(<italic>r, k, &#x03B5;</italic>)-Anonymization: Privacy-Preserving Data Publishing Algorithm Based on Multi-Dimensional Outlier Detection, <italic>k</italic>-Anonymity, and <italic>&#x03B5;</italic>-Differential Privacy by Burak Cem Kara, Can Eyupoglu, Oktay Karakus

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Blind multiuser detection based on instantaneous mixtures by ZHAO Chen, GOU Bin, WANG Ke

“…The basic thought is to apply the existing blind source separation （BSS） algorithm to the signal detection in MIMO-OFDM systems. …”
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Automated anomaly detection of IPTV user experience by Xiaomin TAN, Ai FANG, Duo JIN, Changjiang LI

“…The practice indicates that the algorithm with low calculation cost adapts to abnormal changes in the network and detect anomalies accurately and quickly, which reduces labor costs, improves operation efficiency and promotes intelligent operation.…”
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A Review of Knowledge Distillation in Object Detection by Shengjie Cheng, Qiuxia Zhao, Xinyun Zhang, Nurbiya Yadikar, Kurban Ubul

“…Although target detection has been developed to a high level and can be deployed for applications in several fields, there are still some problems in practice, such as the two-phase detection algorithm has high detection accuracy but slow detection speed, while the one-phase detection algorithm is fast, but its accuracy is poor. …”
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Mobile Recommendation Based on Link Community Detection by Kun Deng, Jianpei Zhang, Jing Yang

“…In order to solve this problem, this paper proposes a novel mobile recommendation algorithm based on link community detection (MRLD). …”
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Temporal Community Detection and Analysis with Network Embeddings by Limengzi Yuan, Xuanming Zhang, Yuxian Ke, Zhexuan Lu, Xiaoming Li, Changzheng Liu

“…We derive the updating rules and provide rigorous theoretical proofs for the algorithm’s validity and convergence. Extensive experiments on synthetic and real-world social networks, including email and phone call networks, demonstrate the superior performance of our model in community detection and tracking temporal network evolution. …”
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Defect Detection of Power Equipment by Infrared Image by Ruiyong HUANG, Meisheng DAI, Yuebin ZHENG, Qinqin HUANG, Liye KANG, Xiantai GOU, Weichao ZHOU

“…According to the surface temperature range of equipment components and the type of substation equipment, the infrared image is combined with relevant temperature specifications to realize the defect detection of power equipment. The experimental results show that this method improves the accuracy of infrared image for detecting the defects of power equipment, and provides a new idea for infrared image used for intelligent detection of power equipment.…”
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Outlier detection method based on K-means by Liu Daojun, Liu Shuai, Zhang Yusong, Ou Sicheng

“…Therefore, it is significant to design an anomaly identification algorithm that does not require the intervention of expert information. …”
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Image processing for microprocessors TIM voids detection by Ting Ying Jiang, Mei-Hui Song, Zi-Ying Oh, Tong Liu

“…This software can automatically identify the rectangular chip die area and detect TIM voids within it. It then calculates the void occupancy percentage for each die area.The Niblack algorithm is employed in our void detection software. …”
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RAP detection method based on AP fingerprint by Qing LI, Ayong YE, Zhiqiang YAO, Aimin CHEN

“…The access point (AP) is an integral part of the infrastructure mode in wireless network.While the attacks caused by rogue AP (RAP) divulge a lot of users' privates in a large extent,such as the user's location information,surfing behavior on the Internet and social relations.A RAP detection algorithm based on AP fingerprint was proposed.The validity of AP was judged by the unforgeability and stability of the parameters of beacon frames.And the feasibility and effectiveness of the proposed method were further verified by scheme comparisons and experimental analysis.…”
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The Eyes: A Source of Information for Detecting Deepfakes by Elisabeth Tchaptchet, Elie Fute Tagne, Jaime Acosta, Danda B. Rawat, Charles Kamhoua

“…And our experimental results on the CelebA dataset and images generated by ProGAN also demonstrated that our algorithm achieved a detection accuracy of 0.870 and a sensitivity of 0.901. …”
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Lightweight Anomaly Detection for Wireless Sensor Networks by Pu Cheng, Minghua Zhu

“…In this paper two lightweight anomaly detection algorithms LADS and LADQA are proposed for WSNs. …”
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A one-stage anchor-free keypoints detection model for fast electric vehicle charging port detection and pose extraction by Feifei Hou, Qiwen Meng, Xinyu Fan, Yijun Wang

“…Tailored to pinpoint critical points of EV charging ports, FasterEVPoints incorporates the perspective-n-point (PnP) algorithm for pose extraction and the bundle adjustment (BA) optimization algorithm for refined pose accuracy. …”
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Multipath Detection Using Boolean Satisfiability Techniques by Fadi A. Aloul, Mohamed El-Tarhuni

“…A new technique for multipath detection in wideband mobile radio systems is presented. …”
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Using deep learning for detecting BotCloud by Guang KOU, Guang-ming TANG, Shuo WANG, Hai-tao SONG, Yuan BIAN

“…Finally, in order to detect BotCloud, it utilized CNN algorithm to learn and extract characteristics that were more abstract to express the hidden model and structural relationship in the network data flow. …”
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An Early Detection of Asthma Using BOMLA Detector by Md. Abdul Awal, Md. Shahadat Hossain, Kumar Debjit, Nafiz Ahmed, Rajan Dev Nath, G. M. Monsur Habib, Md. Salauddin Khan, Md. Akhtarul Islam, M. A. Parvez Mahmud

“…Even in the worst cases, it may destroy the quality to lead. Therefore, early detection of asthma is urgently needed, and machine learning can help identify asthma accurately. …”
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An experimental method for detecting objects in an aqueous environment by Kuzmin Yuri, Proshkin Stanislav

“…To facilitate this process, the researchers developed a specialized algorithm designed to filter out pulse and fluctuation interference. …”
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Unsupervised detection of semantic correlations in big data by Santiago Acevedo, Alex Rodriguez, Alessandro Laio

“…We present a method to detect these correlations in high-dimensional data represented as binary numbers. …”
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Intrusion detection method for IoT in heterogeneous environment by LIU Jing, MU Zelin, LAI Yingxu

“…Subsequently, an innovative heterogeneous model aggregation algorithm was introduced, utilizing similarity-weighted coefficients for channel averaging, thereby effectively mitigating the adverse effects of Non-IID data during the model aggregation process. …”
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Parkinson’s Disease Detection Based on Transfer Learning by Mohammad Talal Ghazal

“…In this research, a method was developed to detect Parkinson's disease using machine learning,  learning transfer techniques were relied upon to extract features from handwriting images that we obtained from the NewHandPD database, and then these images were classified into two categories (Parkinson's disease and non-Parkinson's disease) by KNN classification algorithm, for being accurate and fast in calculations, the results  of the  training of the INCEPTION-V4 model showed  a detection accuracy of up to 93%, as well as an area under the curve of 0.89 with a loss of only 0.2 , where this model can be relied on to diagnose and detect Parkinson's disease with high accuracy. …”
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