcan

“…Detection of defects on wood during quality processes in the wood industry is extremely important both economically and in terms of production and use. …”
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AI-driven epidemic intelligence: the future of outbreak detection and response by Jasleen Kaur, Jasleen Kaur, Zahid Ahmad Butt

“…Epidemic intelligence, the process of detecting, verifying, and analyzing public health threats to enable timely responses, traditionally relies heavily on manual reporting and structured data, often causing delays and coverage gaps. …”
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Detecting House of Spirit Attacks by Glibc Heap Information Extraction by ZHAI Jiqiang, WANG Jiaqian, HAN Xu, SUN Haixu

“…The experimental results show that this method can effectively extract the heap information in the memory of the Linux system process，and successfully detect the House of Spirit attack in the memory based on the information combined with the attack detection algorithm.…”
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Relative Pose Estimation of an Uncooperative Target with Camera Marker Detection by Batu Candan, Simone Servadio

“…This paper introduces a novel method to detect structural markers on the European Space Agency’s Environmental Satellite (ENVISAT) for safe de-orbiting using image processing and Convolutional Neural Networks (CNNs). …”
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Combined Method for Informative Feature Selection for Speech Pathology Detection by D. S. Likhachov, M. I. Vashkevich, N. A. Petrovsky, E. S. Azarov

“…The task of detecting vocal abnormalities is characterized by a small amount of available data for training, as a consequence of which classification systems that use low-dimensional data are the most relevant. …”
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Enhancing Fabric Detection and Classification Using YOLOv5 Models by Makara Mao, Jun Ma, Ahyoung Lee, Min Hong

“…The developed model detected and classified fabrics with an accuracy of 81.08%. …”
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IOT System for Detecting Epileptic Seizures Based on Fuzzy Logic by Jehan A. abbas, Manaf K. Hussei, Riyadh A. Abbas

“…To achieve this the proposed system utilizes the STM32F103C8T6 microcontroller to process data from a 3-axis accelerometer, heart rate sensor and temperature sensor. …”
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An Empirical Evaluation of Ensemble Models for Python Code Smell Detection by Rajwant Singh Rao, Seema Dewangan, Alok Mishra

“…Code smells, which represent poor design choices or suboptimal code implementations, reduce software quality and hinder the code maintenance process. Detecting code smells is, therefore, essential during software development. …”
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Systematic Review of Deep Learning Techniques in Skin Cancer Detection by Carolina Magalhaes, Joaquim Mendes, Ricardo Vardasca

“…Nevertheless, these processes are strongly dependent on dermatologists’ experience, with excision advised only when cancer is suspected by a physician. …”
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Anomaly Detection for Wireless Cellular Communication Based on Synthetic Anomaly by Hyeongwoo Kim, Jinha Kim, Youngseo Ji, Byungkwan Kim

“…The method achieved AUROC scores of 90% (image-level) and 82% (pixel-level) under ISR 0 dB, outperforming traditional unsupervised learning-based detection methods. An ablation study demonstrated the effectiveness of the synthetic anomaly generation process, highlighting its contribution to enhanced detection performance. …”
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iSentenizer-μ: Multilingual Sentence Boundary Detection Model by Derek F. Wong, Lidia S. Chao, Xiaodong Zeng

“…The genres of data are often referred to the shifts of text topics and new languages domains. Although new detection models can be retrained for different languages or new text genres, previous model has to be thrown away and the creation process has to be restarted from scratch. …”
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Analysis for Detecting Banana Leaf Disease Using the CNN Method by Nita Helmawati, Ema Utami

“…This accuracy confirms the potential of CNN in significantly improving the disease detection process on banana plants. This research is expected to help farmers identify diseases more quickly and accurately, thereby minimizing yield losses and increasing productivity. …”
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